,statement,Part of,Paragraph,Series ordinal,ipccText,Causal?,Trigger,Explicit/implicit,Causation: Positive/Negative (causes/doesn't cause or produce/do_not_produce),Correlation (positive/negative or increase-increase/increase-decrease),Cause--NP,Effect--NP,Context - Cause,Context - Effect,Cause_no_quantifier,Effect_no_quantifier,cause belongs to,effect belongs to,abbreviations,Combined,confidence,confidenceLabel,Nested causality
0,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-91700757-4207-5de4-c0c1-5682b1be9db0,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,1.0,"Climate change has caused substantial damages, and increasingly irreversible losses, in terrestrial, freshwater, cryospheric and coastal and open ocean ecosystems.",Yes,has caused,E,Positive,Positive_correlation,climate change,substantial damages in terrestrial ecosystems,,,climate change,substantial damages in terrestrial ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
1,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-91700757-4207-5de4-c0c1-5682b1be9db0,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,1.0,"Climate change has caused substantial damages, and increasingly irreversible losses, in terrestrial, freshwater, cryospheric and coastal and open ocean ecosystems.",Yes,has caused,E,Positive,Positive_correlation,climate change,substantial damages in freshwater ecosystems,,,climate change,substantial damages in freshwater ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
2,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-91700757-4207-5de4-c0c1-5682b1be9db0,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,1.0,"Climate change has caused substantial damages, and increasingly irreversible losses, in terrestrial, freshwater, cryospheric and coastal and open ocean ecosystems.",Yes,has caused,E,Positive,Positive_correlation,climate change,substantial damages in cryospheric ecosystems,,,climate change,substantial damages in cryospheric ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
3,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-91700757-4207-5de4-c0c1-5682b1be9db0,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,1.0,"Climate change has caused substantial damages, and increasingly irreversible losses, in terrestrial, freshwater, cryospheric and coastal and open ocean ecosystems.",Yes,has caused,E,Positive,Positive_correlation,climate change,substantial damages in coastal ecosystems,,,climate change,substantial damages in coastal ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
4,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-91700757-4207-5de4-c0c1-5682b1be9db0,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,1.0,"Climate change has caused substantial damages, and increasingly irreversible losses, in terrestrial, freshwater, cryospheric and coastal and open ocean ecosystems.",Yes,has caused,E,Positive,Positive_correlation,climate change,substantial damages in open ocean ecosystems,,,climate change,substantial damages in open ocean ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
5,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-91700757-4207-5de4-c0c1-5682b1be9db0,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,1.0,"Climate change has caused substantial damages, and increasingly irreversible losses, in terrestrial, freshwater, cryospheric and coastal and open ocean ecosystems.",Yes,has caused,E,Positive,Positive_correlation,climate change,increasingly irreversible losses in terrestrial ecosystems,,,climate change,irreversible losses in terrestrial ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
6,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-91700757-4207-5de4-c0c1-5682b1be9db0,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,1.0,"Climate change has caused substantial damages, and increasingly irreversible losses, in terrestrial, freshwater, cryospheric and coastal and open ocean ecosystems.",Yes,has caused,E,Positive,Positive_correlation,climate change,increasingly irreversible losses in freshwater ecosystems,,,climate change,irreversible losses in freshwater ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
7,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-91700757-4207-5de4-c0c1-5682b1be9db0,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,1.0,"Climate change has caused substantial damages, and increasingly irreversible losses, in terrestrial, freshwater, cryospheric and coastal and open ocean ecosystems.",Yes,has caused,E,Positive,Positive_correlation,climate change,increasingly irreversible losses in cryospheric ecosystems,,,climate change,irreversible losses in cryospheric ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
8,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-91700757-4207-5de4-c0c1-5682b1be9db0,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,1.0,"Climate change has caused substantial damages, and increasingly irreversible losses, in terrestrial, freshwater, cryospheric and coastal and open ocean ecosystems.",Yes,has caused,E,Positive,Positive_correlation,climate change,increasingly irreversible losses in coastal ecosystems,,,climate change,irreversible losses in coastal ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
9,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-91700757-4207-5de4-c0c1-5682b1be9db0,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,1.0,"Climate change has caused substantial damages, and increasingly irreversible losses, in terrestrial, freshwater, cryospheric and coastal and open ocean ecosystems.",Yes,has caused,E,Positive,Positive_correlation,climate change,increasingly irreversible losses in open ocean ecosystems,,,climate change,irreversible losses in open ocean ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
10,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-e77a6537-4fd6-4b0b-bbe5-9ed3a8a98272,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,2.0,The extent and magnitude of climate change impacts are larger than estimated in previous assessments.,No,,,,,,,,,,,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
11,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,has reduced,E,Positive,Negative_correlation,climate change,reduced food security,,,climate change,food security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
12,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,/,I,Positive,Positive_correlation,climate change,warming,,,climate change,warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
13,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,has affected,E,Positive,Negative_correlation,climate change,affected water security,,,climate change,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
14,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,due to,E,Positive,Negative_correlation,warming,reduced food security,,,warming,food security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
15,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,due to,E,Positive,Negative_correlation,warming,affected water security,,,warming,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
16,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,/,I,Positive,Positive_correlation,climate change,changing precipitation patterns,,,climate change,changes in precipitation patterns,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
17,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,due to,E,Positive,Negative_correlation,changing precipitation patterns,reduced food security,,,changes in precipitation patterns,food security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
18,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,due to,E,Positive,Negative_correlation,changing precipitation patterns,affected water security,,,changes in precipitation patterns,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
19,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,/,I,Positive,Negative_correlation,climate change,reduction of cryospheric elements,,,climate change,cryospheric elements,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
20,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,due to,E,Positive,Positive_correlation,reduction of cryospheric elements,reduced food security,,,cryospheric elements,food security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
21,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,due to,E,Positive,Positive_correlation,reduction of cryospheric elements,affected water security,,,cryospheric elements,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
22,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,/,I,Positive,Negative_correlation,climate change,loss of cryospheric elements,,,climate change,cryospheric elements,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
23,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,due to,E,Positive,Positive_correlation,loss of cryospheric elements,reduced food security,,,cryospheric elements,food security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
24,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,due to,E,Positive,Positive_correlation,loss of cryospheric elements,affected water security,,,cryospheric elements,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
25,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,/,I,Positive,Positive_correlation,climate change,greater frequency of climatic extremes,,,climate change,frequency of climatic extremes,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
26,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,due to,E,Positive,Negative_correlation,greater frequency of climatic extremes,reduced food security,,,frequency of climatic extremes,food security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
27,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,due to,E,Positive,Negative_correlation,greater frequency of climatic extremes,affected water security,,,frequency of climatic extremes,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
28,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,/,I,Positive,Positive_correlation,climate change,greater intensity of climatic extremes,,,climate change,intensity of climatic extremes,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
29,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,due to,E,Positive,Negative_correlation,greater intensity of climatic extremes,reduced food security,,,intensity of climatic extremes,food security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
30,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,due to,E,Positive,Negative_correlation,greater intensity of climatic extremes,affected water security,,,intensity of climatic extremes,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
31,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,hindering,E,Positive,Positive_correlation,affected water security,hindered efforts to meet Sustainable Development Goals,,,water security,efforts to meet Sustainable Development Goals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
32,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-E855C7F6-45D3-46BC-9A1E-32A6C2EFABEF,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,1.0,"Climate change has reduced food security and affected water security due to warming, changing precipitation patterns, reduction and loss of cryospheric elements, and greater frequency and intensity of climatic extremes, thereby hindering efforts to meet Sustainable Development Goals (high confidence).",Yes,hindering,E,Positive,Positive_correlation,reduced food security,hindered efforts to meet Sustainable Development Goals,,,food security,efforts to meet Sustainable Development Goals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
33,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-D0B66845-36AA-4795-9C97-DBE3CB16413B,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,3.0,"Ocean warming in the 20th century and beyond has contributed to an overall decrease in maximum catch potential (medium confidence), compounding the impacts from overfishing for some fish stocks (high confidence).",Yes,has contributed to ,E,Positive,Negative_correlation,ocean warming,an overall decrease in maximum catch potential,in the 20th century and beyond,,ocean warming,maximum catch potential,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,medium confidence,
34,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-D0B66845-36AA-4795-9C97-DBE3CB16413B,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,3.0,"Ocean warming in the 20th century and beyond has contributed to an overall decrease in maximum catch potential (medium confidence), compounding the impacts from overfishing for some fish stocks (high confidence).",Yes,compounding,E,Positive,Positive_correlation,ocean warming,negative impacts on some fish stocks,in the 20th century and beyond,,ocean warming,negative impacts on some fish stocks,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,high confidence,
35,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-D0B66845-36AA-4795-9C97-DBE3CB16413B,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,3.0,"Ocean warming in the 20th century and beyond has contributed to an overall decrease in maximum catch potential (medium confidence), compounding the impacts from overfishing for some fish stocks (high confidence).",Yes,the impacts from,E,Positive,Positive_correlation,overfishing,negative impacts on some fish stocks,,,overfishing,negative impacts on some fish stocks,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,high confidence,
36,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-FB104E76-C217-4124-901B-131E0246D5A3,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,4.0,Ocean warming and ocean acidification have adversely affected food production from shellfish aquaculture and fisheries in some oceanic regions (high confidence).,Yes,have adversely affected,E,Positive,Negative_correlation,ocean warming,decrease in food production from shellfish aquaculture,,in some oceanic regions,ocean warming,food production from shellfish aquaculture,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
37,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-FB104E76-C217-4124-901B-131E0246D5A3,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,4.0,Ocean warming and ocean acidification have adversely affected food production from shellfish aquaculture and fisheries in some oceanic regions (high confidence).,Yes,have adversely affected,E,Positive,Negative_correlation,ocean warming,decrease in food production from shellfish fisheries,,in some oceanic regions,ocean warming,food production from shellfish fisheries,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
38,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-FB104E76-C217-4124-901B-131E0246D5A3,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,4.0,Ocean warming and ocean acidification have adversely affected food production from shellfish aquaculture and fisheries in some oceanic regions (high confidence).,Yes,have adversely affected,E,Positive,Negative_correlation,ocean acidification,decrease in food production from shellfish aquaculture,,in some oceanic regions,ocean acidification,food production from shellfish aquaculture,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
39,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-FB104E76-C217-4124-901B-131E0246D5A3,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,4.0,Ocean warming and ocean acidification have adversely affected food production from shellfish aquaculture and fisheries in some oceanic regions (high confidence).,Yes,have adversely affected,E,Positive,Negative_correlation,ocean acidification,decrease in food production from shellfish fisheries,,in some oceanic regions,ocean acidification,food production from shellfish fisheries,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
40,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-FEE22909-74C0-41DF-9FA3-BC5AB21567BE,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,5.0,Roughly half of the world’s population currently experiences severe water scarcity for at least some part of the year due to a combination of climatic and non-climatic drivers (medium confidence) (Figure 2.3).,Yes,due to,E,Positive,Positive_correlation,combination of climatic and non-climatic drivers,severe water scarcity,,for at least some part of the year; roughly half of the world's population,combination of climatic and non-climatic drivers,water scarcity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
41,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-FEE22909-74C0-41DF-9FA3-BC5AB21567BE,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,5.0,Roughly half of the world’s population currently experiences severe water scarcity for at least some part of the year due to a combination of climatic and non-climatic drivers (medium confidence) (Figure 2.3).,Yes,due to,E,Positive,Positive_correlation,climatic drivers,severe water scarcity,,for at least some part of the year; roughly half of the world's population,climatic drivers,water scarcity,combination of climatic and non-climatic drivers,,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
42,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-FEE22909-74C0-41DF-9FA3-BC5AB21567BE,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,5.0,Roughly half of the world’s population currently experiences severe water scarcity for at least some part of the year due to a combination of climatic and non-climatic drivers (medium confidence) (Figure 2.3).,Yes,due to,E,Positive,Positive_correlation,non-climatic drivers,severe water scarcity,,for at least some part of the year; roughly half of the world's population,non-climatic drivers,water scarcity,combination of climatic and non-climatic drivers,,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
43,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing weather extreme events,acute food insecurity,,in many locations and/or communities in Africa,weather extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
44,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing climate extreme events,acute food insecurity,,in many locations and/or communities in Africa,climate extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
45,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing weather extreme events,reduced water security,,in many locations and/or communities in Africa,weather extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
46,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing climate extreme events,reduced water security,,in many locations and/or communities in Africa,climate extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
47,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing weather extreme events,acute food insecurity,,in many locations and/or communities in Asia,weather extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
48,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing climate extreme events,acute food insecurity,,in many locations and/or communities in Asia,climate extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
49,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing weather extreme events,reduced water security,,in many locations and/or communities in Asia,weather extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
50,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing climate extreme events,reduced water security,,in many locations and/or communities in Asia,climate extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
51,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing weather extreme events,acute food insecurity,,in many locations and/or communities in Central America,weather extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
52,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing climate extreme events,acute food insecurity,,in many locations and/or communities in Central America,climate extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
53,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing weather extreme events,reduced water security,,in many locations and/or communities in Central America,weather extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
54,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing climate extreme events,reduced water security,,in many locations and/or communities in Central America,climate extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
55,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing weather extreme events,acute food insecurity,,in many locations and/or communities in South America,weather extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
56,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing climate extreme events,acute food insecurity,,in many locations and/or communities in South America,climate extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
57,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing weather extreme events,reduced water security,,in many locations and/or communities in South America,weather extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
58,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing climate extreme events,reduced water security,,in many locations and/or communities in Central America,climate extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
59,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing weather extreme events,acute food insecurity,,in many locations and/or communities in Least Developed Countries,weather extreme events,acute food insecurity,,,LDC = Least Developed Countries,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
60,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing climate extreme events,acute food insecurity,,in many locations and/or communities in Least Developed Countries,climate extreme events,acute food insecurity,,,LDC = Least Developed Countries,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
61,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing weather extreme events,reduced water security,,in many locations and/or communities in Least Developed Countries,weather extreme events,water security,,,LDC = Least Developed Countries,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
62,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing climate extreme events,reduced water security,,in many locations and/or communities in Least Developed Countries,climate extreme events,water security,,,LDC = Least Developed Countries,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
63,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing weather extreme events,acute food insecurity,,in many locations and/or communities in Small Islands,weather extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
64,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing climate extreme events,acute food insecurity,,in many locations and/or communities in Small Islands,climate extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
65,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing weather extreme events,reduced water security,,in many locations and/or communities in Small Islands,weather extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
66,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing climate extreme events,reduced water security,,in many locations and/or communities in Small Islands,climate extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
67,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing weather extreme events,acute food insecurity,,in many locations and/or communities in the Arctic,weather extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
68,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing climate extreme events,acute food insecurity,,in many locations and/or communities in the Arctic,climate extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
69,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing weather extreme events,reduced water security,,in many locations and/or communities in the Arctic,weather extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
70,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing climate extreme events,reduced water security,,in many locations and/or communities in the Arctic,climate extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
71,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing weather extreme events,acute food insecurity,,for small-scale food producers,weather extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
72,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing climate extreme events,acute food insecurity,,for small-scale food producers,climate extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
73,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing weather extreme events,reduced water security,,for small-scale food producers,weather extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
74,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing climate extreme events,reduced water security,,for small-scale food producers,climate extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
75,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing weather extreme events,acute food insecurity,,for low-income households,weather extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
76,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing climate extreme events,acute food insecurity,,for low-income households,climate extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
77,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing weather extreme events,reduced water security,,for low-income households,weather extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
78,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing climate extreme events,reduced water security,,for low-income households,climate extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
79,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing weather extreme events,acute food insecurity,,for Indigenous Peoples globally,weather extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
80,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Positive_correlation,increasing climate extreme events,acute food insecurity,,for Indigenous Peoples globally,climate extreme events,acute food insecurity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
81,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing weather extreme events,reduced water security,,for Indigenous Peoples globally,weather extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
82,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-8596A0D2-911B-42FF-A4AD-BFBB53D5F4C2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,7.0,"Increasing weather and climate extreme events have exposed millions of people to acute food insecurity and reduced water security, with the largest impacts observed in many locations and/or communities in Africa, Asia, Central and South America, LDCs, Small Islands and the Arctic, and for small-scale food producers, low-income households and Indigenous Peoples globally (high confidence).",Yes,have exposed,I,Positive,Negative_correlation,increasing climate extreme events,reduced water security,,for Indigenous Peoples globally,climate extreme events,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
83,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-5c4b3054-44fa-688d-cabe-e7b015bdf399,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,4.0,Biological responses including changes in geographic placement and shifting seasonal timing are often not sufficient to cope with recent climate change.,No,,,,,,,,,,,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
84,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-669765c0-44d4-5a6a-9ee3-bd30d9ce034c,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,5.0,Hundreds of local losses of species have been driven by increases in the magnitude of heat extremes [..].,Yes,have been driven by,E,Positive,Positive_correlation,increases in the magnitude of heat extremes,hundreds of local losses of species,,,magnitude of heat extremes,local losses of species,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
85,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-89040448-4229-35cc-38d1-f328ce719524,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,5.0,Hundreds of local losses of species have been driven by increases in [..] and mass mortality events on land and in the ocean,Yes,have been driven by,E,Positive,Positive_correlation,mass mortality events on land,hundreds of local losses of species,,,mass mortality events on land,local losses of species,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
86,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-89040448-4229-35cc-38d1-f328ce719524,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,5.0,Hundreds of local losses of species have been driven by increases in [..] and mass mortality events on land and in the ocean,Yes,have been driven by,E,Positive,Positive_correlation,mass mortality events in the ocean,hundreds of local losses of species,,,mass mortality events in the ocean,local losses of species,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
87,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-f12af37c-4799-6b27-4763-2e079500c4f7,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,7.0,"Impacts on some ecosystems are approaching irreversibility such as the impacts of hydrological changes resulting from the retreat of glaciers, or the changes in some [..] Arctic ecosystems driven by permafrost thaw.",Yes,resulting from,E,Positive,Positive_correlation,retreat of glaciers,hydrological changes,,,retreat of glaciers,hydrological changes,,impacts on some ecosystems,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
88,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-f12af37c-4799-6b27-4763-2e079500c4f7,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,7.0,"Impacts on some ecosystems are approaching irreversibility such as the impacts of hydrological changes resulting from the retreat of glaciers, or the changes in some [..] Arctic ecosystems driven by permafrost thaw.",Yes,driven by,E,Positive,Positive_correlation,permafrost thaw,changes in some Arctic ecosystems,,,permafrost thaw,changes in some Arctic ecosystems,,impacts on some ecosystems,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
89,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-f12af37c-4799-6b27-4763-2e079500c4f7,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,7.0,"Impacts on some ecosystems are approaching irreversibility such as the impacts of hydrological changes resulting from the retreat of glaciers, or the changes in some [..] Arctic ecosystems driven by permafrost thaw.",Yes,resulting from,I,Positive,Positive_correlation,retreat of glaciers,impacts on some ecosystems,,,retreat of glaciers,impacts on some ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
90,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-f12af37c-4799-6b27-4763-2e079500c4f7,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,7.0,"Impacts on some ecosystems are approaching irreversibility such as the impacts of hydrological changes resulting from the retreat of glaciers, or the changes in some [..] Arctic ecosystems driven by permafrost thaw.",Yes,driven by,I,Positive,Positive_correlation,permafrost thaw,impacts on some ecosystems,,,permafrost thaw,impacts on some ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
91,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-57a890f9-4d7e-3d18-a3c6-9ecdab0a8d5e,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,8.0,"Impacts in ecosystems from slow-onset processes such as ocean acidification, sea level rise or regional decreases in precipitation have also been attributed to human-caused climate change.",Yes,from,E,Positive,Positive_correlation,slow-onset processes,impacts in ecosystems,,,slow-onset processes,impacts in ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
92,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-57a890f9-4d7e-3d18-a3c6-9ecdab0a8d5e,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,8.0,"Impacts in ecosystems from slow-onset processes such as ocean acidification, sea level rise or regional decreases in precipitation have also been attributed to human-caused climate change.",Yes,from,E,Positive,Positive_correlation,ocean acidification,impacts in ecosystems,,,ocean acidification,impacts in ecosystems,slow-onset processes,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
93,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-57a890f9-4d7e-3d18-a3c6-9ecdab0a8d5e,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,8.0,"Impacts in ecosystems from slow-onset processes such as ocean acidification, sea level rise or regional decreases in precipitation have also been attributed to human-caused climate change.",Yes,from,E,Positive,Positive_correlation,sea level rise,impacts in ecosystems,,,sea level rise,impacts in ecosystems,slow-onset processes,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
94,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-57a890f9-4d7e-3d18-a3c6-9ecdab0a8d5e,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,8.0,"Impacts in ecosystems from slow-onset processes such as ocean acidification, sea level rise or regional decreases in precipitation have also been attributed to human-caused climate change.",Yes,from,E,Positive,Negative_correlation,regional decreases in precipitation,impacts in ecosystems,,,precipitation,impacts in ecosystems,slow-onset processes,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
95,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-57a890f9-4d7e-3d18-a3c6-9ecdab0a8d5e,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,8.0,"Impacts in ecosystems from slow-onset processes such as ocean acidification, sea level rise or regional decreases in precipitation have also been attributed to human-caused climate change.",Yes,caused,E,Positive,Positive_correlation,humans,climate change,,,human activities,climate change,,human-caused climate change,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
96,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-57a890f9-4d7e-3d18-a3c6-9ecdab0a8d5e,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,8.0,"Impacts in ecosystems from slow-onset processes such as ocean acidification, sea level rise or regional decreases in precipitation have also been attributed to human-caused climate change.",Yes,have also been attributed to,E,Positive,Positive_correlation,human-caused climate change,slow-onset processes,,,human-caused climate change,slow-onset processes,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
97,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-57a890f9-4d7e-3d18-a3c6-9ecdab0a8d5e,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,8.0,"Impacts in ecosystems from slow-onset processes such as ocean acidification, sea level rise or regional decreases in precipitation have also been attributed to human-caused climate change.",Yes,have also been attributed to,E,Positive,Positive_correlation,human-caused climate change,ocean acidification,,,human-caused climate change,ocean acidification,,slow-onset processes,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
98,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-57a890f9-4d7e-3d18-a3c6-9ecdab0a8d5e,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,8.0,"Impacts in ecosystems from slow-onset processes such as ocean acidification, sea level rise or regional decreases in precipitation have also been attributed to human-caused climate change.",Yes,have also been attributed to,E,Positive,Negative_correlation,human-caused climate change,regional decreases in precipitation,,,human-caused climate change,precipitation,,slow-onset processes,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
99,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-57a890f9-4d7e-3d18-a3c6-9ecdab0a8d5e,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,8.0,"Impacts in ecosystems from slow-onset processes such as ocean acidification, sea level rise or regional decreases in precipitation have also been attributed to human-caused climate change.",Yes,have also been attributed to,E,Positive,Positive_correlation,human-caused climate change,sea level rise,,,human-caused climate change,sea level rise,,slow-onset processes,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
100,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-57a890f9-4d7e-3d18-a3c6-9ecdab0a8d5e,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,8.0,"Impacts in ecosystems from slow-onset processes such as ocean acidification, sea level rise or regional decreases in precipitation have also been attributed to human-caused climate change.",Yes,have also been attributed to,E,Positive,Positive_correlation,human-caused climate change,impacts in ecosystems,,,human-caused climate change,impacts in ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
101,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-6626f1fb-4d51-d9df-b9f6-6a2634624cc1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,9.0,"Climate change has contributed to desertification and exacerbated land degradation, particularly in low lying coastal areas, river deltas, drylands and in permafrost areas.",Yes,has contributed to ,E,Positive,Positive_correlation,climate change,desertification,,,climate change,desertification,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
102,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-6626f1fb-4d51-d9df-b9f6-6a2634624cc1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,9.0,"Climate change has contributed to desertification and exacerbated land degradation, particularly in low lying coastal areas, river deltas, drylands and in permafrost areas.",Yes,has contributed to ,E,Positive,Positive_correlation,climate change,exacerbated land degradation,,,climate change,land degradation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
103,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-6626f1fb-4d51-d9df-b9f6-6a2634624cc1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,9.0,"Climate change has contributed to desertification and exacerbated land degradation, particularly in low lying coastal areas, river deltas, drylands and in permafrost areas.",Yes,has contributed to ,E,Positive,Positive_correlation,climate change,desertification,,in low lying coastal areas,climate change,desertification,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
104,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-6626f1fb-4d51-d9df-b9f6-6a2634624cc1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,9.0,"Climate change has contributed to desertification and exacerbated land degradation, particularly in low lying coastal areas, river deltas, drylands and in permafrost areas.",Yes,has contributed to ,E,Positive,Positive_correlation,climate change,exacerbated land degradation,,in low lying coastal areas,climate change,land degradation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
105,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-6626f1fb-4d51-d9df-b9f6-6a2634624cc1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,9.0,"Climate change has contributed to desertification and exacerbated land degradation, particularly in low lying coastal areas, river deltas, drylands and in permafrost areas.",Yes,has contributed to ,E,Positive,Positive_correlation,climate change,desertification,,in river deltas,climate change,desertification,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
106,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-6626f1fb-4d51-d9df-b9f6-6a2634624cc1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,9.0,"Climate change has contributed to desertification and exacerbated land degradation, particularly in low lying coastal areas, river deltas, drylands and in permafrost areas.",Yes,has contributed to ,E,Positive,Positive_correlation,climate change,exacerbated land degradation,,in river deltas,climate change,land degradation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
107,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-6626f1fb-4d51-d9df-b9f6-6a2634624cc1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,9.0,"Climate change has contributed to desertification and exacerbated land degradation, particularly in low lying coastal areas, river deltas, drylands and in permafrost areas.",Yes,has contributed to ,E,Positive,Positive_correlation,climate change,desertification,,in drylands,climate change,desertification,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
108,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-6626f1fb-4d51-d9df-b9f6-6a2634624cc1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,9.0,"Climate change has contributed to desertification and exacerbated land degradation, particularly in low lying coastal areas, river deltas, drylands and in permafrost areas.",Yes,has contributed to ,E,Positive,Positive_correlation,climate change,exacerbated land degradation,,in drylands,climate change,land degradation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
109,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-6626f1fb-4d51-d9df-b9f6-6a2634624cc1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,9.0,"Climate change has contributed to desertification and exacerbated land degradation, particularly in low lying coastal areas, river deltas, drylands and in permafrost areas.",Yes,has contributed to ,E,Positive,Positive_correlation,climate change,desertification,,in permafrost areas,climate change,desertification,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
110,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-6626f1fb-4d51-d9df-b9f6-6a2634624cc1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,9.0,"Climate change has contributed to desertification and exacerbated land degradation, particularly in low lying coastal areas, river deltas, drylands and in permafrost areas.",Yes,has contributed to ,E,Positive,Positive_correlation,climate change,exacerbated land degradation,,in permafrost areas,climate change,land degradation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
111,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-ce4e2ece-4f91-e3c8-193e-8c1391f796e8,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,10.0,"Nearly 50% of coastal wetlands have been lost over the last 100 years, as a result of the combined effects of localised human pressures, sea level rise, warming and extreme climate events.",Yes,as a result of,E,Positive,Positive_correlation,"combined effects of localised human pressures, sea level rise, warming and extreme climate events",loss of nearly 50% of coastal wetlands,,over the last 100 years,"combined effects of localised human pressures, sea level rise, warming and extreme climate events",loss of coastal wetlands,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
112,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-ce4e2ece-4f91-e3c8-193e-8c1391f796e8,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,10.0,"Nearly 50% of coastal wetlands have been lost over the last 100 years, as a result of the combined effects of localised human pressures, sea level rise, warming and extreme climate events.",Yes,as a result of,E,Positive,Positive_correlation,localised human pressures,loss of nearly 50% of coastal wetlands,,over the last 100 years,localised human pressures,loss of coastal wetlands,"combined effects of localised human pressures, sea level rise, warming and extreme climate events",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
113,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-ce4e2ece-4f91-e3c8-193e-8c1391f796e8,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,10.0,"Nearly 50% of coastal wetlands have been lost over the last 100 years, as a result of the combined effects of localised human pressures, sea level rise, warming and extreme climate events.",Yes,as a result of,E,Positive,Positive_correlation,sea level rise,loss of nearly 50% of coastal wetlands,,over the last 100 years,sea level rise,loss of coastal wetlands,"combined effects of localised human pressures, sea level rise, warming and extreme climate events",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
114,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-ce4e2ece-4f91-e3c8-193e-8c1391f796e8,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,10.0,"Nearly 50% of coastal wetlands have been lost over the last 100 years, as a result of the combined effects of localised human pressures, sea level rise, warming and extreme climate events.",Yes,as a result of,E,Positive,Positive_correlation,warming,loss of nearly 50% of coastal wetlands,,over the last 100 years,warming,loss of coastal wetlands,"combined effects of localised human pressures, sea level rise, warming and extreme climate events",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
115,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-ce4e2ece-4f91-e3c8-193e-8c1391f796e8,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,10.0,"Nearly 50% of coastal wetlands have been lost over the last 100 years, as a result of the combined effects of localised human pressures, sea level rise, warming and extreme climate events.",Yes,as a result of,E,Positive,Positive_correlation,extreme climate events,loss of nearly 50% of coastal wetlands,,over the last 100 years,extreme climate events,loss of coastal wetlands,"combined effects of localised human pressures, sea level rise, warming and extreme climate events",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
116,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,caused,E,Positive,Positive_correlation,humans,warming,,,human activities,warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
117,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,caused,E,Positive,Positive_correlation,humans,increase in global surface temperature,,,human activities,global surface temperature,,warming,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
118,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,caused,E,Positive,Positive_correlation,humans,increase in global surface temperature over land,,,human activities,global surface temperature over land,,warming,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
119,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,caused,E,Positive,Positive_correlation,humans,increase in global surface temperature over the ocean,,,human activities,global surface temperature over the ocean,,warming,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
120,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,/,I,Positive,Positive_correlation,humans,greenhouse gases,,,human activities,greenhouse gases,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
121,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,/,I,Positive,Positive_correlation,humans,carbon dioxide,,,human activities,carbon dioxide,,greenhouse gases,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
122,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,/,I,Positive,Positive_correlation,humans,methane,,,human activities,methane,,greenhouse gases,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
123,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,from,E,Positive,Positive_correlation,greenhouse gases,warming,,,greenhouse gases,warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
124,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,/,I,Positive,Positive_correlation,greenhouse gases,increase in global surface temperature,,,greenhouse gases,global surface temperature,,warming,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
125,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,/,I,Positive,Positive_correlation,greenhouse gases,increase in global surface temperature over land,,,greenhouse gases,global surface temperature over land,,warming,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
126,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,/,I,Positive,Positive_correlation,greenhouse gases,increase in global surface temperature over the ocean,,,greenhouse gases,global surface temperature over the ocean,,warming,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
127,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,from,E,Positive,Positive_correlation,carbon dioxide,warming,,,carbon dioxide,warming,greenhouse gases,,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
128,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,/,I,Positive,Positive_correlation,carbon dioxide,increase in global surface temperature over land,,,carbon dioxide,global surface temperature over land,greenhouse gases,warming,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
129,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,/,I,Positive,Positive_correlation,carbon dioxide,increase in global surface temperature over the ocean,,,carbon dioxide,global surface temperature over the ocean,greenhouse gases,warming,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
130,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,from,E,Positive,Positive_correlation,methane,warming,,,methane,warming,greenhouse gases,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
131,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,/,I,Positive,Positive_correlation,methane,increase in global surface temperature over land,,,methane,global surface temperature over land,greenhouse gases,warming,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
132,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,/,I,Positive,Positive_correlation,methane,increase in global surface temperature over the ocean,,,methane,global surface temperature over the ocean,greenhouse gases,warming,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
133,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,caused,I,Positive,Positive_correlation,humans,aerosols,,,human activities,aerosols,,greenhouse gases,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
134,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,cooling,I,Positive,Positive_correlation,aerosols,cooling,,,aerosols,cooling,greenhouse gases,aerosol cooling,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
135,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q66-c5676b9b-4aab-173e-d221-c0afb84e57e0,2.1.1 Observed Warming and its Causes,2.1.1.a,1.0,"Global surface temperature was around 1.1°C above 1850–1900 in 2011–2020 (1.09°C [0.95°C– 1.20°C]), with larger increases over land (1.59 [1.34 to 1.83]°C) than over the ocean (0.88°C [0.68°C– 1.01°C]). Observed warming is human-caused, with warming from greenhouse gases (GHG), dominated by CO2 and methane (CH4), partly masked by aerosol cooling (Figure 2.1). Global surface temperature in the first two decades of the 21st century (2001-2020) was 0.99 [0.84 to 1.10]°C higher than 1850-1900. Global surface temperature has increased faster since 1970 than in any other 50-year period over at least the last 2000 years",Yes,masked by,E,Positive,Negative_correlation,aerosol cooling,masked warming,,,aerosol cooling,warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
136,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q101-eefd077b-48e8-0906-7e28-64caaeb798cb,2.1.1 Observed Warming and its Causes,2.1.1.b,2.0,"In 2019, atmospheric CO2 concentrations reached 410 parts per million (ppm), CH4 reached 1866 parts per billion (ppb) and nitrous oxide (N2O) reached 332 ppb. Other major contributors to warming are tropospheric ozone (O3) and halogenated gases. Concentrations of CH4 and N2O have increased to levels unprecedented in at least 800,000 years (very high confidence), and there is high confidence that current CO2 concentrations are higher than at any time over at least the past two million years.",Yes,Other major contributors to,I,Positive,Positive_correlation,atmospheric carbon dioxide concentrations,warming,,,atmospheric carbon dioxide concentrations,warming,,,CO2 = carbon dioxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
137,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q101-eefd077b-48e8-0906-7e28-64caaeb798cb,2.1.1 Observed Warming and its Causes,2.1.1.b,2.0,"In 2019, atmospheric CO2 concentrations reached 410 parts per million (ppm), CH4 reached 1866 parts per billion (ppb) and nitrous oxide (N2O) reached 332 ppb. Other major contributors to warming are tropospheric ozone (O3) and halogenated gases. Concentrations of CH4 and N2O have increased to levels unprecedented in at least 800,000 years (very high confidence), and there is high confidence that current CO2 concentrations are higher than at any time over at least the past two million years.",Yes,Other major contributors to,I,Positive,Positive_correlation,methane concentrations,warming,,,methane concentrations,warming,,,CH4 = methane,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
138,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q101-eefd077b-48e8-0906-7e28-64caaeb798cb,2.1.1 Observed Warming and its Causes,2.1.1.b,2.0,"In 2019, atmospheric CO2 concentrations reached 410 parts per million (ppm), CH4 reached 1866 parts per billion (ppb) and nitrous oxide (N2O) reached 332 ppb. Other major contributors to warming are tropospheric ozone (O3) and halogenated gases. Concentrations of CH4 and N2O have increased to levels unprecedented in at least 800,000 years (very high confidence), and there is high confidence that current CO2 concentrations are higher than at any time over at least the past two million years.",Yes,Other major contributors to,I,Positive,Positive_correlation,nitrous oxide concentrations,warming,,,nitrous oxide concentrations,warming,,,N2O = nitrous oxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
139,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q101-eefd077b-48e8-0906-7e28-64caaeb798cb,2.1.1 Observed Warming and its Causes,2.1.1.b,2.0,"In 2019, atmospheric CO2 concentrations reached 410 parts per million (ppm), CH4 reached 1866 parts per billion (ppb) and nitrous oxide (N2O) reached 332 ppb. Other major contributors to warming are tropospheric ozone (O3) and halogenated gases. Concentrations of CH4 and N2O have increased to levels unprecedented in at least 800,000 years (very high confidence), and there is high confidence that current CO2 concentrations are higher than at any time over at least the past two million years.",Yes,Other major contributors to,E,Positive,Positive_correlation,tropospheric ozone,warming,,,tropospheric ozone,warming,,,O3 = tropospheric ozone,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
140,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q101-eefd077b-48e8-0906-7e28-64caaeb798cb,2.1.1 Observed Warming and its Causes,2.1.1.b,2.0,"In 2019, atmospheric CO2 concentrations reached 410 parts per million (ppm), CH4 reached 1866 parts per billion (ppb) and nitrous oxide (N2O) reached 332 ppb. Other major contributors to warming are tropospheric ozone (O3) and halogenated gases. Concentrations of CH4 and N2O have increased to levels unprecedented in at least 800,000 years (very high confidence), and there is high confidence that current CO2 concentrations are higher than at any time over at least the past two million years.",Yes,Other major contributors to,E,Positive,Positive_correlation,halogenated gases,warming,,,halogenated gases,warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
141,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q101-c729fff7-4c44-8dca-5920-76dd8f8f1838,2.1.1 Observed Warming and its Causes,2.1.1.b,3.0,"Since 1750, increases in CO2 (47%) and CH4 (156%) concentrations far exceed – and increases in N2O (23%) are similar to – the natural multi-millennial changes between glacial and interglacial periods over at least the past 800,000 years.",No,,,,,,,,,,,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
142,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q295-e4a61db7-4e14-6330-07e3-193b6ecb88f1,2.1.1 Observed Warming and its Causes,2.1.1.e,1.0,"Historical cumulative net CO2 emissions from 1850 to 2019 were 2400 ±240 GtCO2. Of these, more than half (58%) occurred between 1850 and 1989 [1400 ±195 GtCO2], and about 42% between 1990 and 2019 [1000 ±90 GtCO2]. Global net anthropogenic GHG emissions have been estimated to be 59±6.6 GtCO2-eq in 2019, about 12% (6.5 GtCO2-eq) higher than in 2010 and 54% (21 GtCO2-eq) higher than in 1990. By 2019, the largest growth in gross emissions occurred in CO2 from fossil fuels and industry (CO2-FFI) followed by CH4, whereas the highest relative growth occurred in fluorinated gases (F-gases), starting from low levels in 1990.",Yes,anthropogenic,I,Positive,Positive_correlation,humans,greenhouse gases emissions,,,human activities,greenhouse gases emissions,,anthropogenic greenhouse gases emissions,GHG = greenhouse gases,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
143,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q295-e4a61db7-4e14-6330-07e3-193b6ecb88f1,2.1.1 Observed Warming and its Causes,2.1.1.e,1.0,"Historical cumulative net CO2 emissions from 1850 to 2019 were 2400 ±240 GtCO2. Of these, more than half (58%) occurred between 1850 and 1989 [1400 ±195 GtCO2], and about 42% between 1990 and 2019 [1000 ±90 GtCO2]. Global net anthropogenic GHG emissions have been estimated to be 59±6.6 GtCO2-eq in 2019, about 12% (6.5 GtCO2-eq) higher than in 2010 and 54% (21 GtCO2-eq) higher than in 1990. By 2019, the largest growth in gross emissions occurred in CO2 from fossil fuels and industry (CO2-FFI) followed by CH4, whereas the highest relative growth occurred in fluorinated gases (F-gases), starting from low levels in 1990.",Yes,anthropogenic,I,Positive,Positive_correlation,humans,carbon dioxide emissions,,,human activities,carbon dioxide emissions,,anthropogenic greenhouse gases emissions,CO2 = carbon dixioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
144,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q295-e4a61db7-4e14-6330-07e3-193b6ecb88f1,2.1.1 Observed Warming and its Causes,2.1.1.e,1.0,"Historical cumulative net CO2 emissions from 1850 to 2019 were 2400 ±240 GtCO2. Of these, more than half (58%) occurred between 1850 and 1989 [1400 ±195 GtCO2], and about 42% between 1990 and 2019 [1000 ±90 GtCO2]. Global net anthropogenic GHG emissions have been estimated to be 59±6.6 GtCO2-eq in 2019, about 12% (6.5 GtCO2-eq) higher than in 2010 and 54% (21 GtCO2-eq) higher than in 1990. By 2019, the largest growth in gross emissions occurred in CO2 from fossil fuels and industry (CO2-FFI) followed by CH4, whereas the highest relative growth occurred in fluorinated gases (F-gases), starting from low levels in 1990.",Yes,anthropogenic,I,Positive,Positive_correlation,humans,methane emissions,,,human activities,methane emissions,,anthropogenic greenhouse gases emissions,CH4 = methane,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
145,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q295-e4a61db7-4e14-6330-07e3-193b6ecb88f1,2.1.1 Observed Warming and its Causes,2.1.1.e,1.0,"Historical cumulative net CO2 emissions from 1850 to 2019 were 2400 ±240 GtCO2. Of these, more than half (58%) occurred between 1850 and 1989 [1400 ±195 GtCO2], and about 42% between 1990 and 2019 [1000 ±90 GtCO2]. Global net anthropogenic GHG emissions have been estimated to be 59±6.6 GtCO2-eq in 2019, about 12% (6.5 GtCO2-eq) higher than in 2010 and 54% (21 GtCO2-eq) higher than in 1990. By 2019, the largest growth in gross emissions occurred in CO2 from fossil fuels and industry (CO2-FFI) followed by CH4, whereas the highest relative growth occurred in fluorinated gases (F-gases), starting from low levels in 1990.",Yes,anthropogenic,I,Positive,Positive_correlation,humans,fluorinated gases emissions,,,human activities,fluorinated gases emissions,,anthropogenic greenhouse gases emissions,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
146,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q295-e4a61db7-4e14-6330-07e3-193b6ecb88f1,2.1.1 Observed Warming and its Causes,2.1.1.e,1.0,"Historical cumulative net CO2 emissions from 1850 to 2019 were 2400 ±240 GtCO2. Of these, more than half (58%) occurred between 1850 and 1989 [1400 ±195 GtCO2], and about 42% between 1990 and 2019 [1000 ±90 GtCO2]. Global net anthropogenic GHG emissions have been estimated to be 59±6.6 GtCO2-eq in 2019, about 12% (6.5 GtCO2-eq) higher than in 2010 and 54% (21 GtCO2-eq) higher than in 1990. By 2019, the largest growth in gross emissions occurred in CO2 from fossil fuels and industry (CO2-FFI) followed by CH4, whereas the highest relative growth occurred in fluorinated gases (F-gases), starting from low levels in 1990.",Yes,from,E,Positive,Positive_correlation,fossil fuels,growth in carbon dixiode emissions,,,fossil fuels,carbon dixiode emissions,,,CO2 = carbon dixioxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
147,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q295-e4a61db7-4e14-6330-07e3-193b6ecb88f1,2.1.1 Observed Warming and its Causes,2.1.1.e,1.0,"Historical cumulative net CO2 emissions from 1850 to 2019 were 2400 ±240 GtCO2. Of these, more than half (58%) occurred between 1850 and 1989 [1400 ±195 GtCO2], and about 42% between 1990 and 2019 [1000 ±90 GtCO2]. Global net anthropogenic GHG emissions have been estimated to be 59±6.6 GtCO2-eq in 2019, about 12% (6.5 GtCO2-eq) higher than in 2010 and 54% (21 GtCO2-eq) higher than in 1990. By 2019, the largest growth in gross emissions occurred in CO2 from fossil fuels and industry (CO2-FFI) followed by CH4, whereas the highest relative growth occurred in fluorinated gases (F-gases), starting from low levels in 1990.",Yes,from,E,Positive,Positive_correlation,industry,growth in carbon dixiode emissions,,,industry,carbon dixiode emissions,,,CO2 = carbon dixioxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
148,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q295-e4a61db7-4e14-6330-07e3-193b6ecb88f1,2.1.1 Observed Warming and its Causes,2.1.1.e,1.0,"Historical cumulative net CO2 emissions from 1850 to 2019 were 2400 ±240 GtCO2. Of these, more than half (58%) occurred between 1850 and 1989 [1400 ±195 GtCO2], and about 42% between 1990 and 2019 [1000 ±90 GtCO2]. Global net anthropogenic GHG emissions have been estimated to be 59±6.6 GtCO2-eq in 2019, about 12% (6.5 GtCO2-eq) higher than in 2010 and 54% (21 GtCO2-eq) higher than in 1990. By 2019, the largest growth in gross emissions occurred in CO2 from fossil fuels and industry (CO2-FFI) followed by CH4, whereas the highest relative growth occurred in fluorinated gases (F-gases), starting from low levels in 1990.",Yes,CO2-FFI,E,Positive,Positive_correlation,industrial processes,carbon dioxide emissions,,,industrial processes,carbon dixiode emissions,,,CO2-FFI = carbon dioxide from fossil fuels and industrial processes,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
149,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q295-e4a61db7-4e14-6330-07e3-193b6ecb88f1,2.1.1 Observed Warming and its Causes,2.1.1.e,1.0,"Historical cumulative net CO2 emissions from 1850 to 2019 were 2400 ±240 GtCO2. Of these, more than half (58%) occurred between 1850 and 1989 [1400 ±195 GtCO2], and about 42% between 1990 and 2019 [1000 ±90 GtCO2]. Global net anthropogenic GHG emissions have been estimated to be 59±6.6 GtCO2-eq in 2019, about 12% (6.5 GtCO2-eq) higher than in 2010 and 54% (21 GtCO2-eq) higher than in 1990. By 2019, the largest growth in gross emissions occurred in CO2 from fossil fuels and industry (CO2-FFI) followed by CH4, whereas the highest relative growth occurred in fluorinated gases (F-gases), starting from low levels in 1990.",Yes,CO2-FFI,E,Positive,Positive_correlation,fossil fuels,carbon dioxide emissions,,,fossil fuels,carbon dixiode emissions,,,CO2-FFI = carbon dioxide from fossil fuels and industrial processes,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
150,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-744f104b-4a31-d6a0-e19a-91bf5aaac88d,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,1.0,"Sea level rise is unavoidable for centuries to millennia due to continuing deep ocean warming and ice sheet melt, and sea levels will remain elevated for thousands of years.",Yes,due to,E,Positive,Positive_correlation,continuing deep ocean warming,unavoidable sea level rise,,,deep ocean warming,sea level rise,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
151,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-744f104b-4a31-d6a0-e19a-91bf5aaac88d,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,1.0,"Sea level rise is unavoidable for centuries to millennia due to continuing deep ocean warming and ice sheet melt, and sea levels will remain elevated for thousands of years.",Yes,due to,E,Positive,Positive_correlation,continuing ice sheet melt,unavoidable sea level rise,,,ice sheet melt,sea level rise,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
152,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-53c04e4a-4493-9798-a605-37c2525111fa,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,2.0,"Global mean sea level rise will continue in the 21st century (virtually certain), with projected regional relative sea level rise within 20% of the global mean along two-thirds of the global coastline.",No,,,,,,,,,,,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
153,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-2a3a13f0-47c9-d654-129f-492cff45837b,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,4.0,"Due to relative sea level rise, extreme sea level events that occurred once per century in the recent past are projected to occur at least annually at more than half of all tide gauge locations by 2100 and risks for coastal ecosystems, people and infrastructure will continue to increase beyond 2100.",Yes,due to,E,Positive,Positive_correlation,relative sea level rise,increased occurence of extreme sea level events,,at least annually at more than half of all tide gauge locations by 2100,relative sea level rise,occurence of extreme sea level events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
154,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-2a3a13f0-47c9-d654-129f-492cff45837b,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,4.0,"Due to relative sea level rise, extreme sea level events that occurred once per century in the recent past are projected to occur at least annually at more than half of all tide gauge locations by 2100 and risks for coastal ecosystems, people and infrastructure will continue to increase beyond 2100.",Yes,due to,E,Positive,Positive_correlation,relative sea level rise,increased risks for coastal ecosystems,,beyond 2100,relative sea level rise,risk for coastal ecosystems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
155,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-2a3a13f0-47c9-d654-129f-492cff45837b,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,4.0,"Due to relative sea level rise, extreme sea level events that occurred once per century in the recent past are projected to occur at least annually at more than half of all tide gauge locations by 2100 and risks for coastal ecosystems, people and infrastructure will continue to increase beyond 2100.",Yes,due to,E,Positive,Positive_correlation,relative sea level rise,increased risks for people,,beyond 2100,relative sea level rise,risk for people,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
156,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-2a3a13f0-47c9-d654-129f-492cff45837b,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,4.0,"Due to relative sea level rise, extreme sea level events that occurred once per century in the recent past are projected to occur at least annually at more than half of all tide gauge locations by 2100 and risks for coastal ecosystems, people and infrastructure will continue to increase beyond 2100.",Yes,due to,E,Positive,Positive_correlation,relative sea level rise,increased risks for infrastructure,,beyond 2100,relative sea level rise,risk for infrastructure,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
157,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-907f2e68-40d7-43b5-bd29-8c9d1f4fb62b,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,6.0,The probability and rate of ice mass loss increase with higher global surface temperatures.,Yes,increase,E,Positive,Positive_correlation,higher global surface temperatures,increased probability of ice mass loss,,,global surface temperatures,probability of ice mass loss,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
158,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-907f2e68-40d7-43b5-bd29-8c9d1f4fb62b,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,6.0,The probability and rate of ice mass loss increase with higher global surface temperatures.,Yes,increase,E,Positive,Positive_correlation,higher global surface temperatures,increased rate of ice mass loss,,,global surface temperatures,rate of ice mass loss,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
159,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-0ad53a85-4bec-91ce-f30b-6ea22ce9c9ae,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,7.0,"Over the next 2000 years, global mean sea level will rise by about 2– 3 m if warming is limited to 1.5°C and 2–6 m if limited to 2°C.",Yes,will rise,E,Positive,Negative_correlation,limitation of warming to 1.5°C,rise in global mean sea level by about 2-3 m,,over the next 2000 years,limitation of warming,global mean sea level,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q17,low confidence,
160,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-0ad53a85-4bec-91ce-f30b-6ea22ce9c9ae,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,7.0,"Over the next 2000 years, global mean sea level will rise by about 2– 3 m if warming is limited to 1.5°C and 2–6 m if limited to 2°C.",Yes,will rise,E,Positive,Negative_correlation,limitation of warming to 2°C,rise in global mean sea level by about 2-6 m,,over the next 2000 years,limitation of warming,global mean sea level,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q17,low confidence,
161,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-0ad53a85-4bec-91ce-f30b-6ea22ce9c9ae,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,7.0,"Over the next 2000 years, global mean sea level will rise by about 2– 3 m if warming is limited to 1.5°C and 2–6 m if limited to 2°C.",Yes,will rise,I,Positive,Positive_correlation,warming,rise in global mean sea level,,,warming,global mean sea level,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q17,low confidence,
162,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-11e0ea23-4d78-f4ef-9d3d-26d5f764d200,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,8.0,"Projections of multi-millennial global mean sea level rise are consistent with reconstructed levels during past warm climate periods: global mean sea level was very likely 5–25 m higher than today roughly 3 million years ago, when global temperatures were 2.5°C–4°C higher than 1850–1900.",Yes,rise,I,Positive,Positive_correlation,higher global temperatures,rise in  global mean sea level,,multi-millennial,global temperatures,global mean sea level,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
163,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-f23b5d48-44be-ceb1-1107-9d28ed655863,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,9.0,Further examples of unavoidable changes in the climate system due to multi-decadal or longer response timescales include continued glacier melt and permafrost carbon loss.,Yes,due to,E,Positive,Positive_correlation,multi-decadal or longer reponse timescales,unavoidable changes in the climate system,,,multi-decadal or longer reponse timescales,unavoidable changes in the climate system,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
164,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-f23b5d48-44be-ceb1-1107-9d28ed655863,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,9.0,Further examples of unavoidable changes in the climate system due to multi-decadal or longer response timescales include continued glacier melt and permafrost carbon loss.,Yes,due to,E,Positive,Positive_correlation,multi-decadal or longer reponse timescales,continued glacier melt,,,multi-decadal or longer reponse timescales,glacier melt,,unavoidable changes in the climate system,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
165,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q164-f23b5d48-44be-ceb1-1107-9d28ed655863,3.1.3 The Likelihood and Risks of Abrupt and Irreversible Change ,3.1.3.b,9.0,Further examples of unavoidable changes in the climate system due to multi-decadal or longer response timescales include continued glacier melt and permafrost carbon loss.,Yes,due to,E,Positive,Positive_correlation,multi-decadal or longer reponse timescales,continued permafrost carbon loss,,,multi-decadal or longer reponse timescales,permafrost carbon loss,,unavoidable changes in the climate system,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
166,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-48a55834-445e-3621-c47a-5b02e9eef729,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,4.0,The implementation of packages of multiple city-scale mitigation strategies can have cascading effects across sectors and reduce GHG emissions both within and outside a city’s administrative boundaries.,Yes,can have cascading effects,E,Positive,Positive_correlation,implementation of packages of multiple city-scale mitigation strategies,cascading effects across sectors,,,implementation of packages of multiple city-scale mitigation strategies,effects across sectors,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
167,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-48a55834-445e-3621-c47a-5b02e9eef729,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,4.0,The implementation of packages of multiple city-scale mitigation strategies can have cascading effects across sectors and reduce GHG emissions both within and outside a city’s administrative boundaries.,Yes,reduce,E,Positive,Negative_correlation,effects across sectors,reduction of greenhouse gases emissions,,within a city's administrative boundaries,effects across sectors,greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
168,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-48a55834-445e-3621-c47a-5b02e9eef729,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,4.0,The implementation of packages of multiple city-scale mitigation strategies can have cascading effects across sectors and reduce GHG emissions both within and outside a city’s administrative boundaries.,Yes,reduce,E,Positive,Negative_correlation,effects across sectors,reduction of greenhouse gases emissions,,outside a city's administrative boundaries,effects across sectors,greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
169,,,,,The implementation of packages of multiple city-scale mitigation strategies can have cascading effects across sectors and reduce GHG emissions both within and outside a city’s administrative boundaries.,Yes,reduce,E,Positive,Negative_correlation,implementation of packages of multiple city-scale mitigation strategies,greenhouse gases emissions,,within a city's administrative boundaries,implementation of packages of multiple city-scale mitigation strategies,greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
170,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-b9e85419-48e7-325d-2123-6922890c50c9,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,1.0,Approaches that align goals and actions across sectors provide opportunities for multiple and large- scale benefits and avoided damages in the near-term. Such measures can also achieve greater benefits through cascading effects across sectors,Yes,provide,E,Positive,Positive_correlation,approaches that align goals and actions across sectors,opportunities for multiple benefits,,in the near-term,approaches that align goals and actions across sectors,opportunities for multiple benefits,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
171,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-b9e85419-48e7-325d-2123-6922890c50c9,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,1.0,Approaches that align goals and actions across sectors provide opportunities for multiple and large- scale benefits and avoided damages in the near-term. Such measures can also achieve greater benefits through cascading effects across sectors,Yes,provide,E,Positive,Positive_correlation,approaches that align goals and actions across sectors,opportunities for large-scale benefits,,in the near-term,approaches that align goals and actions across sectors,opportunities for large-scale benefits,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
172,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-b9e85419-48e7-325d-2123-6922890c50c9,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,1.0,Approaches that align goals and actions across sectors provide opportunities for multiple and large- scale benefits and avoided damages in the near-term. Such measures can also achieve greater benefits through cascading effects across sectors,Yes,avoid,E,Negative,Negative_correlation,approaches that align goals and actions across sectors,damages,,in the near-term,approaches that align goals and actions across sectors,damages,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
173,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-b9e85419-48e7-325d-2123-6922890c50c9,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,1.0,Approaches that align goals and actions across sectors provide opportunities for multiple and large- scale benefits and avoided damages in the near-term. Such measures can also achieve greater benefits through cascading effects across sectors,Yes,through,E,Negative,Positive_correlation,approaches that align goals and actions across sectors,cascading effects across sectors,,in the near-term,approaches that align goals and actions across sectors,cascading effects across sectors,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
174,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-b9e85419-48e7-325d-2123-6922890c50c9,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,1.0,Approaches that align goals and actions across sectors provide opportunities for multiple and large- scale benefits and avoided damages in the near-term. Such measures can also achieve greater benefits through cascading effects across sectors,Yes,through,E,Negative,Positive_correlation,cascading effects across sectors,greater benefits,,in the near-term,cascading effects across sectors,benefits,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
175,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options,trade-offs in terms of employment,,,well-implemented land-based mitigation options,trade-offs in terms of employment,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
176,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options,trade-offs in terms of water use,,,well-implemented land-based mitigation options,trade-offs in terms of water use,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
177,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options,trade-offs in terms of land-use competition,,,well-implemented land-based mitigation options,trade-offs in terms of land-use competition,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
178,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options,trade-offs in terms of biodiversity,,,well-implemented land-based mitigation options,trade-offs in terms of biodiversity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
179,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options,trade-offs in terms of access to energy,,,well-implemented land-based mitigation options,trade-offs in terms of access to energy,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
180,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options,trade-offs in terms of access to food,,,well-implemented land-based mitigation options,trade-offs in terms of access to food,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
181,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options,trade-offs in terms of access to water,,,well-implemented land-based mitigation options,trade-offs in terms of access to water,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
182,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options,trade-offs in terms of the affordability of energy,,,well-implemented land-based mitigation options,trade-offs in terms of the affordability of energy,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
183,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options,trade-offs in terms of the affordability of food,,,well-implemented land-based mitigation options,trade-offs in terms of the affordability of food,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
184,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options,trade-offs in terms of the affordability of water,,,well-implemented land-based mitigation options,trade-offs in terms of the affordability of water,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
185,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of employment,,,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of employment,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
186,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of water use,,,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of water use,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
187,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of land-use competition,,,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of land-use competition,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
188,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of biodiversity,,,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of biodiversity,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
189,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of access to energy,,,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of access to energy,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
190,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of access to food,,,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of access to food,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
191,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of access to water,,,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of access to water,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
192,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of the affordability of energy,,,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of the affordability of energy,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
193,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of the affordability of food,,,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of the affordability of food,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
194,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of the affordability of water,,,well-implemented land-based mitigation options that do not threaten existing sustainable land uses,trade-offs in terms of the affordability of water,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
195,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of employment,,,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of employment,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
196,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of water use,,,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of water use,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
197,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of land-use competition,,,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of land-use competition,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
198,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of biodiversity,,,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of biodiversity,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
199,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of access to energy,,,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of access to energy,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
200,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of access to food,,,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of access to food,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
201,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of access to water,,,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of access to water,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
202,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of the affordability of energy,,,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of the affordability of energy,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
203,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of the affordability of food,,,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of the affordability of food,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
204,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of the affordability of water,,,well-implemented land-based mitigation options that do not threaten existing sustainable land rights,trade-offs in terms of the affordability of water,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
205,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of employment,,,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of employment,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
206,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of water use,,,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of water use,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
207,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of land-use competition,,,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of land-use competition,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
208,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of biodiversity,,,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of biodiversity,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
209,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of access to energy,,,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of access to energy,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
210,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of access to food,,,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of access to food,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
211,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of access to water,,,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of access to water,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
212,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of the affordability of energy,,,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of the affordability of energy,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
213,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of the affordability of food,,,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of the affordability of food,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
214,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f0,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,6.0,"Trade-offs in terms of employment, water use, land-use competition and biodiversity, as well as access to, and the affordability of, energy, food, and water can be avoided by well-implemented land-based mitigation options, especially those that do not threaten existing sustainable land uses and land rights, with frameworks for integrated policy implementation.",Yes,can be avoided by,E,Negative,Negative_correlation,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of the affordability of water,,,well-implemented land-based mitigation options with frameworks for integrated policy implementation,trade-offs in terms of the affordability of water,well-implemented land-based mitigation options,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
215,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,provide,E,Positive,Positive_correlation,integrated design approaches to the construction of buildings,increasing examples of zero energy buildings,,in several regions,integrated design approaches to the construction of buildings,zero energy buildings,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
216,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,provide,E,Positive,Positive_correlation,integrated design approaches to the construction of buildings,increasing examples of zero carbon buildings,,in several regions,integrated design approaches to the construction of buildings,zero carbon buildings,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
217,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,provide,E,Positive,Positive_correlation,integrated design approaches to the retrofit of buildings,increasing examples of zero energy buildings,,in several regions,integrated design approaches to the retrofit of buildings,zero energy buildings,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
218,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,provide,E,Positive,Positive_correlation,integrated design approaches to the retrofit of buildings,increasing examples of zero carbon buildings,,in several regions,integrated design approaches to the retrofit of buildings,zero carbon buildings,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
219,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,provide,E,Positive,Positive_correlation,integrated design approaches to the construction and retrofit of buildings,increasing examples of zero energy buildings,,in several regions,integrated design approaches to the construction and retrofit of buildings,zero energy buildings,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
220,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,provide,E,Positive,Positive_correlation,integrated design approaches to the construction and retrofit of buildings,increasing examples of zero carbon buildings,,in several regions,integrated design approaches to the construction and retrofit of buildings,zero carbon buildings,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
221,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,to minimise,I,Positive,Negative_correlation,multi-sectoral planning with flexible pathways,minimised maladaptation,,,multi-sectoral planning with flexible pathways,maladaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
222,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,to minimise,I,Positive,Negative_correlation,multi-actor planning with flexible pathways,minimised maladaptation,,,multi-actor planning with flexible pathways,maladaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
223,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,to minimise,I,Positive,Negative_correlation,inclusive planning with flexible pathways,minimised maladaptation,,,inclusive planning with flexible pathways,maladaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
224,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-sectoral planning with flexible pathways,low-regret actions that keep options open,,,multi-sectoral planning with flexible pathways,low-regret actions that keep options open,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
225,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-actor planning with flexible pathways,low-regret actions that keep options open,,,multi-actor planning with flexible pathways,low-regret actions that keep options open,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
226,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,inclusive planning with flexible pathways,low-regret actions that keep options open,,,inclusive planning with flexible pathways,low-regret actions that keep options open,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
227,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-sectoral planning with flexible pathways,timely actions that keep options open,,,multi-sectoral planning with flexible pathways,timely actions that keep options open,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
228,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-actor planning with flexible pathways,timely actions that keep options open,,,multi-actor planning with flexible pathways,timely actions that keep options open,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
229,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,inclusive planning with flexible pathways,timely actions that keep options open,,,inclusive planning with flexible pathways,timely actions that keep options open,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
230,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-sectoral planning with flexible pathways,low-regret actions that ensure benefits in multiple sectors,,,multi-sectoral planning with flexible pathways,low-regret actions that ensure benefits in multiple sectors,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
231,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-actor planning with flexible pathways,low-regret actions that ensure benefits in multiple sectors,,,multi-actor planning with flexible pathways,low-regret actions that ensure benefits in multiple sectors,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
232,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,inclusive planning with flexible pathways,low-regret actions that ensure benefits in multiple sectors,,,inclusive planning with flexible pathways,low-regret actions that ensure benefits in multiple sectors,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
233,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-sectoral planning with flexible pathways,timely actions that ensure benefits in multiple sectors,,,multi-sectoral planning with flexible pathways,timely actions that ensure benefits in multiple sectors,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
234,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-actor planning with flexible pathways,timely actions that ensure benefits in multiple sectors,,,multi-actor planning with flexible pathways,timely actions that ensure benefits in multiple sectors,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
235,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,inclusive planning with flexible pathways,timely actions that ensure benefits in multiple sectors,,,inclusive planning with flexible pathways,timely actions that ensure benefits in multiple sectors,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
236,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-sectoral planning with flexible pathways,low-regret actions that ensure benefits in multiple systems,,,multi-sectoral planning with flexible pathways,low-regret actions that ensure benefits in multiple systems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
237,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-actor planning with flexible pathways,low-regret actions that ensure benefits in multiple systems,,,multi-actor planning with flexible pathways,low-regret actions that ensure benefits in multiple systems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
238,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,inclusive planning with flexible pathways,low-regret actions that ensure benefits in multiple systems,,,inclusive planning with flexible pathways,low-regret actions that ensure benefits in multiple systems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
239,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-sectoral planning with flexible pathways,timely actions that ensure benefits in multiple systems,,,multi-sectoral planning with flexible pathways,timely actions that ensure benefits in multiple systems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
240,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-actor planning with flexible pathways,timely actions that ensure benefits in multiple systems,,,multi-actor planning with flexible pathways,timely actions that ensure benefits in multiple systems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
241,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,inclusive planning with flexible pathways,timely actions that ensure benefits in multiple systems,,,inclusive planning with flexible pathways,timely actions that ensure benefits in multiple systems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
242,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-sectoral planning with flexible pathways,low-regret actions that suggest the available solution space for adapting to long-term climate change,,,multi-sectoral planning with flexible pathways,low-regret actions that suggest the available solution space for adapting to long-term climate change,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
243,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-actor planning with flexible pathways,low-regret actions that suggest the available solution space for adapting to long-term climate change,,,multi-actor planning with flexible pathways,low-regret actions that suggest the available solution space for adapting to long-term climate change,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
244,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,inclusive planning with flexible pathways,low-regret actions that suggest the available solution space for adapting to long-term climate change,,,inclusive planning with flexible pathways,low-regret actions that suggest the available solution space for adapting to long-term climate change,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
245,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-sectoral planning with flexible pathways,timely actions that suggest the available solution space for adapting to long-term climate change,,,multi-sectoral planning with flexible pathways,timely actions that suggest the available solution space for adapting to long-term climate change,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
246,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,multi-actor planning with flexible pathways,timely actions that suggest the available solution space for adapting to long-term climate change,,,multi-actor planning with flexible pathways,timely actions that suggest the available solution space for adapting to long-term climate change,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
247,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,encourage,I,Positive,Positive_correlation,inclusive planning with flexible pathways,timely actions that suggest the available solution space for adapting to long-term climate change,,,inclusive planning with flexible pathways,timely actions that suggest the available solution space for adapting to long-term climate change,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
248,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,to minimise,I,Positive,Negative_correlation,timely actions that suggest the available solution space for adapting to long-term climate change,minimised maladaptation,,,timely actions that suggest the available solution space for adapting to long-term climate change,maladaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
249,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,to minimise,I,Positive,Negative_correlation,low-regret actions that suggest the available solution space for adapting to long-term climate change,minimised maladaptation,,,low-regret actions that suggest the available solution space for adapting to long-term climate change,maladaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
250,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,to minimise,I,Positive,Negative_correlation,low-regret actions that ensure benefits in multiple systems,minimised maladaptation,,,low-regret actions that ensure benefits in multiple systems,maladaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
251,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,to minimise,I,Positive,Negative_correlation,timely actions that ensure benefits in multiple systems,minimised maladaptation,,,timely actions that ensure benefits in multiple systems,maladaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
252,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,to minimise,I,Positive,Negative_correlation,low-regret actions that ensure benefits in multiple sectors,minimised maladaptation,,,low-regret actions that ensure benefits in multiple sectors,maladaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
253,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,to minimise,I,Positive,Negative_correlation,timely actions that ensure benefits in multiple sectors,minimised maladaptation,,,timely actions that ensure benefits in multiple sectors,maladaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
254,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,to minimise,I,Positive,Negative_correlation,low-regret actions that keep options open,minimised maladaptation,,,low-regret actions that keep options open,maladaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
255,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-cd14d8c3-4fd2-60cb-72fb-29537ddbe2f1,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,5.0,"Integrated design approaches to the construction and retrofit of buildings provide increasing examples of zero energy or zero carbon buildings in several regions. To minimise maladaptation, multi-sectoral, multi-actor and inclusive planning with flexible pathways encourages low-regret and timely actions that keep options open, ensure benefits in multiple sectors and systems and suggest the available solution space for adapting to long-term climate change.",Yes,to minimise,I,Positive,Negative_correlation,timely actions that keep options open,minimised maladaptation,,,timely actions that keep options open,maladaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q15,very high confidence,
256,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated transport and energy infrastructure planning and operations,"reduced environmental, social, and economic impacts of decarbonising the transport and energy sectors",,,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
257,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated transport infrastructure planning,reduced environmental impacts of decarbonising the transport sectors,,,integrated transport infrastructure planning,environmental impacts of decarbonising the transport sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
258,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated transport infrastructure planning,reduced environmental impacts of decarbonising the energy sectors,,,integrated transport infrastructure planning,environmental impacts of decarbonising the energy sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
259,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated transport infrastructure planning,reduced social impacts of decarbonising the transport sectors,,,integrated transport infrastructure planning,social impacts of decarbonising the transport sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
260,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated transport infrastructure planning,reduced social impacts of decarbonising the energy sectors,,,integrated transport infrastructure planning,social impacts of decarbonising the energy sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
261,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated transport infrastructure planning,reduced economic impacts of decarbonising the transport sectors,,,integrated transport infrastructure planning,economic impacts of decarbonising the transport sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
262,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated transport infrastructure planning,reduced economic impacts of decarbonising the energy sectors,,,integrated transport infrastructure planning,economic impacts of decarbonising the energy sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
263,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated transport infrastructure operations,reduced environmental impacts of decarbonising the transport sectors,,,integrated transport infrastructure operations,environmental impacts of decarbonising the transport sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
264,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated transport infrastructure operations,reduced environmental impacts of decarbonising the energy sectors,,,integrated transport infrastructure operations,environmental impacts of decarbonising the energy sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
265,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated transport infrastructure operations,reduced social impacts of decarbonising the transport sectors,,,integrated transport infrastructure operations,social impacts of decarbonising the transport sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
266,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated transport infrastructure operations,reduced social impacts of decarbonising the energy sectors,,,integrated transport infrastructure operations,social impacts of decarbonising the energy sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
267,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated transport infrastructure operations,reduced economic impacts of decarbonising the transport sectors,,,integrated transport infrastructure operations,economic impacts of decarbonising the transport sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
268,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated transport infrastructure operations,reduced economic impacts of decarbonising the energy sectors,,,integrated transport infrastructure operations,economic impacts of decarbonising the energy sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
269,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated energy infrastructure planning,reduced environmental impacts of decarbonising the transport sectors,,,integrated energy infrastructure planning,environmental impacts of decarbonising the transport sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
270,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated energy infrastructure planning,reduced environmental impacts of decarbonising the energy sectors,,,integrated energy infrastructure planning,environmental impacts of decarbonising the energy sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
271,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated energy infrastructure planning,reduced social impacts of decarbonising the transport sectors,,,integrated energy infrastructure planning,social impacts of decarbonising the transport sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
272,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated energy infrastructure planning,reduced social impacts of decarbonising the energy sectors,,,integrated energy infrastructure planning,social impacts of decarbonising the energy sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
273,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated energy infrastructure planning,reduced economic impacts of decarbonising the transport sectors,,,integrated energy infrastructure planning,economic impacts of decarbonising the transport sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
274,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated energy infrastructure planning,reduced economic impacts of decarbonising the energy sectors,,,integrated energy infrastructure planning,economic impacts of decarbonising the energy sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
275,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated energy infrastructure operations,reduced environmental impacts of decarbonising the transport sectors,,,integrated energy infrastructure operations,environmental impacts of decarbonising the transport sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
276,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated energy infrastructure operations,reduced environmental impacts of decarbonising the energy sectors,,,integrated energy infrastructure operations,environmental impacts of decarbonising the energy sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
277,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated energy infrastructure operations,reduced social impacts of decarbonising the transport sectors,,,integrated energy infrastructure operations,social impacts of decarbonising the transport sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
278,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated energy infrastructure operations,reduced social impacts of decarbonising the energy sectors,,,integrated energy infrastructure operations,social impacts of decarbonising the energy sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
279,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated energy infrastructure operations,reduced economic impacts of decarbonising the transport sectors,,,integrated energy infrastructure operations,economic impacts of decarbonising the transport sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
280,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-f6985073-464d-c8c8-db4e-cff6dbf7f889,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,3.0,"Similarly, integrated transport and energy infrastructure planning and operations can together reduce the environmental, social, and economic impacts of decarbonising the transport and energy sectors.",Yes,reduce,E,Positive,Negative_correlation,integrated energy infrastructure operations,reduced economic impacts of decarbonising the energy sectors,,,integrated energy infrastructure operations,economic impacts of decarbonising the energy sectors,integrated transport and energy infrastructure planning and operations,"environmental, social, and economic impacts of decarbonising the transport and energy sectors",,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
281,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-fff8cbf0-497f-5e6c-7041-46a573e65ab9,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,2.0,"For example, the feasibility of using land for both agriculture and centralised solar production can increase when such options are combined.",Yes,can increase,E,Positive,Positive_correlation,combination of using land for both agriculture and centralised solar production,increased feasibility of using land for agriculture,,,combination of such options,feasibility of using land for agriculture,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
282,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-fff8cbf0-497f-5e6c-7041-46a573e65ab9,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,2.0,"For example, the feasibility of using land for both agriculture and centralised solar production can increase when such options are combined.",Yes,can increase,E,Positive,Positive_correlation,use of land for agriculture,increased feasibility of using land for centralised solar production,,,combination of such options,feasibility of using land for centralised solar production,combination of using land for both agriculture and centralised solar production,,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
283,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q231-fff8cbf0-497f-5e6c-7041-46a573e65ab9,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.c,2.0,"For example, the feasibility of using land for both agriculture and centralised solar production can increase when such options are combined.",Yes,can increase,E,Positive,Positive_correlation,use of land for centralised solar production,increased feasibility of using land for centralised solar production,,,combination of such options,feasibility of using land for centralised solar production,combination of using land for both agriculture and centralised solar production,,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
284,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can provide,E,Positive,Positive_correlation,"sustainable implementation of Agriculture, Forestry, and Other Land Use mitigation actions in land-use change",large-scale greenhouse gases emission reductions,,,"sustainable implementation of Agriculture, Forestry, and Other Land Use mitigation actions in land-use change",large-scale greenhouse gases emission reductions,effective action in land-use change,,"AFOLU = Agriculture, Forestry, and Other Land Use; GHG = greenhouse gases",No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
285,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can provide,E,Positive,Positive_correlation,"sustainable implementation of Agriculture, Forestry, and Other Land Use mitigation actions in land-use change",large-scale greenhouse gases emission removals,,,"sustainable implementation of Agriculture, Forestry, and Other Land Use mitigation actions in land-use change",large-scale greenhouse gases emission removals,effective action in land-use change,,"AFOLU = Agriculture, Forestry, and Other Land Use; GHG = greenhouse gases",No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
286,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can provide,E,Positive,Positive_correlation,"sustainable implementation of Agriculture, Forestry, and Other Land Use mitigation actions in forestry",large-scale greenhouse gases emission reductions,,,"sustainable implementation of Agriculture, Forestry, and Other Land Use mitigation actions in forestry",large-scale greenhouse gases emission reductions,effective action in forestry,,"AFOLU = Agriculture, Forestry, and Other Land Use; GHG = greenhouse gases",No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
287,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can provide,E,Positive,Positive_correlation,"sustainable implementation of Agriculture, Forestry, and Other Land Use mitigation actions in forestry",large-scale greenhouse gases emission removals,,,"sustainable implementation of Agriculture, Forestry, and Other Land Use mitigation actions in forestry",large-scale greenhouse gases emission removals,effective action in forestry,,"AFOLU = Agriculture, Forestry, and Other Land Use; GHG = greenhouse gases",No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
288,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,benefit,E,Positive,Positive_correlation,large-scale greenhouse gases emission reductions,benefits for biodiversity,,,large-scale greenhouse gases emission reductions,benefits for biodiversity,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
289,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,benefit,E,Positive,Positive_correlation,large-scale greenhouse gases emission reductions,benefits for food security,,,large-scale greenhouse gases emission reductions,benefits for food security,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
290,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,benefit,E,Positive,Positive_correlation,large-scale greenhouse gases emission reductions,benefits for wood supply,,,large-scale greenhouse gases emission reductions,benefits for wood supply,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
291,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,benefit,E,Positive,Positive_correlation,large-scale greenhouse gases emission reductions,benefits for other ecosystem services,,,large-scale greenhouse gases emission reductions,benefits for other ecosystem services,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
292,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,benefit,E,Positive,Positive_correlation,large-scale greenhouse gases emission reductions,benefits for biodiversity,,,large-scale greenhouse gases emission reductions,benefits for biodiversity,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
293,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,benefit,E,Positive,Positive_correlation,large-scale greenhouse gases emission reductions,benefits for food security,,,large-scale greenhouse gases emission reductions,benefits for food security,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
294,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,benefit,E,Positive,Positive_correlation,large-scale greenhouse gases emission reductions,benefits for wood supply,,,large-scale greenhouse gases emission reductions,benefits for wood supply,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
295,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,benefit,E,Positive,Positive_correlation,large-scale greenhouse gases emission reductions,benefits for other ecosystem services,,,large-scale greenhouse gases emission reductions,benefits for other ecosystem services,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
296,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,cannot fully compensate,E,Negative,Negative_correlation,"sustainable implementation of Agriculture, Forestry, and Other Land Use mitigation actions in land-use change",full compensation for delayed mitigation actions in other sectors,,,"sustainable implementation of Agriculture, Forestry, and Other Land Use mitigation actions in land-use change",full compensation for delayed mitigation actions in other sectors,effective action in land-use change,,"AFOLU = Agriculture, Forestry, and Other Land Use",No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
297,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,cannot fully compensate,E,Negative,Negative_correlation,"sustainable implementation of Agriculture, Forestry, and Other Land Use mitigation actions in forestry",full compensation for delayed mitigation actions in other sectors,,,"sustainable implementation of Agriculture, Forestry, and Other Land Use mitigation actions in forestry",full compensation for delayed mitigation actions in other sectors,effective action in forestry,,"AFOLU = Agriculture, Forestry, and Other Land Use",No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
298,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in land systems,widespread benefits for food security,,,Adaptation measures in land systems,benefits for food security,effective action in land systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
299,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in land systems,widespread benefits for nutrition,,,Adaptation measures in land systems,benefits for nutrition,effective action in land systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
300,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in land systems,widespread benefits for health,,,Adaptation measures in land systems,benefits for health,effective action in land systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
301,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in land systems,widespread benefits for well-being,,,Adaptation measures in land systems,benefits for well-being,effective action in land systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
302,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in land systems,widespread benefits for ecosystems,,,Adaptation measures in land systems,benefits for ecosystems,effective action in land systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
303,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in land systems,widespread benefits for biodiversity,,,Adaptation measures in land systems,benefits for biodiversity,effective action in land systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
304,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in ocean systems,widespread benefits for food security,,,Adaptation measures in ocean systems,benefits for food security,effective action in ocean systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
305,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in ocean systems,widespread benefits for nutrition,,,Adaptation measures in ocean systems,benefits for nutrition,effective action in ocean systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
306,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in ocean systems,widespread benefits for health,,,Adaptation measures in ocean systems,benefits for health,effective action in ocean systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
307,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in ocean systems,widespread benefits for well-being,,,Adaptation measures in ocean systems,benefits for well-being,effective action in ocean systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
308,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in ocean systems,widespread benefits for ecosystems,,,Adaptation measures in ocean systems,benefits for ecosystems,effective action in ocean systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
309,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in ocean systems,widespread benefits for biodiversity,,,Adaptation measures in ocean systems,benefits for biodiversity,effective action in ocean systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
310,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in ecosystems,widespread benefits for food security,,,Adaptation measures in ecosystems,benefits for food security,effective action in ecosystems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
311,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in ecosystems,widespread benefits for nutrition,,,Adaptation measures in ecosystems,benefits for nutrition,effective action in ecosystems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
312,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in ecosystems,widespread benefits for health,,,Adaptation measures in ecosystems,benefits for health,effective action in ecosystems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
313,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in ecosystems,widespread benefits for well-being,,,Adaptation measures in ecosystems,benefits for well-being,effective action in ecosystems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
314,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in ecosystems,widespread benefits for ecosystems,,,Adaptation measures in ecosystems,benefits for ecosystems,effective action in ecosystems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
315,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can have widespread benefits for,E,Positive,Positive_correlation,Adaptation measures in ecosystems,widespread benefits for biodiversity,,,Adaptation measures in ecosystems,benefits for biodiversity,effective action in ecosystems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
316,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can yield,E,Positive,Positive_correlation,urban policies that implement multiple interventions,adaptation gains with equity,,,urban policies that implement multiple interventions,adaptation gains with equity,effective action in urban systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
317,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can yield,E,Positive,Positive_correlation,urban policies that implement multiple interventions,mitigation gains with equity,,,urban policies that implement multiple interventions,mitigation gains with equity,effective action in urban systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
318,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can yield,E,Positive,Positive_correlation,urban policies that implement multiple interventions,adaptation gains with human well-being,,,urban policies that implement multiple interventions,adaptation gains with human well-being,effective action in urban systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
319,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can yield,E,Positive,Positive_correlation,urban policies that implement multiple interventions,mitigation gains with human well-being,,,urban policies that implement multiple interventions,mitigation gains with human well-being,effective action in urban systems,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
320,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can improve,E,Positive,Positive_correlation,integrated policy packages,improved ability to integrate considerations of equity,,,integrated policy packages,ability to integrate considerations of equity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
321,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can improve,E,Positive,Positive_correlation,integrated policy packages,improved ability to integrate considerations of gender equality,,,integrated policy packages,ability to integrate considerations of gender equality,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
322,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can improve,E,Positive,Positive_correlation,integrated policy packages,improved ability to integrate considerations of justice,,,integrated policy packages,ability to integrate considerations of justice,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
323,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can maximise,E,Positive,Positive_correlation,coordinated cross-sectoral policies, maximised synergies between mitigation and adaptation,,,coordinated cross-sectoral policies,synergies between mitigation and adaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
324,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,can maximise,E,Positive,Positive_correlation,coordinated cross-sectoral planning,maximised synergies between mitigation and adaptation,,,coordinated cross-sectoral planning,synergies between mitigation and adaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
325,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,avoid,E,Negative,Negative_correlation,coordinated cross-sectoral policies,trade-offs between mitigation and adaptation,,,coordinated cross-sectoral policies,trade-offs between mitigation and adaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
326,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,avoid,E,Negative,Negative_correlation,coordinated cross-sectoral planning,trade-offs between mitigation and adaptation,,,coordinated cross-sectoral planning,trade-offs between mitigation and adaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
327,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,reduce,E,Positive,Negative_correlation,coordinated cross-sectoral policies,reduced trade-offs between mitigation and adaptation,,,coordinated cross-sectoral policies,trade-offs between mitigation and adaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
328,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,reduce,E,Positive,Negative_correlation,coordinated cross-sectoral planning,reduced trade-offs between mitigation and adaptation,,,coordinated cross-sectoral planning,trade-offs between mitigation and adaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
329,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political commitment,effective action in all of the above areas,,,near-term political commitment,effective action in all of the above areas,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
330,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political follow-through,effective action in all of the above areas,,,near-term political follow-through,effective action in all of the above areas,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
331,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,social cooperation,effective action in all of the above areas,,,social cooperation,effective action in all of the above areas,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
332,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,finance,effective action in all of the above areas,,,finance,effective action in all of the above areas,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
333,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral policies,effective action in all of the above areas,,,integrated cross-sectoral policies,effective action in all of the above areas,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
334,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral support,effective action in all of the above areas,,,integrated cross-sectoral support,effective action in all of the above areas,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
335,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral actions,effective action in all of the above areas,,,integrated cross-sectoral actions,effective action in all of the above areas,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
336,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political commitment,effective action in land-use change,,,near-term political commitment,effective action in land-use change,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
337,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political follow-through,effective action in land-use change,,,near-term political follow-through,effective action in land-use change,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
338,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,social cooperation,effective action in land-use change,,,social cooperation,effective action in land-use change,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
339,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,finance,effective action in land-use change,,,finance,effective action in land-use change,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
340,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral policies,effective action in land-use change,,,integrated cross-sectoral policies,effective action in land-use change,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
341,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral support,effective action in land-use change,,,integrated cross-sectoral support,effective action in land-use change,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
342,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral actions,effective action in land-use change,,,integrated cross-sectoral actions,effective action in land-use change,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
343,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political commitment,effective action in forestry,,,near-term political commitment,effective action in forestry,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
344,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political follow-through,effective action in forestry,,,near-term political follow-through,effective action in forestry,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
345,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,social cooperation,effective action in forestry,,,social cooperation,effective action in forestry,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
346,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,finance,effective action in forestry,,,finance,effective action in forestry,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
347,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral actions,effective action in forestry,,,integrated cross-sectoral actions,effective action in forestry,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
348,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral policies,effective action in forestry,,,integrated cross-sectoral policies,effective action in forestry,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
349,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral support,effective action in forestry,,,integrated cross-sectoral support,effective action in forestry,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
350,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political commitment,effective action in land systems,,,near-term political commitment,effective action in land systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
351,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political follow-through,effective action in land systems,,,near-term political follow-through,effective action in land systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
352,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,social cooperation,effective action in land systems,,,social cooperation,effective action in land systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
353,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,finance,effective action in land systems,,,finance,effective action in land systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
354,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral actions,effective action in land systems,,,integrated cross-sectoral actions,effective action in land systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
355,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral policies,effective action in land systems,,,integrated cross-sectoral policies,effective action in land systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
356,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral support,effective action in land systems,,,integrated cross-sectoral support,effective action in land systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
357,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political commitment,effective action in ocean systems,,,near-term political commitment,effective action in ocean systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
358,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political follow-through,effective action in ocean systems,,,near-term political follow-through,effective action in ocean systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
359,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,social cooperation,effective action in ocean systems,,,social cooperation,effective action in ocean systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
360,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,finance,effective action in ocean systems,,,finance,effective action in ocean systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
361,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral actions,effective action in ocean systems,,,integrated cross-sectoral actions,effective action in ocean systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
362,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral policies,effective action in ocean systems,,,integrated cross-sectoral policies,effective action in ocean systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
363,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral support,effective action in ocean systems,,,integrated cross-sectoral support,effective action in ocean systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
364,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political commitment,effective action in ecosystems,,,near-term political commitment,effective action in ecosystems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
365,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political follow-through,effective action in ecosystems,,,near-term political follow-through,effective action in ecosystems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
366,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,social cooperation,effective action in ecosystems,,,social cooperation,effective action in ecosystems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
367,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,finance,effective action in ecosystems,,,finance,effective action in ecosystems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
368,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral actions,effective action in ecosystems,,,integrated cross-sectoral actions,effective action in ecosystems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
369,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral policies,effective action in ecosystems,,,integrated cross-sectoral policies,effective action in ecosystems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
370,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral support,effective action in ecosystems,,,integrated cross-sectoral support,effective action in ecosystems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
371,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political commitment,effective action in urban systems,,,near-term political commitment,effective action in urban systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
372,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,near-term political follow-through,effective action in urban systems,,,near-term political follow-through,effective action in urban systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
373,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,social cooperation,effective action in urban systems,,,social cooperation,effective action in urban systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
374,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,finance,effective action in urban systems,,,finance,effective action in urban systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
375,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral actions,effective action in urban systems,,,integrated cross-sectoral actions,effective action in urban systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
376,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral policies,effective action in urban systems,,,integrated cross-sectoral policies,effective action in urban systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
377,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-53ef5a99-4c36-9820-bc8f-3d72391162fa,4.9 Integration of Near-Term Actions Across Sectors and Systems ,4.9.d,2.0,"The range of such positive interactions is significant in the landscape of near-term climate policies across regions, sectors and systems. For example, AFOLU mitigation actions in land-use change and forestry, when sustainably implemented, can provide large-scale GHG emission reductions and removals that simultaneously benefit biodiversity, food security, wood supply and other ecosystem services but cannot fully compensate for delayed mitigation action in other sectors. Adaptation measures in land, ocean and ecosystems similarly can have widespread benefits for food security, nutrition, health and well-being, ecosystems and biodiversity. Equally, urban systems are critical, interconnected sites for climate resilient development; urban policies that implement multiple interventions can yield adaptation or mitigation gains with equity and human well-being. Integrated policy packages can improve the ability to integrate considerations of equity, gender equality and justice. Coordinated cross-sectoral policies and planning can maximise synergies and avoid or reduce trade-offs between mitigation and adaptation. Effective action in all of the above areas will require near-term political commitment and follow-through, social cooperation, finance, and more integrated cross-sectoral policies and support and actions.",Yes,will require,I,Positive,Positive_correlation,more integrated cross-sectoral support,effective action in urban systems,,,integrated cross-sectoral support,effective action in urban systems,,effective action in all of the above areas,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
378,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-49a21338-47c7-476a-70b9-7ad2e9a709fe,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,1.0,"Soft and hard adaptation limits have already been reached in some sectors and regions, in spite of adaptation having buffered some climate impacts.",No,,,,,,,,,,,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
379,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,financial constraints,soft limits reached by individuals,,in low lying coastal areas in Australasia,financial constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
380,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,governance constraints,soft limits reached by individuals,,in low lying coastal areas in Australasia,governance constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
381,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,institutional constraints,soft limits reached by individuals,,in low lying coastal areas in Australasia,institutional constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
382,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,policy constraints,soft limits reached by individuals,,in low lying coastal areas in Australasia,policy constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
383,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,financial constraints,soft limits reached by households,,in low lying coastal areas in Australasia,financial constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
384,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,governance constraints,soft limits reached by households,,in low lying coastal areas in Australasia,governance constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
385,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,institutional constraints,soft limits reached by households,,in low lying coastal areas in Australasia,institutional constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
386,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,policy constraints,soft limits reached by households,,in low lying coastal areas in Australasia,policy constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
387,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,financial constraints,soft limits reached by individuals,,in low lying coastal areas in Small Islands,financial constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
388,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,governance constraints,soft limits reached by individuals,,in low lying coastal areas in Small Islands,governance constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
389,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,institutional constraints,soft limits reached by individuals,,in low lying coastal areas in Small Islands,institutional constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
390,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,policy constraints,soft limits reached by individuals,,in low lying coastal areas in Small Islands,policy constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
391,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,financial constraints,soft limits reached by households,,in low lying coastal areas in Small Islands,financial constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
392,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,governance constraints,soft limits reached by households,,in low lying coastal areas in Small Islands,governance constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
393,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,institutional constraints,soft limits reached by households,,in low lying coastal areas in Small Islands,institutional constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
394,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,policy constraints,soft limits reached by households,,in low lying coastal areas in Small Islands,policy constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
395,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,financial constraints,soft limits reached by smallholder farmers,,in Central America,financial constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
396,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,governance constraints,soft limits reached by smallholder farmers,,in Central America,governance constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
397,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,institutional constraints,soft limits reached by smallholder farmers,,in Central America,institutional constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
398,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,policy constraints,soft limits reached by smallholder farmers,,in Central America,policy constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
399,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,financial constraints,soft limits reached by smallholder farmers,,in South America,financial constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
400,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,governance constraints,soft limits reached by smallholder farmers,,in South America,governance constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
401,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,institutional constraints,soft limits reached by smallholder farmers,,in South America,institutional constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
402,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,policy constraints,soft limits reached by smallholder farmers,,in South America,policy constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
403,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,financial constraints,soft limits reached by smallholder farmers,,in Africa,financial constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
404,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,governance constraints,soft limits reached by smallholder farmers,,in Africa,governance constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
405,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,institutional constraints,soft limits reached by smallholder farmers,,in Africa,institutional constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
406,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,policy constraints,soft limits reached by smallholder farmers,,in Africa,policy constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
407,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,financial constraints,soft limits reached by smallholder farmers,,in Europe,financial constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
408,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,governance constraints,soft limits reached by smallholder farmers,,in Europe,governance constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
409,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,institutional constraints,soft limits reached by smallholder farmers,,in Europe,institutional constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
410,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,policy constraints,soft limits reached by smallholder farmers,,in Europe,policy constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
411,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,financial constraints,soft limits reached by smallholder farmers,,in Asia,financial constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
412,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,governance constraints,soft limits reached by smallholder farmers,,in Asia,governance constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
413,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,institutional constraints,soft limits reached by smallholder farmers,,in Asia,institutional constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
414,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,resulting from,E,Positive,Positive_correlation,policy constraints,soft limits reached by smallholder farmers,,in Asia,policy constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
415,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Positive_correlation,addressed financial constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Australasia,financial constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
416,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed governance constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Australasia,addressed governance constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
417,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed institutional constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Australasia,addressed institutional constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
418,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed policy constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Australasia,addressed policy constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
419,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed financial constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Small Islands,addressed financial constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
420,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed governance constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Small Islands,addressed governance constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
421,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed institutional constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Small Islands,addressed institutional constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
422,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed policy constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Small Islands,addressed policy constraints,soft limits reached by individuals,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
423,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed financial constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Australasia,addressed financial constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
424,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed governance constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Australasia,addressed governance constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
425,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed institutional constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Australasia,addressed institutional constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
426,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed policy constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Australasia,addressed policy constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
427,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed financial constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Small Islands,addressed financial constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
428,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed governance constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Small Islands,addressed governance constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
429,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed institutional constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Small Islands,addressed institutional constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
430,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed policy constraints,overcoming of soft limits reached by individuals,,in low lying coastal areas in Small Islands,addressed policy constraints,soft limits reached by households,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
431,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed financial constraints,overcoming of soft limits reached by individuals,,in Central America,addressed financial constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
432,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed governance constraints,overcoming of soft limits reached by individuals,,in Central America,addressed governance constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
433,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed institutional constraints,overcoming of soft limits reached by individuals,,in Central America,addressed institutional constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
434,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed policy constraints,overcoming of soft limits reached by individuals,,in Central America,addressed policy constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
435,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed financial constraints,overcoming of soft limits reached by individuals,,in South America,addressed financial constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
436,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed governance constraints,overcoming of soft limits reached by individuals,,in South America,addressed governance constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
437,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed institutional constraints,overcoming of soft limits reached by individuals,,in South America,addressed institutional constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
438,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed policy constraints,overcoming of soft limits reached by individuals,,in South America,addressed policy constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
439,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed financial constraints,overcoming of soft limits reached by individuals,,in Africa,addressed financial constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
440,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed governance constraints,overcoming of soft limits reached by individuals,,in Africa,addressed governance constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
441,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed institutional constraints,overcoming of soft limits reached by individuals,,in Africa,addressed institutional constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
442,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed policy constraints,overcoming of soft limits reached by individuals,,in Africa,addressed policy constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
443,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed financial constraints,overcoming of soft limits reached by individuals,,in Europe,addressed financial constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
444,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed governance constraints,overcoming of soft limits reached by individuals,,in Europe,addressed governance constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
445,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed institutional constraints,overcoming of soft limits reached by individuals,,in Europe,addressed institutional constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
446,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed policy constraints,overcoming of soft limits reached by individuals,,in Europe,addressed policy constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
447,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed financial constraints,overcoming of soft limits reached by individuals,,in Asia,addressed financial constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
448,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed governance constraints,overcoming of soft limits reached by individuals,,in Asia,addressed governance constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
449,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed institutional constraints,overcoming of soft limits reached by individuals,,in Asia,addressed institutional constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
450,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-9657ba0f-4bd7-61de-1ef0-cd5c2f5621ad,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,3.0,"Individuals and households in low lying coastal areas in Australasia and Small Islands and smallholder farmers in Central and South America, Africa, Europe and Asia have reached soft limits (medium confidence), resulting from financial, governance, institutional and policy constraints and can be overcome by addressing these constraints (high confidence).",Yes,can be overcome by,E,Positive,Negative_correlation,addressed policy constraints,overcoming of soft limits reached by individuals,,in Asia,addressed policy constraints,soft limits reached by smallholder farmers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
451,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-cf6ec971-4c8c-2063-6f1b-c46e1fe97cc5,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,2.0,"Ecosystems already reaching hard adaptation limits include some warm water coral reefs, some coastal wetlands, some rainforests, and some polar and mountain ecosystems.",No,,,,,,,,,,,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
452,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q140-86baae1a-4fff-ea46-2d5d-4c8c325bd651,2.3.2 Adaptation Gaps and Barriers ,2.3.2.b,4.0,Transitioning from incremental to transformational adaptation can help overcome soft adaptation limits.,Yes,can help overcome,E,Positive,Negative_correlation,transition from incremental to transformational adaptation,overcoming of soft adaptation limits,,,transition from incremental to transformational adaptation,soft adaptation limits,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
453,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff5,3.1.1 Long-term Climate Change ,3.1.1.f,1.0,Changes in short-lived climate forcers (SLCF) resulting from the five considered scenarios lead to an additional net global warming in the near and long term.,Yes,resulting from,E,Positive,Positive_correlation,the five considered scenarios,changes in short-lived climate forcers,,,the five considered scenarios,changes in short-lived climate forcers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
454,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff5,3.1.1 Long-term Climate Change ,3.1.1.f,1.0,Changes in short-lived climate forcers (SLCF) resulting from the five considered scenarios lead to an additional net global warming in the near and long term.,Yes,resulting from,I,Positive,Positive_correlation,very low greenhouse gases emissions,changes in short-lived climate forcers,,,very low greenhouse gases emissions,changes in short-lived climate forcers,the five considered scenarios,,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
455,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff5,3.1.1 Long-term Climate Change ,3.1.1.f,1.0,Changes in short-lived climate forcers (SLCF) resulting from the five considered scenarios lead to an additional net global warming in the near and long term.,Yes,resulting from,I,Positive,Positive_correlation,low greenhouse gases emissions,changes in short-lived climate forcers,,,low greenhouse gases emissions,changes in short-lived climate forcers,the five considered scenarios,,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
456,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff5,3.1.1 Long-term Climate Change ,3.1.1.f,1.0,Changes in short-lived climate forcers (SLCF) resulting from the five considered scenarios lead to an additional net global warming in the near and long term.,Yes,resulting from,I,Positive,Positive_correlation,intermediate greenhouse gases emissions,changes in short-lived climate forcers,,,intermediate greenhouse gases emissions,changes in short-lived climate forcers,the five considered scenarios,,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
457,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff5,3.1.1 Long-term Climate Change ,3.1.1.f,1.0,Changes in short-lived climate forcers (SLCF) resulting from the five considered scenarios lead to an additional net global warming in the near and long term.,Yes,resulting from,I,Positive,Positive_correlation,high greenhouse gases emissions,changes in short-lived climate forcers,,,high greenhouse gases emissions,changes in short-lived climate forcers,the five considered scenarios,,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
458,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff5,3.1.1 Long-term Climate Change ,3.1.1.f,1.0,Changes in short-lived climate forcers (SLCF) resulting from the five considered scenarios lead to an additional net global warming in the near and long term.,Yes,resulting from,I,Positive,Positive_correlation,very high greenhouse gases emissions,changes in short-lived climate forcers,,,very high greenhouse gases emissions,changes in short-lived climate forcers,the five considered scenarios,,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
459,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff5,3.1.1 Long-term Climate Change ,3.1.1.f,1.0,Changes in short-lived climate forcers (SLCF) resulting from the five considered scenarios lead to an additional net global warming in the near and long term.,Yes,lead to,E,Positive,Positive_correlation,changes in short-lived climate forcers,additional net global warming,,in the near and long term,changes in short-lived climate forcers,net global warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
460,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-59222ad4-416c-e8d1-8538-5c14cd496239,3.1.1 Long-term Climate Change ,3.1.1.f,2.0,Simultaneous stringent climate change mitigation and air pollution control policies limit this additional warming and lead to strong benefits for air quality.,Yes,limit,E,Positive,Negative_correlation,stringent climate change mitigation,limitation of additional warming,,,stringent climate change mitigation,additional warming,simultaneous stringent climate change mitigation and air pollution control policies,,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
461,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-59222ad4-416c-e8d1-8538-5c14cd496239,3.1.1 Long-term Climate Change ,3.1.1.f,2.0,Simultaneous stringent climate change mitigation and air pollution control policies limit this additional warming and lead to strong benefits for air quality.,Yes,limit,E,Positive,Negative_correlation,stringent air pollution control policies,limitation of additional warming,,,stringent air pollution control policies,additional warming,simultaneous stringent climate change mitigation and air pollution control policies,,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
462,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-59222ad4-416c-e8d1-8538-5c14cd496239,3.1.1 Long-term Climate Change ,3.1.1.f,2.0,Simultaneous stringent climate change mitigation and air pollution control policies limit this additional warming and lead to strong benefits for air quality.,Yes,limit,E,Positive,Negative_correlation,simultaneous stringent climate change mitigation and air pollution control policies,limitation of additional warming,,,simultaneous stringent climate change mitigation and air pollution control policies,additional warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
463,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-59222ad4-416c-e8d1-8538-5c14cd496239,3.1.1 Long-term Climate Change ,3.1.1.f,2.0,Simultaneous stringent climate change mitigation and air pollution control policies limit this additional warming and lead to strong benefits for air quality.,Yes,lead to,E,Positive,Positive_correlation,stringent climate change mitigation,strong benefits for air quality,,,stringent climate change mitigation,benefits for air quality,simultaneous stringent climate change mitigation and air pollution control policies,,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
464,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-59222ad4-416c-e8d1-8538-5c14cd496239,3.1.1 Long-term Climate Change ,3.1.1.f,2.0,Simultaneous stringent climate change mitigation and air pollution control policies limit this additional warming and lead to strong benefits for air quality.,Yes,lead to,E,Positive,Positive_correlation,stringent air pollution control policies,strong benefits for air quality,,,stringent air pollution control policies,benefits for air quality,simultaneous stringent climate change mitigation and air pollution control policies,,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
465,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-59222ad4-416c-e8d1-8538-5c14cd496239,3.1.1 Long-term Climate Change ,3.1.1.f,2.0,Simultaneous stringent climate change mitigation and air pollution control policies limit this additional warming and lead to strong benefits for air quality.,Yes,lead to,E,Positive,Positive_correlation,simultaneous stringent climate change mitigation and air pollution control policies,strong benefits for air quality,,,simultaneous stringent climate change mitigation and air pollution control policies,benefits for air quality,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
466,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-59222ad4-416c-e8d1-8538-5c14cd496239,3.1.1 Long-term Climate Change ,3.1.1.f,4.0,"Altogether, this causes a likely net warming of 0.0°C–0.3°C due to SLCF changes in 2100 relative to 2019 and strong reductions in global surface ozone and particulate matter.",Yes,due to,E,Positive,Positive_correlation,changes in short-lived climate forcers,a likely net warming of 0.0°C–0.3°C,in 2100 relative to 2019,,changes in short-lived climate forcers,net warming,,,SLCF = Short-Lived Climate Forcers,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
467,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-59222ad4-416c-e8d1-8538-5c14cd496239,3.1.1 Long-term Climate Change ,3.1.1.f,4.0,"Altogether, this causes a likely net warming of 0.0°C–0.3°C due to SLCF changes in 2100 relative to 2019 and strong reductions in global surface ozone and particulate matter.",Yes,due to,E,Positive,Negative_correlation,strong reductions in global surface ozone,a likely net warming of 0.0°C–0.3°C,,,global surface ozone,net warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
468,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-59222ad4-416c-e8d1-8538-5c14cd496239,3.1.1 Long-term Climate Change ,3.1.1.f,4.0,"Altogether, this causes a likely net warming of 0.0°C–0.3°C due to SLCF changes in 2100 relative to 2019 and strong reductions in global surface ozone and particulate matter.",Yes,due to,E,Positive,Negative_correlation,strong reductions in particulate matter,a likely net warming of 0.0°C–0.3°C,,,particulate matter,net warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
469,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q241-9acd53e9-4c97-c7be-aa88-7cd85a3a3eb0,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,continued increase in losses,,,rapid mitigation actions,losses,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
470,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,continued increase in damages,,,rapid mitigation actions,damages,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
471,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,continued increase in losses,,,deep mitigation actions,losses,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
472,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,continued increase in damages,,,deep mitigation actions,damages,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
473,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,continued increase in losses,,,sustained mitigation actions,losses,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
474,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,continued increase in damages,,,sustained mitigation actions,damages,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
475,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,continued increase in losses,,,accelerated adaptation actions,losses,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
476,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,continued increase in damages,,,accelerated adaptation actions,damages,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
477,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will affect,E,Positive,Positive_correlation,continued increase in damages,disproportionate effect on the most vulnerable populations,,,damages,disproportionate effect on the most vulnerable populations,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
478,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will affect,E,Positive,Positive_correlation,continued increase in losses,disproportionate effect on the most vulnerable populations,,,losses,disproportionate effect on the most vulnerable populations,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
479,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in Africa,rapid mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
480,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in Africa,rapid mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
481,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in Least Developed Countries,rapid mitigation actions,adverse impacts,,continued increase in losses,LDC = Least Developed Countries,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
482,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in Least Developed Countries,rapid mitigation actions,adverse impacts,,continued increase in damages,LDC = Least Developed Countries,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
483,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in Small Island Developing States,rapid mitigation actions,adverse impacts,,continued increase in losses,SIDS = Small Island Developing States,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
484,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in Small Island Developing States,rapid mitigation actions,adverse impacts,,continued increase in damages,SIDS = Small Island Developing States,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
485,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in Central America,rapid mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
486,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in Central America,rapid mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
487,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in South America,rapid mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
488,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in South America,rapid mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
489,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in Asia,rapid mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
490,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in Asia,rapid mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
491,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in the Arctic,rapid mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
492,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of rapid mitigation actions,adverse impacts,,in the Arctic,rapid mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
493,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in Africa,deep mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
494,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in Africa,deep mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
495,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in Least Developed Countries,deep mitigation actions,adverse impacts,,continued increase in losses,LDC = Least Developed Countries,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
496,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in Least Developed Countries,deep mitigation actions,adverse impacts,,continued increase in damages,LDC = Least Developed Countries,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
497,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in Small Island Developing States,deep mitigation actions,adverse impacts,,continued increase in losses,SIDS = Small Island Developing States,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
498,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in Small Island Developing States,deep mitigation actions,adverse impacts,,continued increase in damages,SIDS = Small Island Developing States,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
499,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in Central America,deep mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
500,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in Central America,deep mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
501,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in South America,deep mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
502,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in South America,deep mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
503,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in Asia,deep mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
504,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in Asia,deep mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
505,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in the Arctic,deep mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
506,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of deep mitigation actions,adverse impacts,,in the Arctic,deep mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
507,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in Africa,sustained mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
508,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in Africa,sustained mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
509,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in Least Developed Countries,sustained mitigation actions,adverse impacts,,continued increase in losses,LDC = Least Developed Countries,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
510,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in Least Developed Countries,sustained mitigation actions,adverse impacts,,continued increase in damages,LDC = Least Developed Countries,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
511,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in Small Island Developing States,sustained mitigation actions,adverse impacts,,continued increase in losses,SIDS = Small Island Developing States,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
512,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in Small Island Developing States,sustained mitigation actions,adverse impacts,,continued increase in damages,SIDS = Small Island Developing States,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
513,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in Central America,sustained mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
514,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in Central America,sustained mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
515,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in South America,sustained mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
516,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in South America,sustained mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
517,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in Asia,sustained mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
518,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in Asia,sustained mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
519,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in the Arctic,sustained mitigation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
520,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of sustained mitigation actions,adverse impacts,,in the Arctic,sustained mitigation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
521,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in Africa,accelerated adaptation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
522,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in Africa,accelerated adaptation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
523,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in Least Developed Countries,accelerated adaptation actions,adverse impacts,,continued increase in losses,LDC = Least Developed Countries,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
524,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in Least Developed Countries,accelerated adaptation actions,adverse impacts,,continued increase in damages,LDC = Least Developed Countries,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
525,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in Small Island Developing States,accelerated adaptation actions,adverse impacts,,continued increase in losses,SIDS = Small Island Developing States,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
526,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in Small Island Developing States,accelerated adaptation actions,adverse impacts,,continued increase in damages,SIDS = Small Island Developing States,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
527,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in Central America,accelerated adaptation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
528,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in Central America,accelerated adaptation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
529,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in South America,accelerated adaptation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
530,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in South America,accelerated adaptation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
531,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in Asia,accelerated adaptation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
532,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in Asia,accelerated adaptation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
533,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in the Arctic,accelerated adaptation actions,adverse impacts,,continued increase in losses,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
534,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-d2604d8e-4f27-88f5-e023-13715c9af6b1,4.1 The Timing and Urgency of Climate Action ,4.1.f,1.0,"Without rapid, deep and sustained mitigation and accelerated adaptation actions, losses and damages will continue to increase, including projected adverse impacts in Africa, LDCs, SIDS, Central and South America, Asia and the Arctic, and will disproportionately affect the most vulnerable populations.",Yes,will continue to increase,E,Positive,Negative_correlation,Absence of accelerated adaptation actions,adverse impacts,,in the Arctic,accelerated adaptation actions,adverse impacts,,continued increase in damages,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
535,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-c2652916-4be9-0cf8-0e98-603d551c3779,2.1.1 Observed Warming and its Causes,2.1.1.h,1.0,Net GHG emissions have increased since 2010 across all major sectors.,No,,,,,,,,,,,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
536,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-3b268d4b-4581-de4c-5056-4b8a9a07d64e,2.1.1 Observed Warming and its Causes,2.1.1.h,2.0,"In 2019, approximately 34% (20 GtCO2-eq) of net global GHG emissions came from the energy sector, 24% (14 GtCO2- eq) from industry, 22% (13 GtCO2-eq) from AFOLU, 15% (8.7 GtCO2-eq) from transport and 6% (3.3 GtCO2- eq) from buildings.",Yes,came from,E,Positive,Positive_correlation,the energy sector,net global greenhouse gases emissions,,,the energy sector,global greenhouse gases emissions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
537,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-3b268d4b-4581-de4c-5056-4b8a9a07d64e,2.1.1 Observed Warming and its Causes,2.1.1.h,2.0,"In 2019, approximately 34% (20 GtCO2-eq) of net global GHG emissions came from the energy sector, 24% (14 GtCO2- eq) from industry, 22% (13 GtCO2-eq) from AFOLU, 15% (8.7 GtCO2-eq) from transport and 6% (3.3 GtCO2- eq) from buildings.",Yes,came from,E,Positive,Positive_correlation,industry,net global greenhouse gases emissions,,,industry,global greenhouse gases emissions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
538,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-3b268d4b-4581-de4c-5056-4b8a9a07d64e,2.1.1 Observed Warming and its Causes,2.1.1.h,2.0,"In 2019, approximately 34% (20 GtCO2-eq) of net global GHG emissions came from the energy sector, 24% (14 GtCO2- eq) from industry, 22% (13 GtCO2-eq) from AFOLU, 15% (8.7 GtCO2-eq) from transport and 6% (3.3 GtCO2- eq) from buildings.",Yes,came from,E,Positive,Positive_correlation,"Agriculture, Forestry, and Other Land Use",net global greenhouse gases emissions,,,"Agriculture, Forestry, and Other Land Use",global greenhouse gases emissions,,,"AFOLU = Agriculture, Forestry, and Other Land Use",,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
539,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-3b268d4b-4581-de4c-5056-4b8a9a07d64e,2.1.1 Observed Warming and its Causes,2.1.1.h,2.0,"In 2019, approximately 34% (20 GtCO2-eq) of net global GHG emissions came from the energy sector, 24% (14 GtCO2- eq) from industry, 22% (13 GtCO2-eq) from AFOLU, 15% (8.7 GtCO2-eq) from transport and 6% (3.3 GtCO2- eq) from buildings.",Yes,came from,E,Positive,Positive_correlation,agriculture,net global greenhouse gases emissions,,,agriculture,global greenhouse gases emissions,"Agriculture, Forestry, and Other Land Use",,"AFOLU = Agriculture, Forestry, and Other Land Use",No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
540,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-3b268d4b-4581-de4c-5056-4b8a9a07d64e,2.1.1 Observed Warming and its Causes,2.1.1.h,2.0,"In 2019, approximately 34% (20 GtCO2-eq) of net global GHG emissions came from the energy sector, 24% (14 GtCO2- eq) from industry, 22% (13 GtCO2-eq) from AFOLU, 15% (8.7 GtCO2-eq) from transport and 6% (3.3 GtCO2- eq) from buildings.",Yes,came from,E,Positive,Positive_correlation,forestry,net global greenhouse gases emissions,,,forestry,global greenhouse gases emissions,"Agriculture, Forestry, and Other Land Use",,"AFOLU = Agriculture, Forestry, and Other Land Use",No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
541,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-3b268d4b-4581-de4c-5056-4b8a9a07d64e,2.1.1 Observed Warming and its Causes,2.1.1.h,2.0,"In 2019, approximately 34% (20 GtCO2-eq) of net global GHG emissions came from the energy sector, 24% (14 GtCO2- eq) from industry, 22% (13 GtCO2-eq) from AFOLU, 15% (8.7 GtCO2-eq) from transport and 6% (3.3 GtCO2- eq) from buildings.",Yes,came from,E,Positive,Positive_correlation,other land use,net global greenhouse gases emissions,,,other land use,global greenhouse gases emissions,"Agriculture, Forestry, and Other Land Use",,"AFOLU = Agriculture, Forestry, and Other Land Use",No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
542,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-3b268d4b-4581-de4c-5056-4b8a9a07d64e,2.1.1 Observed Warming and its Causes,2.1.1.h,2.0,"In 2019, approximately 34% (20 GtCO2-eq) of net global GHG emissions came from the energy sector, 24% (14 GtCO2- eq) from industry, 22% (13 GtCO2-eq) from AFOLU, 15% (8.7 GtCO2-eq) from transport and 6% (3.3 GtCO2- eq) from buildings.",Yes,came from,E,Positive,Positive_correlation,transport,net global greenhouse gases emissions,,,transport,global greenhouse gases emissions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
543,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-3b268d4b-4581-de4c-5056-4b8a9a07d64e,2.1.1 Observed Warming and its Causes,2.1.1.h,2.0,"In 2019, approximately 34% (20 GtCO2-eq) of net global GHG emissions came from the energy sector, 24% (14 GtCO2- eq) from industry, 22% (13 GtCO2-eq) from AFOLU, 15% (8.7 GtCO2-eq) from transport and 6% (3.3 GtCO2- eq) from buildings.",Yes,came from,E,Positive,Positive_correlation,buildings,net global greenhouse gases emissions,,,buildings,global greenhouse gases emissions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
544,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-0aa21b72-4298-b0b1-be04-349a97aa23c3,2.1.1 Observed Warming and its Causes,2.1.1.h,3.0,Average annual GHG emissions growth between 2010 and 2019 slowed compared to the previous decade in energy supply (from 2.3% to 1.0%) and industry (from 3.4% to 1.4%) but remained roughly constant at about 2% yr–1in the transport sector.,Yes,emissions,I,Positive,Positive_correlation,energy supply,greenhouse gases emissions,,,energy supply,greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
545,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-0aa21b72-4298-b0b1-be04-349a97aa23c2,2.1.1 Observed Warming and its Causes,2.1.1.h,3.0,Average annual GHG emissions growth between 2010 and 2019 slowed compared to the previous decade in energy supply (from 2.3% to 1.0%) and industry (from 3.4% to 1.4%) but remained roughly constant at about 2% yr–1in the transport sector.,Yes,emissions,I,Positive,Positive_correlation,industry,greenhouse gases emissions,,,industry,greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
546,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-0aa21b72-4298-b0b1-be04-349a97aa23c1,2.1.1 Observed Warming and its Causes,2.1.1.h,3.0,Average annual GHG emissions growth between 2010 and 2019 slowed compared to the previous decade in energy supply (from 2.3% to 1.0%) and industry (from 3.4% to 1.4%) but remained roughly constant at about 2% yr–1in the transport sector.,Yes,emissions,I,Positive,Positive_correlation,the transport sector,greenhouse gases emissions,,,the transport sector,greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
547,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-7e11fb15-4871-5d56-54a5-0718998a3936,2.1.1 Observed Warming and its Causes,2.1.1.h,4.0,"About half of total net AFOLU emissions are from CO2 LULUCF, predominantly from deforestation.",Yes,AFOLU,I,Positive,Positive_correlation,"Agriculture, Forestry, and Other Land Use",emissions,,,"Agriculture, Forestry, and Other Land Use",emissions,,"emissions from agriculture, forestry and other land use",,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,Yes
548,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-7e11fb15-4871-5d56-54a5-0718998a3936,2.1.1 Observed Warming and its Causes,2.1.1.h,4.0,"About half of total net AFOLU emissions are from CO2 LULUCF, predominantly from deforestation.",Yes,AFOLU,I,Positive,Positive_correlation,agriculture,emissions,,,agriculture,emissions,"Agriculture, Forestry, and Other Land Use","emissions from agriculture, forestry and other land use",,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,Yes
549,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-7e11fb15-4871-5d56-54a5-0718998a3937,2.1.1 Observed Warming and its Causes,2.1.1.h,4.0,"About half of total net AFOLU emissions are from CO2 LULUCF, predominantly from deforestation.",Yes,AFOLU,I,Positive,Positive_correlation,forestry,emissions,,,forestry,emissions,"Agriculture, Forestry, and Other Land Use","emissions from agriculture, forestry and other land use",,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,Yes
550,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-7e11fb15-4871-5d56-54a5-0718998a3938,2.1.1 Observed Warming and its Causes,2.1.1.h,4.0,"About half of total net AFOLU emissions are from CO2 LULUCF, predominantly from deforestation.",Yes,AFOLU,I,Positive,Positive_correlation,other land use,emissions,,,other land use,emissions,"Agriculture, Forestry, and Other Land Use","emissions from agriculture, forestry and other land use",,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,Yes
551,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-7e11fb15-4871-5d56-54a5-0718998a3939,2.1.1 Observed Warming and its Causes,2.1.1.h,4.0,"About half of total net AFOLU emissions are from CO2 LULUCF, predominantly from deforestation.",Yes,CO2 LULUCF,I,Positive,Positive_correlation,"Land Use, Land Use Change, and Forestry",carbon dioxide emissions,,,"Land Use, Land Use Change, and Forestry",carbon dioxide emissions,,"carbon dioxide emissions from land use, land-use change and forestry","CO2 LULUCF = Land Use, Land Use Change, and Forestry; CO2 = carbon dioxide",No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,Yes
552,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-7e11fb15-4871-5d56-54a5-0718998a3939,2.1.1 Observed Warming and its Causes,2.1.1.h,4.0,"About half of total net AFOLU emissions are from CO2 LULUCF, predominantly from deforestation.",Yes,CO2 LULUCF,I,Positive,Positive_correlation,land use,carbon dioxide emissions,,,land use,carbon dioxide emissions,"Land Use, Land Use Change, and Forestry","carbon dioxide emissions from land use, land-use change and forestry",CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,Yes
553,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-7e11fb15-4871-5d56-54a5-0718998a3940,2.1.1 Observed Warming and its Causes,2.1.1.h,4.0,"About half of total net AFOLU emissions are from CO2 LULUCF, predominantly from deforestation.",Yes,CO2 LULUCF,I,Positive,Positive_correlation,land-use change,carbon dioxide emissions,,,land-use change,carbon dioxide emissions,"Land Use, Land Use Change, and Forestry","carbon dioxide emissions from land use, land-use change and forestry",CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,Yes
554,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-7e11fb15-4871-5d56-54a5-0718998a3941,2.1.1 Observed Warming and its Causes,2.1.1.h,4.0,"About half of total net AFOLU emissions are from CO2 LULUCF, predominantly from deforestation.",Yes,CO2 LULUCF,I,Positive,Positive_correlation,forestry,carbon dioxide emissions,,,forestry,carbon dioxide emissions,"Land Use, Land Use Change, and Forestry","carbon dioxide emissions from land use, land-use change and forestry",CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,Yes
555,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-7e11fb15-4871-5d56-54a5-0718998a3942,2.1.1 Observed Warming and its Causes,2.1.1.h,4.0,"About half of total net AFOLU emissions are from CO2 LULUCF, predominantly from deforestation.",Yes,from,E,Positive,Positive_correlation,"carbon dioxide emissions from land use, land-use change and forestry","about half of total net emissions from agriculture, forestry and other land use",,,"carbon dioxide emissions from land use, land-use change and forestry","emissions from agriculture, forestry and other land use",,,"AFOLU = Agriculture, Forestry, and Other Land Use; CO2 = carbon dioxide",,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
556,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-7e11fb15-4871-5d56-54a5-0718998a3943,2.1.1 Observed Warming and its Causes,2.1.1.h,4.0,"About half of total net AFOLU emissions are from CO2 LULUCF, predominantly from deforestation.",Yes,from,E,Positive,Positive_correlation,deforestation,"about half of total net emissions from agriculture, forestry and other land use",predominantly,,deforestation,"emissions from agriculture, forestry and other land use","carbon dioxide emissions from land use, land-use change and forestry",,"AFOLU = Agriculture, Forestry, and Other Land Use",No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,No
557,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q104-7049280e-415a-f1a2-c527-3e0186cf4b85,2.1.1 Observed Warming and its Causes,2.1.1.h,5.0,Land overall constituted a net sink of –6.6 (±4.6) GtCO2 yr–1for the period 2010–2019.,Yes,constituted,I,Positive,Positive_correlation,land,net sink of -6.6 carbon dioxide,,for the period 2010–2019,land,net sink of -6.6 carbon dioxide,,,CO2 = carbon dioxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
558,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b20,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,caused,E,Positive,Positive_correlation,humans,climate change,,,Human activities,climate change,,human-caused climate change,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
559,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b19,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,is a consequence of,E,Positive,Positive_correlation,more than a century of net greenhouse gases emissions from energy use,human-caused climate change,,,net greenhouse gases emissions from energy use,human-caused climate change,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
560,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b19,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,energy use,greenhouse gases emissions,,,energy use,greenhouse gases emissions,,net greenhouse gases emissions from energy use,GHG = greenhouse gases,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
561,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b18,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,is a consequence of,E,Positive,Positive_correlation,more than a century of net greenhouse gases emissions from land-use,human-caused climate change,,,net greenhouse gases emissions from land-use,human-caused climate change,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
562,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b19,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,land-use,greenhouse gases emissions,,,land-use,greenhouse gases emissions,,net greenhouse gases emissions from land-use,GHG = greenhouse gases,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
563,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b17,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,is a consequence of,E,Positive,Positive_correlation,more than a century of net greenhouse gases emissions from land use change,human-caused climate change,,,net greenhouse gases emissions from land use change,human-caused climate change,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
564,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b19,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,land use change,greenhouse gases emissions,,,land use change,greenhouse gases emissions,,net greenhouse gases emissions from land use change,GHG = greenhouse gases,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
565,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b16,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,is a consequence of,E,Positive,Positive_correlation,more than a century of net greenhouse gases emissions from lifestyle,human-caused climate change,,,net greenhouse gases emissions from lifestyle,human-caused climate change,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
566,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b19,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,lifestyle,greenhouse gases emissions,,,lifestyle,greenhouse gases emissions,,net greenhouse gases emissions from lifestyle,GHG = greenhouse gases,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
567,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b15,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,is a consequence of,E,Positive,Positive_correlation,more than a century of net greenhouse gases emissions from patterns of consumption,human-caused climate change,,,net greenhouse gases emissions from patterns of consumption,human-caused climate change,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
568,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b19,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,patterns of consumption,greenhouse gases emissions,,,patterns of consumption,greenhouse gases emissions,,net greenhouse gases emissions from patterns of consumption,GHG = greenhouse gases,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
569,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b14,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,is a consequence of,E,Positive,Positive_correlation,more than a century of net greenhouse gases emissions from production,human-caused climate change,,,net greenhouse gases emissions from production,human-caused climate change,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
570,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b19,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,production,greenhouse gases emissions,,,production,greenhouse gases emissions,,net greenhouse gases emissions from production,GHG = greenhouse gases,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
571,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b13,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,CO2-FFI,I,Positive,Positive_correlation,fossil fuel combustion,carbon dioxide emissions,,,fossil fuel combustion,carbon dioxide emissions,,carbon dioxide emissions from fossil fuels and industrial processes,CO2 = carbon dioxide; CO2-FFI = carbon dioxide from fossil fuels and industrial processes,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
572,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b12,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,CO2-FFI,I,Positive,Positive_correlation,industrial processes,carbon dioxide emissions,,,industrial processes,carbon dioxide emissions,,carbon dioxide emissions from fossil fuels and industrial processes,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
573,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b11,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,due to,E,Positive,Positive_correlation,improvements in energy intensity of gross domestic product,reductions in carbon dioxide emissions from fossil fuels and industrial processes,,,improvements in energy intensity of gross domestic product,carbon dioxide emissions from fossil fuels and industrial processes,,,GDP = gross domestic product; CO2 = carbon dioxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
574,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b11,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,due to,E,Positive,Positive_correlation,improvements in energy intensity of gross domestic product,reductions in carbon dioxide emissions from fossil fuels,,,improvements in energy intensity of gross domestic product,carbon dioxide emissions from fossil fuels,,reductions in carbon dioxide emissions from fossil fuels and industrial processes,GDP = gross domestic product; CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
575,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b10,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,due to,E,Positive,Positive_correlation,improvements in energy intensity of gross domestic product,reductions in carbon dioxide emissions from industrial processes,,,improvements in energy intensity of gross domestic product,carbon dioxide emissions from industrial processes,,reductions in carbon dioxide emissions from fossil fuels and industrial processes,GDP = gross domestic product; CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
576,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b9,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,due to,E,Positive,Positive_correlation,improvements in carbon intensity of energy,reductions in carbon dioxide emissions from fossil fuels and industrial processes,,,improvements in carbon intensity of energy,carbon dioxide emissions from fossil fuels and industrial processes,,,CO2 = carbon dioxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
577,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b9,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,due to,E,Positive,Positive_correlation,improvements in carbon intensity of energy,reductions in carbon dioxide emissions from fossil fuels,,,improvements in carbon intensity of energy,carbon dioxide emissions from fossil fuels,,reductions in carbon dioxide emissions from fossil fuels and industrial processes,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
578,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b8,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,due to,E,Positive,Positive_correlation,improvements in carbon intensity of energy,reductions in carbon dioxide emissions from industrial processes,,,improvements in carbon intensity of energy,carbon dioxide emissions from industrial processes,,reductions in carbon dioxide emissions from fossil fuels and industrial processes,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
579,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b7,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in industry,increases in carbon dioxide emissions from fossil fuels and industrial processes,,,global activity levels in industry,carbon dioxide emissions from fossil fuels and industrial processes,,,CO2 = carbon dioxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
580,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b7,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in industry,increases in carbon dioxide emissions from fossil fuels,,,global activity levels in industry,carbon dioxide emissions from fossil fuels,,increases in carbon dioxide emissions from fossil fuels and industrial processes,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
581,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b7,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in industry,increases in carbon dioxide emissions from industrial processes,,,global activity levels in industry,carbon dioxide emissions from industrial processes,,increases in carbon dioxide emissions from fossil fuels and industrial processes,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
582,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b6,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in energy supply,increases in carbon dioxide emissions from fossil fuels and industrial processes,,,global activity levels in energy supply,carbon dioxide emissions from fossil fuels and industrial processes,,,CO2 = carbon dioxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
583,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b6,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in energy supply,increases in carbon dioxide emissions from fossil fuels,,,global activity levels in energy supply,carbon dioxide emissions from fossil fuels,,increases in carbon dioxide emissions from fossil fuels and industrial processes,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
584,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b6,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in energy supply,increases in carbon dioxide emissions from industrial processes,,,global activity levels in energy supply,carbon dioxide emissions from industrial processes,,increases in carbon dioxide emissions from fossil fuels and industrial processes,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
585,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b5,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in transport,increases in carbon dioxide emissions from fossil fuels and industrial processes,,,global activity levels in transport,carbon dioxide emissions from fossil fuels and industrial processes,,,CO2 = carbon dioxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
586,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b5,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in transport,increases in carbon dioxide emissions from fossil fuels,,,global activity levels in transport,carbon dioxide emissions from fossil fuels,,increases in carbon dioxide emissions from fossil fuels and industrial processes,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
587,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b5,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in transport,increases in carbon dioxide emissions from industrial processes,,,global activity levels in transport,carbon dioxide emissions from industrial processes,,increases in carbon dioxide emissions from fossil fuels and industrial processes,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
588,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b4,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in agriculture,increases in carbon dioxide emissions from fossil fuels and industrial processes,,,global activity levels in agriculture,carbon dioxide emissions from fossil fuels and industrial processes,,,CO2 = carbon dioxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
589,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b4,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in agriculture,increases in carbon dioxide emissions from fossil fuels,,,global activity levels in agriculture,carbon dioxide emissions from fossil fuels,,increases in carbon dioxide emissions from fossil fuels and industrial processes,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
590,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b4,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in agriculture,increases in carbon dioxide emissions from industrial processes,,,global activity levels in agriculture,carbon dioxide emissions from industrial processes,,increases in carbon dioxide emissions from fossil fuels and industrial processes,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
591,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b3,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in buildings,increases in carbon dioxide emissions from fossil fuels and industrial processes,,,global activity levels in buildings,carbon dioxide emissions from fossil fuels and industrial processes,,,CO2 = carbon dioxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
592,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b3,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in buildings,increases in carbon dioxide emissions from fossil fuels,,,global activity levels in buildings,carbon dioxide emissions from fossil fuels,,,CO2 = carbon dioxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
593,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b3,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,from,E,Positive,Positive_correlation,rising global activity levels in buildings,increases in carbon dioxide emissions from industrial processes,,,global activity levels in buildings,carbon dioxide emissions from industrial processes,,,CO2 = carbon dioxide,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
594,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b2,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,contribute,E,Positive,Positive_correlation,the 10% of households with the highest per capita emissions,34–45% of global consumption-based household greenhouse gases emissions,,,share of households with the highest per capita emissions,global consumption-based household greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
595,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b1,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,contribute,E,Positive,Positive_correlation,the middle 40% of households with the highest per capita emissions,40–53% of global consumption-based household greenhouse gases emissions,,,share of households with the highest per capita emissions,global consumption-based household greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
596,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b0,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,contribute,E,Positive,Positive_correlation,the bottom 50% of households with the highest per capita emissions,13-15% of global consumption-based household greenhouse gases emissions,,,share of households with the highest per capita emissions,global consumption-based household greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
597,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b1,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,based,I,Positive,Positive_correlation,consumption,household greenhouse gases emissions,,,consumption,household greenhouse gases emissions,,consumption-based household greenhouse gases emissions,GHG = greenhouse gases,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
598,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b2,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,based,I,Positive,Positive_correlation,consumption,greenhouse gases emissions,,,consumption,greenhouse gases emissions,,consumption-based household greenhouse gases emissions,GHG = greenhouse gases,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
599,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b4,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,based,I,Positive,Positive_correlation,households,consumption,,,households,consumption,,consumption-based household greenhouse gases emissions,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
600,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b3,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,based,I,Positive,Positive_correlation,households,greenhouse gases emissions,,,households,greenhouse gases emissions,,consumption-based household greenhouse gases emissions,GHG = greenhouse gases,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
601,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b5,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,can be attributed to,E,Positive,Positive_correlation,urban areas,increasing share of emissions,,,urban areas,share of emissions,,greenhouse gases emissions,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
602,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b5,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,can be attributed to,E,Positive,Positive_correlation,urban areas,greenhouse gases emissions,,,urban areas,greenhouse gases emissions,,urban greenhouse gases emissions,GHG = greenhouse gases,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
603,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b6,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,the drivers of,E,Positive,Positive_correlation,population size,urban greenhouse gases emissions,,,population size,urban greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
604,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b6,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,the drivers of,E,Positive,Positive_correlation,income,urban greenhouse gases emissions,,,income,urban greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
605,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b6,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,the drivers of,E,Positive,Positive_correlation,state of urbanisation,urban greenhouse gases emissions,,,state of urbanisation,urban greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
606,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q105-04924bec-495f-67e6-1a21-1fc8decd16b6,2.1.1 Observed Warming and its Causes,2.1.1.i,1.0,"Human-caused climate change is a consequence of more than a century of net GHG emissions from energy use, land-use and land use change, lifestyle and patterns of consumption, and production. Emissions reductions in CO2 from fossil fuels and industrial processes (CO2-FFI), due to improvements in energy intensity of GDP and carbon intensity of energy, have been less than emissions increases from rising global activity levels in industry, energy supply, transport, agriculture and buildings. The 10% of households with the highest per capita emissions contribute 34–45% of global consumption-based household GHG emissions, while the middle 40% contribute 40–53%, and the bottom 50% contribute 13–15%. An increasing share of emissions can be attributed to urban areas (a rise from about 62% to 67–72% of the global share between 2015 and 2020). The drivers of urban GHG emissions are complex and include population size, income, state of urbanisation and urban form.",Yes,the drivers of,E,Positive,Positive_correlation,urban form,urban greenhouse gases emissions,,,urban form,urban greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
607,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-5025e582-49af-e139-9f7d-4e3d49463c16,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.a,1.0,"It is unequivocal that human influence has warmed the atmosphere, ocean and land. Widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere have occurred (Table 2.1). The scale of recent changes across the climate system as a whole and the present state of many aspects of the climate system are unprecedented over many centuries to many thousands of years. It is very likely that GHG emissions were the main driver of tropospheric warming and extremely likely that human-caused stratospheric ozone depletion was the main driver of stratospheric cooling between 1979 and the mid-1990s. It is virtually certain that the global upper ocean (0-700m) has warmed since the 1970s and extremely likely that human influence is the main driver. Ocean warming accounted for 91% of the heating in the climate system, with land warming, ice loss and atmospheric warming accounting for about 5%, 3% and 1%, respectively.",Yes,has warmed,E,Positive,Positive_correlation,human influence,atmosphere warming,,,human influence,atmosphere warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
608,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-5025e582-49af-e139-9f7d-4e3d49463c16,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.a,1.0,"It is unequivocal that human influence has warmed the atmosphere, ocean and land. Widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere have occurred (Table 2.1). The scale of recent changes across the climate system as a whole and the present state of many aspects of the climate system are unprecedented over many centuries to many thousands of years. It is very likely that GHG emissions were the main driver of tropospheric warming and extremely likely that human-caused stratospheric ozone depletion was the main driver of stratospheric cooling between 1979 and the mid-1990s. It is virtually certain that the global upper ocean (0-700m) has warmed since the 1970s and extremely likely that human influence is the main driver. Ocean warming accounted for 91% of the heating in the climate system, with land warming, ice loss and atmospheric warming accounting for about 5%, 3% and 1%, respectively.",Yes,has warmed,E,Positive,Positive_correlation,human influence,ocean warming,,,human influence,ocean warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
609,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-5025e582-49af-e139-9f7d-4e3d49463c16,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.a,1.0,"It is unequivocal that human influence has warmed the atmosphere, ocean and land. Widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere have occurred (Table 2.1). The scale of recent changes across the climate system as a whole and the present state of many aspects of the climate system are unprecedented over many centuries to many thousands of years. It is very likely that GHG emissions were the main driver of tropospheric warming and extremely likely that human-caused stratospheric ozone depletion was the main driver of stratospheric cooling between 1979 and the mid-1990s. It is virtually certain that the global upper ocean (0-700m) has warmed since the 1970s and extremely likely that human influence is the main driver. Ocean warming accounted for 91% of the heating in the climate system, with land warming, ice loss and atmospheric warming accounting for about 5%, 3% and 1%, respectively.",Yes,has warmed,E,Positive,Positive_correlation,human influence,land warming,,,human influence,land warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
610,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-5025e582-49af-e139-9f7d-4e3d49463c16,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.a,1.0,"It is unequivocal that human influence has warmed the atmosphere, ocean and land. Widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere have occurred (Table 2.1). The scale of recent changes across the climate system as a whole and the present state of many aspects of the climate system are unprecedented over many centuries to many thousands of years. It is very likely that GHG emissions were the main driver of tropospheric warming and extremely likely that human-caused stratospheric ozone depletion was the main driver of stratospheric cooling between 1979 and the mid-1990s. It is virtually certain that the global upper ocean (0-700m) has warmed since the 1970s and extremely likely that human influence is the main driver. Ocean warming accounted for 91% of the heating in the climate system, with land warming, ice loss and atmospheric warming accounting for about 5%, 3% and 1%, respectively.",Yes,the main driver of,E,Positive,Positive_correlation,greenhouse gases emissions,tropospheric warming,,,greenhouse gases emissions,tropospheric warming,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
611,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-5025e582-49af-e139-9f7d-4e3d49463c16,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.a,1.0,"It is unequivocal that human influence has warmed the atmosphere, ocean and land. Widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere have occurred (Table 2.1). The scale of recent changes across the climate system as a whole and the present state of many aspects of the climate system are unprecedented over many centuries to many thousands of years. It is very likely that GHG emissions were the main driver of tropospheric warming and extremely likely that human-caused stratospheric ozone depletion was the main driver of stratospheric cooling between 1979 and the mid-1990s. It is virtually certain that the global upper ocean (0-700m) has warmed since the 1970s and extremely likely that human influence is the main driver. Ocean warming accounted for 91% of the heating in the climate system, with land warming, ice loss and atmospheric warming accounting for about 5%, 3% and 1%, respectively.",Yes,caused,E,Positive,Positive_correlation,humans,stratospheric ozone depletion,,,human activities,stratospheric ozone depletion,,human-caused stratospheric ozone depletion,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
612,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-5025e582-49af-e139-9f7d-4e3d49463c16,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.a,1.0,"It is unequivocal that human influence has warmed the atmosphere, ocean and land. Widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere have occurred (Table 2.1). The scale of recent changes across the climate system as a whole and the present state of many aspects of the climate system are unprecedented over many centuries to many thousands of years. It is very likely that GHG emissions were the main driver of tropospheric warming and extremely likely that human-caused stratospheric ozone depletion was the main driver of stratospheric cooling between 1979 and the mid-1990s. It is virtually certain that the global upper ocean (0-700m) has warmed since the 1970s and extremely likely that human influence is the main driver. Ocean warming accounted for 91% of the heating in the climate system, with land warming, ice loss and atmospheric warming accounting for about 5%, 3% and 1%, respectively.",Yes,the main driver of,E,Positive,Positive_correlation,human-caused stratospheric ozone depletion,stratospheric cooling,,between 1979 and the mid-1990s,human-caused stratospheric ozone depletion,stratospheric cooling,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
613,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-5025e582-49af-e139-9f7d-4e3d49463c16,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.a,1.0,"It is unequivocal that human influence has warmed the atmosphere, ocean and land. Widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere have occurred (Table 2.1). The scale of recent changes across the climate system as a whole and the present state of many aspects of the climate system are unprecedented over many centuries to many thousands of years. It is very likely that GHG emissions were the main driver of tropospheric warming and extremely likely that human-caused stratospheric ozone depletion was the main driver of stratospheric cooling between 1979 and the mid-1990s. It is virtually certain that the global upper ocean (0-700m) has warmed since the 1970s and extremely likely that human influence is the main driver. Ocean warming accounted for 91% of the heating in the climate system, with land warming, ice loss and atmospheric warming accounting for about 5%, 3% and 1%, respectively.",Yes,the main driver,I,Positive,Positive_correlation,human influence,warming of the global upper ocean (0 - 700m),,since the 1970s,human influence,warming of the global upper ocean,,ocean warming,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
614,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-5025e582-49af-e139-9f7d-4e3d49463c16,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.a,1.0,"It is unequivocal that human influence has warmed the atmosphere, ocean and land. Widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere have occurred (Table 2.1). The scale of recent changes across the climate system as a whole and the present state of many aspects of the climate system are unprecedented over many centuries to many thousands of years. It is very likely that GHG emissions were the main driver of tropospheric warming and extremely likely that human-caused stratospheric ozone depletion was the main driver of stratospheric cooling between 1979 and the mid-1990s. It is virtually certain that the global upper ocean (0-700m) has warmed since the 1970s and extremely likely that human influence is the main driver. Ocean warming accounted for 91% of the heating in the climate system, with land warming, ice loss and atmospheric warming accounting for about 5%, 3% and 1%, respectively.",Yes,accounted for,E,Positive,Positive_correlation,ocean warming,91% of the heating in the climate system,,since the 1970s,ocean warming,heating in the climate system,"ocean warming, land warming, ice loss and atmospheric warming",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
615,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-5025e582-49af-e139-9f7d-4e3d49463c16,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.a,1.0,"It is unequivocal that human influence has warmed the atmosphere, ocean and land. Widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere have occurred (Table 2.1). The scale of recent changes across the climate system as a whole and the present state of many aspects of the climate system are unprecedented over many centuries to many thousands of years. It is very likely that GHG emissions were the main driver of tropospheric warming and extremely likely that human-caused stratospheric ozone depletion was the main driver of stratospheric cooling between 1979 and the mid-1990s. It is virtually certain that the global upper ocean (0-700m) has warmed since the 1970s and extremely likely that human influence is the main driver. Ocean warming accounted for 91% of the heating in the climate system, with land warming, ice loss and atmospheric warming accounting for about 5%, 3% and 1%, respectively.",Yes,accounted for,E,Positive,Positive_correlation,land warming,5% of the heating in the climate system,,since the 1970s,land warming,heating in the climate system,"ocean warming, land warming, ice loss and atmospheric warming",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
616,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-5025e582-49af-e139-9f7d-4e3d49463c16,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.a,1.0,"It is unequivocal that human influence has warmed the atmosphere, ocean and land. Widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere have occurred (Table 2.1). The scale of recent changes across the climate system as a whole and the present state of many aspects of the climate system are unprecedented over many centuries to many thousands of years. It is very likely that GHG emissions were the main driver of tropospheric warming and extremely likely that human-caused stratospheric ozone depletion was the main driver of stratospheric cooling between 1979 and the mid-1990s. It is virtually certain that the global upper ocean (0-700m) has warmed since the 1970s and extremely likely that human influence is the main driver. Ocean warming accounted for 91% of the heating in the climate system, with land warming, ice loss and atmospheric warming accounting for about 5%, 3% and 1%, respectively.",Yes,accounted for,E,Positive,Positive_correlation,ice loss,3% of the heating in the climate system,,since the 1970s,ice loss,heating in the climate system,"ocean warming, land warming, ice loss and atmospheric warming",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
617,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-5025e582-49af-e139-9f7d-4e3d49463c16,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.a,1.0,"It is unequivocal that human influence has warmed the atmosphere, ocean and land. Widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere have occurred (Table 2.1). The scale of recent changes across the climate system as a whole and the present state of many aspects of the climate system are unprecedented over many centuries to many thousands of years. It is very likely that GHG emissions were the main driver of tropospheric warming and extremely likely that human-caused stratospheric ozone depletion was the main driver of stratospheric cooling between 1979 and the mid-1990s. It is virtually certain that the global upper ocean (0-700m) has warmed since the 1970s and extremely likely that human influence is the main driver. Ocean warming accounted for 91% of the heating in the climate system, with land warming, ice loss and atmospheric warming accounting for about 5%, 3% and 1%, respectively.",Yes,accounted for,E,Positive,Positive_correlation,atmospheric warming,1% of the heating in the climate system,,since the 1970s,atmospheric warming,heating in the climate system,"ocean warming, land warming, ice loss and atmospheric warming",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
618,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-5025e582-49af-e139-9f7d-4e3d49463c16,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.a,1.0,"It is unequivocal that human influence has warmed the atmosphere, ocean and land. Widespread and rapid changes in the atmosphere, ocean, cryosphere and biosphere have occurred (Table 2.1). The scale of recent changes across the climate system as a whole and the present state of many aspects of the climate system are unprecedented over many centuries to many thousands of years. It is very likely that GHG emissions were the main driver of tropospheric warming and extremely likely that human-caused stratospheric ozone depletion was the main driver of stratospheric cooling between 1979 and the mid-1990s. It is virtually certain that the global upper ocean (0-700m) has warmed since the 1970s and extremely likely that human influence is the main driver. Ocean warming accounted for 91% of the heating in the climate system, with land warming, ice loss and atmospheric warming accounting for about 5%, 3% and 1%, respectively.",Yes,accounted for,E,Positive,Positive_correlation,"ocean warming, land warming, ice loss and atmospheric warming",heating in the climate system,,since the 1970s,"ocean warming, land warming, ice loss and atmospheric warming",heating in the climate system,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
619,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-77994e66-47c8-7428-6391-fefd4feb46d5,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.a,2.0,"Global mean sea level increased by 0.20 [0.15–0.25] m between 1901 and 2018. The average rate of sea level rise was 1.3 [0.6 to 2.1]mm yr-1 between 1901 and 1971, increasing to 1.9 [0.8 to 2.9] mm yr-1 between 1971 and 2006, and further increasing to 3.7 [3.2 to –4.2] mm yr-1 between 2006 and 2018.",No,,,,,,,,,,,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
620,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-77994e66-47c8-7428-6391-fefd4feb46d6,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,1.0,"Across sectors and regions, the most vulnerable people and systems have been disproportionately affected by the impacts of climate change.",Yes,have been affected by,E,Positive,Positive_correlation,the impacts of climate change,effect on the most vulnerable people,,across sectors,the impacts of climate change,effect on the most vulnerable people,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
621,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-77994e66-47c8-7428-6391-fefd4feb46d6,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,1.0,"Across sectors and regions, the most vulnerable people and systems have been disproportionately affected by the impacts of climate change.",Yes,have been affected by,E,Positive,Positive_correlation,the impacts of climate change,effect on the most vulnerable systems,,across sectors,the impacts of climate change,effect on the most vulnerable systems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
622,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-77994e66-47c8-7428-6391-fefd4feb46d6,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,1.0,"Across sectors and regions, the most vulnerable people and systems have been disproportionately affected by the impacts of climate change.",Yes,have been affected by,E,Positive,Positive_correlation,the impacts of climate change,effect on the most vulnerable people,,across regions,the impacts of climate change,effect on the most vulnerable people,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
623,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q106-77994e66-47c8-7428-6391-fefd4feb46d6,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,1.0,"Across sectors and regions, the most vulnerable people and systems have been disproportionately affected by the impacts of climate change.",Yes,have been affected by,E,Positive,Positive_correlation,the impacts of climate change,effect on the most vulnerable systems,,across regions,the impacts of climate change,effect on the most vulnerable systems,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
624,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-5f3ab986-4be6-2888-33af-5e3cdf37c719,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,2.0,"LDCs and SIDS who have much lower per capita emissions (1.7 tCO2-eq, 4.6 tCO2-eq, respectively) than the global average (6.9 tCO2-eq) excluding CO2-LULUCF, also have high vulnerability to climatic hazards, with global hotspots of high human vulnerability observed in West-, Central- and East Africa, South Asia, Central and South America, SIDS and the Arctic.",Yes,CO2-LULUCF,I,Positive,Positive_correlation,land use,carbon dioxide emissions,,,land use,carbon dioxide emissions,"Land Use, Land Use Change, and Forestry","carbon dioxide emissions from land use, land-use change and forestry",CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
625,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-5f3ab986-4be6-2888-33af-5e3cdf37c720,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,2.0,"LDCs and SIDS who have much lower per capita emissions (1.7 tCO2-eq, 4.6 tCO2-eq, respectively) than the global average (6.9 tCO2-eq) excluding CO2-LULUCF, also have high vulnerability to climatic hazards, with global hotspots of high human vulnerability observed in West-, Central- and East Africa, South Asia, Central and South America, SIDS and the Arctic.",Yes,CO2-LULUCF,I,Positive,Positive_correlation,land-use change,carbon dioxide emissions,,,land-use change,carbon dioxide emissions,"Land Use, Land Use Change, and Forestry","carbon dioxide emissions from land use, land-use change and forestry",CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
626,,,,,"LDCs and SIDS who have much lower per capita emissions (1.7 tCO2-eq, 4.6 tCO2-eq, respectively) than the global average (6.9 tCO2-eq) excluding CO2-LULUCF, also have high vulnerability to climatic hazards, with global hotspots of high human vulnerability observed in West-, Central- and East Africa, South Asia, Central and South America, SIDS and the Arctic.",Yes,CO2-LULUCF,I,Positive,Positive_correlation,forestry,carbon dioxide emissions,,,forestry,carbon dioxide emissions,"Land Use, Land Use Change, and Forestry","carbon dioxide emissions from land use, land-use change and forestry",CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
627,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-5f3ab986-4be6-2888-33af-5e3cdf37c721,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,2.0,"LDCs and SIDS who have much lower per capita emissions (1.7 tCO2-eq, 4.6 tCO2-eq, respectively) than the global average (6.9 tCO2-eq) excluding CO2-LULUCF, also have high vulnerability to climatic hazards, with global hotspots of high human vulnerability observed in West-, Central- and East Africa, South Asia, Central and South America, SIDS and the Arctic.",Yes,CO2-LULUCF,I,Positive,Positive_correlation,"Land Use, Land Use Change, and Forestry",carbon dioxide emissions,,,"Land Use, Land Use Change, and Forestry",carbon dioxide emissions,"Land Use, Land Use Change, and Forestry","carbon dioxide emissions from land use, land-use change and forestry",CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
628,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-0acdbc88-4c01-c6f6-b735-f0394075023c,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,4.0,"Vulnerability is higher in locations with poverty, governance challenges and limited access to basic services and resources, violent conflict and high levels of climate-sensitive livelihoods (e.g., smallholder farmers, pastoralists, fishing communities)",Yes,/,I,Positive,Positive_correlation,poverty,higher vulnerability to climatic hazards,,,poverty,vulnerability to climatic hazards,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
629,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-0acdbc88-4c01-c6f6-b735-f0394075023c,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,4.0,"Vulnerability is higher in locations with poverty, governance challenges and limited access to basic services and resources, violent conflict and high levels of climate-sensitive livelihoods (e.g., smallholder farmers, pastoralists, fishing communities)",Yes,/,I,Positive,Positive_correlation,governance challenges,higher vulnerability to climatic hazards,,,governance challenges,vulnerability to climatic hazards,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
630,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-0acdbc88-4c01-c6f6-b735-f0394075023c,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,4.0,"Vulnerability is higher in locations with poverty, governance challenges and limited access to basic services and resources, violent conflict and high levels of climate-sensitive livelihoods (e.g., smallholder farmers, pastoralists, fishing communities)",Yes,/,I,Positive,Negative_correlation,limited access to basic services,higher vulnerability to climatic hazards,,,access to basic resources,vulnerability to climatic hazards,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
631,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-0acdbc88-4c01-c6f6-b735-f0394075023c,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,4.0,"Vulnerability is higher in locations with poverty, governance challenges and limited access to basic services and resources, violent conflict and high levels of climate-sensitive livelihoods (e.g., smallholder farmers, pastoralists, fishing communities)",Yes,/,I,Positive,Negative_correlation,limited access to basic resources,higher vulnerability to climatic hazards,,,access to basic resources,vulnerability to climatic hazards,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
632,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-0acdbc88-4c01-c6f6-b735-f0394075023c,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,4.0,"Vulnerability is higher in locations with poverty, governance challenges and limited access to basic services and resources, violent conflict and high levels of climate-sensitive livelihoods (e.g., smallholder farmers, pastoralists, fishing communities)",Yes,/,I,Positive,Positive_correlation,violent conflict,higher vulnerability to climatic hazards,,,violent conflict,vulnerability to climatic hazards,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
633,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-0acdbc88-4c01-c6f6-b735-f0394075023c,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,4.0,"Vulnerability is higher in locations with poverty, governance challenges and limited access to basic services and resources, violent conflict and high levels of climate-sensitive livelihoods (e.g., smallholder farmers, pastoralists, fishing communities)",Yes,/,I,Positive,Positive_correlation,high levels of climate-sensitive livelihoods,higher vulnerability to climatic hazards,,,level of climate-sensitive livelihoods,vulnerability to climatic hazards,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
634,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-0acdbc88-4c01-c6f6-b735-f0394075023c,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,4.0,"Vulnerability is higher in locations with poverty, governance challenges and limited access to basic services and resources, violent conflict and high levels of climate-sensitive livelihoods (e.g., smallholder farmers, pastoralists, fishing communities)",Yes,/,I,Positive,Positive_correlation,livelihood as smallholder farmers,higher vulnerability to climatic hazards,,,livelihood as smallholder farmers,vulnerability to climatic hazards,high levels of climate-sensitive livelihoods,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
635,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-0acdbc88-4c01-c6f6-b735-f0394075023c,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,4.0,"Vulnerability is higher in locations with poverty, governance challenges and limited access to basic services and resources, violent conflict and high levels of climate-sensitive livelihoods (e.g., smallholder farmers, pastoralists, fishing communities)",Yes,/,I,Positive,Positive_correlation,livelihood as pastoralists,higher vulnerability to climatic hazards,,,livelihood as pastoralists,vulnerability to climatic hazards,high levels of climate-sensitive livelihoods,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
636,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-0acdbc88-4c01-c6f6-b735-f0394075023c,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,4.0,"Vulnerability is higher in locations with poverty, governance challenges and limited access to basic services and resources, violent conflict and high levels of climate-sensitive livelihoods (e.g., smallholder farmers, pastoralists, fishing communities)",Yes,/,I,Positive,Positive_correlation,livelihood as fishing communities,higher vulnerability to climatic hazards,,,livelihood as fishing communities,vulnerability to climatic hazards,high levels of climate-sensitive livelihoods,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
637,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-c4850bae-48bf-65fe-cf25-4642e1e6e3db,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,3.0,Regions and people with considerable development constraints have high vulnerability to climatic hazards.,Yes,/,I,Positive,Positive_correlation,considerable development constraints,higher vulnerability to climatic hazards,with regions and people,,considerable development constraints,vulnerability to climatic hazards,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
638,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,5.0,"Vulnerability at different spatial levels is exacerbated by inequity and marginalisation linked to gender, ethnicity, low income or combinations thereof (high confidence), especially for many Indigenous Peoples and local communities (high confidence).",Yes,is exacerbated by,E,Positive,Positive_correlation,inequity linked to gender,higher vulnerability to climatic hazards,,for many Indigenous Peoples,inequity linked to gender,vulnerability to climatic hazards,"inequity linked to combinations of gender, ethnicity, and low income",,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
639,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,5.0,"Vulnerability at different spatial levels is exacerbated by inequity and marginalisation linked to gender, ethnicity, low income or combinations thereof (high confidence), especially for many Indigenous Peoples and local communities (high confidence).",Yes,is exacerbated by,E,Positive,Positive_correlation,inequity linked to ethnicity,higher vulnerability to climatic hazards,,for many Indigenous Peoples,inequity linked to ethnicity,vulnerability to climatic hazards,"inequity linked to combinations of gender, ethnicity, and low income",,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
640,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d0,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,5.0,"Vulnerability at different spatial levels is exacerbated by inequity and marginalisation linked to gender, ethnicity, low income or combinations thereof (high confidence), especially for many Indigenous Peoples and local communities (high confidence).",Yes,is exacerbated by,E,Positive,Positive_correlation,inequity linked to low income,higher vulnerability to climatic hazards,,for many Indigenous Peoples,inequity linked to low income,vulnerability to climatic hazards,"inequity linked to combinations of gender, ethnicity, and low income",,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
641,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,5.0,"Vulnerability at different spatial levels is exacerbated by inequity and marginalisation linked to gender, ethnicity, low income or combinations thereof (high confidence), especially for many Indigenous Peoples and local communities (high confidence).",Yes,is exacerbated by,E,Positive,Positive_correlation,"inequity linked to combinations of gender, ethnicity, and low income",higher vulnerability to climatic hazards,,for many Indigenous Peoples,"inequity linked to combinations of gender, ethnicity, and low income",vulnerability to climatic hazards,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
642,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,5.0,"Vulnerability at different spatial levels is exacerbated by inequity and marginalisation linked to gender, ethnicity, low income or combinations thereof (high confidence), especially for many Indigenous Peoples and local communities (high confidence).",Yes,is exacerbated by,E,Positive,Positive_correlation,marginalisation linked to gender,higher vulnerability to climatic hazards,,for many local communities,marginalisation linked to gender,vulnerability to climatic hazards,"inequity linked to combinations of gender, ethnicity, and low income",,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
643,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d3,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,5.0,"Vulnerability at different spatial levels is exacerbated by inequity and marginalisation linked to gender, ethnicity, low income or combinations thereof (high confidence), especially for many Indigenous Peoples and local communities (high confidence).",Yes,is exacerbated by,E,Positive,Positive_correlation,marginalisation linked to ethnicity,higher vulnerability to climatic hazards,,for many local communities,marginalisation linked to ethnicity,vulnerability to climatic hazards,"inequity linked to combinations of gender, ethnicity, and low income",,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
644,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d4,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,5.0,"Vulnerability at different spatial levels is exacerbated by inequity and marginalisation linked to gender, ethnicity, low income or combinations thereof (high confidence), especially for many Indigenous Peoples and local communities (high confidence).",Yes,is exacerbated by,E,Positive,Positive_correlation,marginalisation linked to low income,higher vulnerability to climatic hazards,,for many local communities,marginalisation linked to low income,vulnerability to climatic hazards,"inequity linked to combinations of gender, ethnicity, and low income",,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
645,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,5.0,"Vulnerability at different spatial levels is exacerbated by inequity and marginalisation linked to gender, ethnicity, low income or combinations thereof (high confidence), especially for many Indigenous Peoples and local communities (high confidence).",Yes,is exacerbated by,E,Positive,Positive_correlation,"marginalisation linked to combinations of gender, ethnicity, and low income",higher vulnerability to climatic hazards,,for many local communities,"marginalisation linked to combinations of gender, ethnicity, and low income",vulnerability to climatic hazards,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
646,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d2,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,5.0,"Vulnerability at different spatial levels is exacerbated by inequity and marginalisation linked to gender, ethnicity, low income or combinations thereof (high confidence), especially for many Indigenous Peoples and local communities (high confidence).",Yes,is exacerbated by,E,Positive,Positive_correlation,marginalisation linked to gender,higher vulnerability to climatic hazards,,,marginalisation linked to gender,vulnerability to climatic hazards,"inequity linked to combinations of gender, ethnicity, and low income",,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
647,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d3,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,5.0,"Vulnerability at different spatial levels is exacerbated by inequity and marginalisation linked to gender, ethnicity, low income or combinations thereof (high confidence), especially for many Indigenous Peoples and local communities (high confidence).",Yes,is exacerbated by,E,Positive,Positive_correlation,marginalisation linked to ethnicity,higher vulnerability to climatic hazards,,,marginalisation linked to ethnicity,vulnerability to climatic hazards,"inequity linked to combinations of gender, ethnicity, and low income",,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
648,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d4,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,5.0,"Vulnerability at different spatial levels is exacerbated by inequity and marginalisation linked to gender, ethnicity, low income or combinations thereof (high confidence), especially for many Indigenous Peoples and local communities (high confidence).",Yes,is exacerbated by,E,Positive,Positive_correlation,marginalisation linked to low income,higher vulnerability to climatic hazards,,,marginalisation linked to low income,vulnerability to climatic hazards,"inequity linked to combinations of gender, ethnicity, and low income",,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
649,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d1,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,5.0,"Vulnerability at different spatial levels is exacerbated by inequity and marginalisation linked to gender, ethnicity, low income or combinations thereof (high confidence), especially for many Indigenous Peoples and local communities (high confidence).",Yes,is exacerbated by,E,Positive,Positive_correlation,"marginalisation linked to combinations of gender, ethnicity, and low income",higher vulnerability to climatic hazards,,,"marginalisation linked to combinations of gender, ethnicity, and low income",vulnerability to climatic hazards,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
650,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,patterns of intersecting socio-economic development,differences in vulnerability of ecosystems to climate change among regions,,,patterns of intersecting socio-economic development,differences in vulnerability of ecosystems to climate change among regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
651,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,patterns of intersecting socio-economic development,differences in vulnerability of ecosystems to climate change within regions,,,patterns of intersecting socio-economic development,differences in vulnerability of ecosystems to climate change within regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
652,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,patterns of intersecting socio-economic development,differences in vulnerability of people to climate change among regions,,,patterns of intersecting socio-economic development,differences in vulnerability of people to climate change among regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
653,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,patterns of intersecting socio-economic development,differences in vulnerability of people to climate change within regions,,,patterns of intersecting socio-economic development,differences in vulnerability of people to climate change within regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
654,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,unsustainable ocean use,differences in vulnerability of ecosystems to climate change among regions,,,unsustainable ocean use,differences in vulnerability of ecosystems to climate change among regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
655,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,unsustainable ocean use,differences in vulnerability of ecosystems to climate change within regions,,,unsustainable ocean use,differences in vulnerability of ecosystems to climate change within regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
656,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,unsustainable ocean use,differences in vulnerability of people to climate change among regions,,,unsustainable ocean use,differences in vulnerability of people to climate change among regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
657,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,unsustainable ocean use,differences in vulnerability of people to climate change within regions,,,unsustainable ocean use,differences in vulnerability of people to climate change within regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
658,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,unsustainable land use,differences in vulnerability of ecosystems to climate change among regions,,,unsustainable land use,differences in vulnerability of ecosystems to climate change among regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
659,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,unsustainable land use,differences in vulnerability of ecosystems to climate change within regions,,,unsustainable land use,differences in vulnerability of ecosystems to climate change within regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
660,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,unsustainable land use,differences in vulnerability of people to climate change among regions,,,unsustainable land use,differences in vulnerability of people to climate change among regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
661,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,unsustainable land use,differences in vulnerability of people to climate change within regions,,,unsustainable land use,differences in vulnerability of people to climate change within regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
662,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,inequity,differences in vulnerability of ecosystems to climate change among regions,,,inequity,differences in vulnerability of ecosystems to climate change among regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
663,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,inequity,differences in vulnerability of ecosystems to climate change within regions,,,inequity,differences in vulnerability of ecosystems to climate change within regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
664,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,inequity,differences in vulnerability of people to climate change among regions,,,inequity,differences in vulnerability of people to climate change among regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
665,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,inequity,differences in vulnerability of people to climate change within regions,,,inequity,differences in vulnerability of people to climate change within regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
666,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,marginalisation,differences in vulnerability of ecosystems to climate change among regions,,,marginalisation,differences in vulnerability of ecosystems to climate change among regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
667,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,marginalisation,differences in vulnerability of ecosystems to climate change within regions,,,marginalisation,differences in vulnerability of ecosystems to climate change within regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
668,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,marginalisation,differences in vulnerability of people to climate change among regions,,,marginalisation,differences in vulnerability of people to climate change among regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
669,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,marginalisation,differences in vulnerability of people to climate change within regions,,,marginalisation,differences in vulnerability of people to climate change within regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
670,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,historical and ongoing patterns of inequity,differences in vulnerability of ecosystems to climate change among regions,,,historical and ongoing patterns of inequity,differences in vulnerability of ecosystems to climate change among regions,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
671,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,historical patterns of inequity,differences in vulnerability of ecosystems to climate change among regions,,,historical patterns of inequity,differences in vulnerability of ecosystems to climate change among regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
672,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,historical patterns of inequity,differences in vulnerability of ecosystems to climate change within regions,,,historical patterns of inequity,differences in vulnerability of ecosystems to climate change within regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
673,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,historical patterns of inequity,differences in vulnerability of people to climate change among regions,,,historical patterns of inequity,differences in vulnerability of people to climate change among regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
674,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,historical patterns of inequity,differences in vulnerability of people to climate change within regions,,,historical patterns of inequity,differences in vulnerability of people to climate change within regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
675,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,ongoing patterns of inequity,differences in vulnerability of ecosystems to climate change among regions,,,ongoing patterns of inequity,differences in vulnerability of ecosystems to climate change among regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
676,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,ongoing patterns of inequity,differences in vulnerability of ecosystems to climate change within regions,,,ongoing patterns of inequity,differences in vulnerability of ecosystems to climate change within regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
677,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,ongoing patterns of inequity,differences in vulnerability of people to climate change among regions,,,ongoing patterns of inequity,differences in vulnerability of people to climate change among regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
678,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,ongoing patterns of inequity,differences in vulnerability of people to climate change within regions,,,ongoing patterns of inequity,differences in vulnerability of people to climate change within regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
679,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,colonialism,differences in vulnerability of ecosystems to climate change within regions,,,colonialism,differences in vulnerability of ecosystems to climate change within regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
680,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,colonialism,differences in vulnerability of people to climate change among regions,,,colonialism,differences in vulnerability of people to climate change among regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
681,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,colonialism,differences in vulnerability of people to climate change within regions,,,colonialism,differences in vulnerability of people to climate change within regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
682,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,colonialism,differences in vulnerability of people to climate change within regions,,,colonialism,differences in vulnerability of people to climate change within regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
683,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,colonialism,differences in vulnerability of people to climate change within regions,,,colonialism,differences in vulnerability of people to climate change within regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
684,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,governance,differences in vulnerability of ecosystems to climate change within regions,,,governance,differences in vulnerability of ecosystems to climate change within regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
685,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,governance,differences in vulnerability of people to climate change among regions,,,governance,differences in vulnerability of people to climate change among regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
686,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-10dd6f87-473f-5456-020f-3427dcebc94d,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,10.0,"Vulnerability of ecosystems and people to climate change differs substantially among and within regions (very high confidence), driven by patterns of intersecting socio-economic development, unsustainable ocean and land use, inequity, marginalisation, historical and ongoing patterns of inequity such as colonialism, and governance (high confidence)",Yes,driven by,E,Positive,Positive_correlation,governance,differences in vulnerability of people to climate change within regions,,,governance,differences in vulnerability of people to climate change within regions,historical and ongoing patterns of inequity,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
687,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-60793cc9-49c1-8516-013a-a683bbd70484,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,8.0,"In the Arctic and in some high mountain regions, negative impacts of cryosphere change have been especially felt among Indigenous Peoples.",No,,,,,,,,,,,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
688,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-8ec6b8b8-4441-0252-24c0-7960cd28f8ed,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,9.0,Human and ecosystem vulnerability are interdependent.,No,,,,,,,,,,,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
689,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-d6304cc9-445c-2b92-ea7e-245e3aa487a0,3.1.1 Long-term Climate Change ,3.1.1.h,1.0,"With further global warming, every region is projected to increasingly experience concurrent and multiple changes in climatic impact-drivers. Increases in hot and decreases in cold climatic impact-drivers, such as temperature extremes, are projected in all regions.",Yes,to increasingly experience,I,Positive,Positive_correlation,further global warming,increase in concurrent changes in climatic impact-drivers,,every region,global warming,concurrent changes in climatic impact-drivers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
690,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-d6304cc9-445c-2b92-ea7e-245e3aa487a1,3.1.1 Long-term Climate Change ,3.1.1.h,1.0,"With further global warming, every region is projected to increasingly experience concurrent and multiple changes in climatic impact-drivers. Increases in hot and decreases in cold climatic impact-drivers, such as temperature extremes, are projected in all regions.",Yes,to increasingly experience,I,Positive,Positive_correlation,further global warming,increase in multiple changes in climatic impact-drivers,,every region,global warming,multiple changes in climatic impact-drivers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
691,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-d6304cc9-445c-2b92-ea7e-245e3aa487a2,3.1.1 Long-term Climate Change ,3.1.1.h,1.0,"With further global warming, every region is projected to increasingly experience concurrent and multiple changes in climatic impact-drivers. Increases in hot and decreases in cold climatic impact-drivers, such as temperature extremes, are projected in all regions.",Yes,to increasingly experience,I,Positive,Positive_correlation,further global warming,increase in hot climatic impact-drivers,,in all regions,global warming,hot climatic impact-drivers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
692,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-d6304cc9-445c-2b92-ea7e-245e3aa487a3,3.1.1 Long-term Climate Change ,3.1.1.h,1.0,"With further global warming, every region is projected to increasingly experience concurrent and multiple changes in climatic impact-drivers. Increases in hot and decreases in cold climatic impact-drivers, such as temperature extremes, are projected in all regions.",Yes,to increasingly experience,I,Positive,Negative_correlation,further global warming,decreases in cold climatic impact-drivers,,in all regions,global warming,cold climatic impact-drivers,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
693,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-d6304cc9-445c-2b92-ea7e-245e3aa487a4,3.1.1 Long-term Climate Change ,3.1.1.h,1.0,"With further global warming, every region is projected to increasingly experience concurrent and multiple changes in climatic impact-drivers. Increases in hot and decreases in cold climatic impact-drivers, such as temperature extremes, are projected in all regions.",Yes,to increasingly experience,I,Positive,Negative_correlation,further global warming,decreases in cold temperature extremes,,in all regions; cold climatic impact-drivers,global warming,cold temperature extremes,,decreases in cold climatic impact-drivers,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
694,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-d6304cc9-445c-2b92-ea7e-245e3aa487a5,3.1.1 Long-term Climate Change ,3.1.1.h,1.0,"With further global warming, every region is projected to increasingly experience concurrent and multiple changes in climatic impact-drivers. Increases in hot and decreases in cold climatic impact-drivers, such as temperature extremes, are projected in all regions.",Yes,to increasingly experience,I,Positive,Positive_correlation,further global warming,increase in hot temperature extremes,,in all regions; hot climatic impact-drivers,global warming,hot temperature extremes,,increases in hot climatic impact-drivers,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
695,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1735,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,to intensify,I,Positive,Positive_correlation,global warming of 1.5°C,higher intensity of heavy precipitation events,,in most regions in Africa,global warming,intensity of heavy precipitation events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
696,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1736,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,to intensify,I,Positive,Positive_correlation,global warming of 1.5°C,higher intensity of heavy precipitation events,,in most regions in Asia,global warming,intensity of heavy precipitation events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
697,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1737,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,become more frequent,I,Positive,Positive_correlation,global warming of 1.5°C,higher frequency of heavy precipitation events,,in most regions in Africa,global warming,frequency of heavy precipitation events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
698,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1738,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,become more frequent,I,Positive,Positive_correlation,global warming of 1.5°C,higher frequency of heavy precipitation events,,in most regions in Asia,global warming,frequency of heavy precipitation events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
699,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1739,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,to intensify,I,Positive,Positive_correlation,global warming of 1.5°C,higher intensity of flooding events,,in most regions in Africa,global warming,intensity of flooding events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
700,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1740,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,to intensify,I,Positive,Positive_correlation,global warming of 1.5°C,higher intensity of flooding events,,in most regions in Asia,global warming,intensity of flooding events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
701,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1741,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,become more frequent,I,Positive,Positive_correlation,global warming of 1.5°C,higher frequency of flooding events,,in most regions in Africa,global warming,frequency of flooding events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
702,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1742,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,become more frequent,I,Positive,Positive_correlation,global warming of 1.5°C,higher frequency of flooding events,,in most regions in Asia,global warming,frequency of flooding events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
703,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1743,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,to intensify,I,Positive,Positive_correlation,global warming of 1.5°C,higher intensity of heavy precipitation events,,in most regions in North America,global warming,intensity of heavy precipitation events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,medium to high confidence,
704,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1744,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,become more frequent,I,Positive,Positive_correlation,global warming of 1.5°C,higher frequency of heavy precipitation events,,in most regions in North America,global warming,frequency of heavy precipitation events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,medium to high confidence,
705,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1745,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,to intensify,I,Positive,Positive_correlation,global warming of 1.5°C,higher intensity of flooding events,,in most regions in North America,global warming,intensity of flooding events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,medium to high confidence,
706,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1746,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,become more frequent,I,Positive,Positive_correlation,global warming of 1.5°C,higher frequency of flooding events,,in most regions in North America,global warming,frequency of flooding events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,medium to high confidence,
707,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1747,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,to intensify,I,Positive,Positive_correlation,global warming of 1.5°C,higher intensity of heavy precipitation events,,in most regions in Europe,global warming,intensity of heavy precipitation events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,medium confidence,
708,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1748,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,become more frequent,I,Positive,Positive_correlation,global warming of 1.5°C,higher frequency of heavy precipitation events,,in most regions in Europe,global warming,frequency of heavy precipitation events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,medium confidence,
709,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1749,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,to intensify,I,Positive,Positive_correlation,global warming of 1.5°C,higher intensity of flooding events,,in most regions in Europe,global warming,intensity of flooding events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,medium confidence,
710,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-9b2a2b19-4800-f07f-c32c-c787063b1750,3.1.1 Long-term Climate Change ,3.1.1.h,2.0,"At 1.5°C global warming, heavy precipitation and flooding events are projected to intensify and become more frequent in most regions in Africa, Asia (high confidence), North America (medium to high confidence) and Europe (medium confidence).",Yes,become more frequent,I,Positive,Positive_correlation,global warming of 1.5°C,higher frequency of flooding events,,in most regions in Europe,global warming,frequency of flooding events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,medium confidence,
711,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d20,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,to intensify,I,Positive,Positive_correlation,global warming of 2°C or above,higher intensity of heavy precipitation events,,"in more regions other than Africa, Asia, North America and Europe",global warming,intensity of heavy precipitation events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,high confidence,
712,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d19,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,become more frequent,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of heavy precipitation events,,"in more regions other than Africa, Asia, North America and Europe",global warming,frequency of heavy precipitation events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,high confidence,
713,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d18,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,to intensify,I,Positive,Positive_correlation,global warming of 2°C or above,higher intensity of flooding events,,"in more regions other than Africa, Asia, North America and Europe",global warming,intensity of flooding events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,high confidence,
714,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d17,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,become more frequent,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of flooding events,,"in more regions other than Africa, Asia, North America and Europe",global warming,frequency of flooding events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,high confidence,
715,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d16,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,significantly higher intensity of heavy precipitation events ,,,global warming,intensity of heavy precipitation events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,high confidence,
716,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d15,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,significantly higher frequency of heavy precipitation events,,,global warming,frequency of heavy precipitation events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,high confidence,
717,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d14,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,significantly higher intensity of flooding events,,,global warming,intensity of flooding events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,high confidence,
718,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d13,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,significantly higher frequency of flooding events,,,global warming,frequency of flooding events,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,high confidence,
719,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d12,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of agricultural droughts,,in Europe,global warming,frequency of agricultural droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
720,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d11,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of ecological droughts,,in Europe,global warming,frequency of ecological droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
721,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d10,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher severity of agricultural droughts,,in Europe,global warming,severity of agricultural droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
722,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d9,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher severity of ecological droughts,,in Europe,global warming,severity of ecological droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
723,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d8,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of agricultural droughts,,in Africa,global warming,frequency of agricultural droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
724,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d7,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of ecological droughts,,in Africa,global warming,frequency of ecological droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
725,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d6,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher severity of agricultural droughts,,in Africa,global warming,severity of agricultural droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
726,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d5,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher severity of ecological droughts,,in Africa,global warming,severity of ecological droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
727,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d4,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of agricultural droughts,,in Australasia,global warming,frequency of agricultural droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
728,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d3,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of ecological droughts,,in Australasia,global warming,frequency of ecological droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
729,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d2,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher severity of agricultural droughts,,in Australasia,global warming,severity of agricultural droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
730,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d1,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher severity of ecological droughts,,in Australasia,global warming,severity of ecological droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
731,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d0,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of agricultural droughts,,in North America,global warming,frequency of agricultural droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
732,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d1,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of ecological droughts,,in North America,global warming,frequency of ecological droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
733,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d2,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher severity of agricultural droughts,,in North America,global warming,severity of agricultural droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
734,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d3,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher severity of ecological droughts,,in North America,global warming,severity of ecological droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
735,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d4,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of agricultural droughts,,in Central America,global warming,frequency of agricultural droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
736,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d3,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of ecological droughts,,in Central America,global warming,frequency of ecological droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
737,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d2,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher severity of agricultural droughts,,in Central America,global warming,severity of agricultural droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
738,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d1,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher severity of ecological droughts,,in Central America,global warming,severity of ecological droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
739,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d0,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of agricultural droughts,,in South America,global warming,frequency of agricultural droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
740,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d1,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher frequency of ecological droughts,,in South America,global warming,frequency of ecological droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
741,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d2,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher severity of agricultural droughts,,in South America,global warming,severity of agricultural droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
742,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-66a08652-4bbc-8f6c-dc96-8d62a0bed1d3,3.1.1 Long-term Climate Change ,3.1.1.h,3.0,"At 2°C or above, these changes expand to more regions and/or become more significant (high confidence), and more frequent and/or severe agricultural and ecological droughts are projected in Europe, Africa, Australasia and North, Central and South America.",Yes,these changes,I,Positive,Positive_correlation,global warming of 2°C or above,higher severity of ecological droughts,,in South America,global warming,severity of ecological droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
743,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-314cfbe5-40fa-4a55-1f3d-8b3351f5de8e,3.1.1 Long-term Climate Change ,3.1.1.h,5.0,"Compound heatwaves and droughts become likely more frequent, including concurrently at multiple locations.",Yes,become likely more frequent,I,Positive,Positive_correlation,further global warming,higher frequency of compound heatwaves,,,global warming,frequency of compound heatwaves,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
744,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-314cfbe5-40fa-4a55-1f3d-8b3351f5de8e,3.1.1 Long-term Climate Change ,3.1.1.h,5.0,"Compound heatwaves and droughts become likely more frequent, including concurrently at multiple locations.",Yes,become likely more frequent,I,Positive,Positive_correlation,further global warming,higher frequency of compound droughts,,,global warming,frequency of compound droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
745,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-314cfbe5-40fa-4a55-1f3d-8b3351f5de8e,3.1.1 Long-term Climate Change ,3.1.1.h,5.0,"Compound heatwaves and droughts become likely more frequent, including concurrently at multiple locations.",Yes,become likely,I,Positive,Positive_correlation,further global warming,concurrent heatwaves and droughts,,at multiple locations,global warming,concurrent heatwaves and droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
746,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-e22431dd-4479-780a-7fd0-5faac4ea6413,3.1.1 Long-term Climate Change ,3.1.1.h,4.0,"Other projected regional changes include intensification of tropical cyclones and/or extra tropical storms (medium confidence), and increases in aridity and fire weather (medium to high confidence).",Yes,/,I,Positive,Positive_correlation,further global warming,other projected regional changes,,,global warming,regional changes,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
747,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-e22431dd-4479-780a-7fd0-5faac4ea6413,3.1.1 Long-term Climate Change ,3.1.1.h,4.0,"Other projected regional changes include intensification of tropical cyclones and/or extra tropical storms (medium confidence), and increases in aridity and fire weather (medium to high confidence).",Yes,intensification of,I,Positive,Positive_correlation,further global warming,intensification of tropical cyclones,,,global warming,intensity of tropical cyclones,,other projected regional changes,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
748,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-e22431dd-4479-780a-7fd0-5faac4ea6414,3.1.1 Long-term Climate Change ,3.1.1.h,4.0,"Other projected regional changes include intensification of tropical cyclones and/or extra tropical storms (medium confidence), and increases in aridity and fire weather (medium to high confidence).",Yes,intensification of,I,Positive,Positive_correlation,further global warming,intensification of tropical storms,,,global warming,intensity of tropical storms,,other projected regional changes,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
749,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-e22431dd-4479-780a-7fd0-5faac4ea6414,3.1.1 Long-term Climate Change ,3.1.1.h,4.0,"Other projected regional changes include intensification of tropical cyclones and/or extra tropical storms (medium confidence), and increases in aridity and fire weather (medium to high confidence).",Yes,extra,I,Positive,Positive_correlation,further global warming,extra tropical storms,,,global warming,tropical storms,,other projected regional changes,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,
750,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-e22431dd-4479-780a-7fd0-5faac4ea6415,3.1.1 Long-term Climate Change ,3.1.1.h,4.0,"Other projected regional changes include intensification of tropical cyclones and/or extra tropical storms (medium confidence), and increases in aridity and fire weather (medium to high confidence).",Yes,increases in,I,Positive,Positive_correlation,further global warming, aridity,,,global warming,aridity,,other projected regional changes,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
751,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q154-e22431dd-4479-780a-7fd0-5faac4ea6416,3.1.1 Long-term Climate Change ,3.1.1.h,4.0,"Other projected regional changes include intensification of tropical cyclones and/or extra tropical storms (medium confidence), and increases in aridity and fire weather (medium to high confidence).",Yes,increases in,I,Positive,Positive_correlation,further global warming,fire weather,,,global warming,fire weather,,other projected regional changes,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q313,medium to high confidence,
752,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-beee938c-4b2b-e7a4-fe45-0e231ed6a681,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,1.0,The largest climate finance gaps and opportunities are in developing countries.,No,,,,,,,,,,,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
753,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee16,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,a critical enabler,E,Positive,Positive_correlation,accelerated support from developed countries and multilateral institutions,enhanced mitigation and adaptation action,,,support from developed countries and multilateral institutions,mitigation and adaptation action,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
754,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee16,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,a critical enabler,E,Positive,Positive_correlation,accelerated support from developed countries,enhanced mitigation action,,,support from developed countries,mitigation action,accelerated support from developed countries and multilateral institutions,enhanced mitigation and adaptation action,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
755,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee15,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,a critical enabler,E,Positive,Positive_correlation,accelerated support from developed countries,enhanced adaptation action,,,support from developed countries,adaptation action,accelerated support from developed countries and multilateral institutions,enhanced mitigation and adaptation action,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
756,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee14,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,a critical enabler,E,Positive,Positive_correlation,accelerated support from multilateral institutions,enhanced mitigation action,,,support from multilateral institutions,mitigation action,accelerated support from developed countries and multilateral institutions,enhanced mitigation and adaptation action,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
757,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee13,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,a critical enabler,E,Positive,Positive_correlation,accelerated support from multilateral institutions,enhanced adaptation action,,,support from multilateral institutions,adaptation action,accelerated support from developed countries and multilateral institutions,enhanced mitigation and adaptation action,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
758,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee12,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,can address,E,Positive,Negative_correlation,accelerated support from developed countries,addressed inequities in finance of mitigation and adaptation action,,,support from developed countries,inequities in finance of mitigation and adaptation action,accelerated support from developed countries and multilateral institutions,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
759,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee11,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,can address,I,Positive,Negative_correlation,accelerated support from multilateral institutions,addressed inequities in finance of mitigation and adaptation action,,,support from multilateral institutions,inequities in finance of mitigation and adaptation action,accelerated support from developed countries and multilateral institutions,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
760,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee10,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,can address,E,Positive,Negative_correlation,accelerated support from developed countries,addressed inequities in the cost of mitigation and adaptation action,,,support from developed countries,inequities in the cost of mitigation and adaptation action,accelerated support from developed countries and multilateral institutions,addressed inequities in finance of mitigation and adaptation action,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
761,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee9,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,can address,E,Positive,Negative_correlation,accelerated support from multilateral institutions,addressed inequities in the cost of mitigation and adaptation action,,,support from multilateral institutions,inequities in the cost of mitigation and adaptation action,accelerated support from developed countries and multilateral institutions,addressed inequities in finance of mitigation and adaptation action,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
762,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee8,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,can address,E,Positive,Negative_correlation,accelerated support from developed countries,addressed inequities in the terms of mitigation and adaptation action,,,support from developed countries,inequities in the terms of mitigation and adaptation action,accelerated support from developed countries and multilateral institutions,addressed inequities in finance of mitigation and adaptation action,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
763,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee7,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,can address,E,Positive,Negative_correlation,accelerated support from multilateral institutions,addressed inequities in the terms of mitigation and adaptation action,,,support from multilateral institutions,inequities in the terms of mitigation and adaptation action,accelerated support from developed countries and multilateral institutions,addressed inequities in finance of mitigation and adaptation action,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
764,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee6,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,can address,E,Positive,Negative_correlation,accelerated support from developed countries,addressed inequities in the conditions of mitigation and adaptation action,,,support from developed countries,inequities in the conditions of mitigation and adaptation action,accelerated support from developed countries and multilateral institutions,addressed inequities in finance of mitigation and adaptation action,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
765,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee5,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,can address,E,Positive,Negative_correlation,accelerated support from multilateral institutions,addressed inequities in the conditions of mitigation and adaptation action,,,support from multilateral institutions,inequities in the conditions of mitigation and adaptation action,accelerated support from developed countries and multilateral institutions,addressed inequities in finance of mitigation and adaptation action,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
766,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee4,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,can address,E,Positive,Negative_correlation,accelerated support from developed countries,addressed economic vulnerability to climate change,,,support from developed countries,economic vulnerability to climate change,accelerated support from developed countries and multilateral institutions,addressed inequities in finance of mitigation and adaptation action,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
767,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee3,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,can address,E,Positive,Negative_correlation,accelerated support from multilateral institutions,addressed economic vulnerability to climate change,,,support from multilateral institutions,economic vulnerability to climate change,accelerated support from developed countries and multilateral institutions,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
768,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee2,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,high social returns,I,Positive,Positive_correlation,scaled-up public grants for mitigation and adaptation funding,high social returns in terms of access to basic energy,for vulnerable regions,,scale of public grants for mitigation and adaptation funding,social returns in terms of access to basic energy,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
769,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee2,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,high social returns,I,Positive,Positive_correlation,scaled-up public grants for mitigation and adaptation funding,high social returns in terms of access to basic energy,in Sub-Saharan Africa,,scale of public grants for mitigation and adaptation funding,social returns in terms of access to basic energy,,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
770,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee2,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,scaling up,I,Positive,Positive_correlation,increased levels of public finance,scaled up mitigation and adaptation,,in developing countries,levels of public finance,scale of public grants for mitigation and adaptation funding,options for scaling up mitigation and adaptation in developing countries,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
771,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee2,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,scaling up,I,Positive,Positive_correlation,increased levels of publicly mobilised private flows from developed to developing countries,scaled up mitigation and adaptation,,in developing countries,levels of publicly mobilised private flows from developed to developing countries,scale of public grants for mitigation and adaptation funding,options for scaling up mitigation and adaptation in developing countries,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
772,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee1,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,to reduce,E,Positive,Negative_correlation,increase in the use of public guarantees, reduction of risks,,,use of public guarantees,risks,options for scaling up mitigation and adaptation in developing countries,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
773,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee1,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,leverage,E,Positive,Positive_correlation,increase in the use of public guarantees,use of private flows at lower cost,,,use of public guarantees,use of private flows at lower cost,options for scaling up mitigation and adaptation in developing countries,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
774,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee1,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,scaling up,E,Positive,Positive_correlation,increase in the use of public guarantees,scaled up mitigation and adaptation,,,use of public guarantees,scale of mitigation and adaptation,options for scaling up mitigation and adaptation in developing countries,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
775,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee1,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,scaling up,I,Positive,Positive_correlation,use of private flows at lower cost,scaled up mitigation and adaptation,,,use of private flows at lower cost,scale of mitigation and adaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
776,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee1,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,scaling up,I,Positive,Negative_correlation,reduction of risks,scaled up mitigation and adaptation,,,risks,scale of mitigation and adaptation,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
777,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee1,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,scaling up,E,Positive,Positive_correlation,greater trust in international cooperation processes,scaled up mitigation and adaptation,,,trust in international cooperation processes,scale of mitigation and adaptation,options for scaling up mitigation and adaptation in developing countries,,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
778,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee0,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,can accelerate,I,Positive,Positive_correlation,increased flows of financing over this decade,a coordinated effort to make the post-pandemic recovery sustainable over the long term,,,flows of financing over this decade,a coordinated effort to make the post-pandemic recovery sustainable over the long term,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
779,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee0,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,can accelerate,I,Positive,Positive_correlation,a coordinated effort to make the post-pandemic recovery sustainable over the long term, accelerated climate action,,,a coordinated effort to make the post-pandemic recovery sustainable over the long term,speed of climate action,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
780,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q214-e5437efc-4cd0-bdf5-94ef-245741e81ee0,4.8.1 Finance for Mitigation and Adaptation Actions ,4.8.1.f,2.0,"Accelerated support from developed countries and multilateral institutions is a critical enabler to enhance mitigation and adaptation action and can address inequities in finance, including its costs, terms and conditions, and economic vulnerability to climate change. Scaled-up public grants for mitigation and adaptation funding for vulnerable regions, e.g., in Sub-Saharan Africa, would be cost-effective and have high social returns in terms of access to basic energy. Options for scaling up mitigation and adaptation in developing regions include: increased levels of public finance and publicly mobilised private finance flows from developed to developing countries in the context of the USD 100 billion-a-year goal of the Paris Agreement; increase the use of public guarantees to reduce risks and leverage private flows at lower cost; local capital markets development; and building greater trust in international cooperation processes. A coordinated effort to make the post-pandemic recovery sustainable over the long term through increased flows of financing over this decade can accelerate climate action, including in developing regions facing high debt costs, debt distress and macroeconomic uncertainty.",Yes,can accelerate,I,Positive,Positive_correlation,a coordinated effort to make the post-pandemic recovery sustainable over the long term, accelerated climate action,,"in developing regions facing high debt costs, debt distress and macroeconomic uncertainty",a coordinated effort to make the post-pandemic recovery sustainable over the long term,speed of climate action,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
781,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,caused,E,Positive,Positive_correlation,humans,climate change,,,Human activities,climate change,,human-caused climate change,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
782,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,is already affecting,E,Positive,Positive_correlation,human-caused climate change,effect on many weather extremes,,in every region across the globe,human-caused climate change,weather extremes,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
783,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,is already affecting,E,Positive,Positive_correlation,human-caused climate change,effect on many climate extremes,,in every region across the globe,human-caused climate change,climate extremes,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
784,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,effect on many weather extremes,widespread adverse impacts on food security,in every region across the globe,,weather extremes,food security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
785,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,effect on many weather extremes,widespread adverse impacts on water security,in every region across the globe,,weather extremes,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
786,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,effect on many weather extremes,widespread adverse impacts on human health,in every region across the globe,,weather extremes,human health,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
787,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,effect on many weather extremes,widespread adverse impacts on economies,in every region across the globe,,weather extremes,economies,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
788,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,effect on many weather extremes,widespread adverse impacts on society,in every region across the globe,,weather extremes,society,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
789,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,effect on many climate extremes,widespread adverse impacts on food security,in every region across the globe,,climate extremes,food security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
790,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,effect on many climate extremes,widespread adverse impacts on water security,in every region across the globe,,climate extremes,water security,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
791,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,effect on many climate extremes,widespread adverse impacts on human health,in every region across the globe,,climate extremes,human health,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
792,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,effect on many climate extremes,widespread adverse impacts on economies,in every region across the globe,,climate extremes,economies,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
793,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,effect on many climate extremes,widespread adverse impacts on society,in every region across the globe,,climate extremes,society,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
794,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on food security,losses to nature,in every region across the globe,,food security,losses to nature,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
795,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on food security,losses to people,in every region across the globe,,food security,losses to people,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
796,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on food security,damages to nature,in every region across the globe,,food security,damages to nature,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
797,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on food security,damages to people,in every region across the globe,,food security,damages to people,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
798,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on water security,losses to nature,in every region across the globe,,water security,losses to nature,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
799,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on water security,losses to people,in every region across the globe,,water security,losses to people,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
800,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on water security,damages to nature,in every region across the globe,,water security,damages to nature,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
801,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on water security,damages to people,in every region across the globe,,water security,damages to people,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
802,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on human health,losses to nature,in every region across the globe,,human health,losses to nature,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
803,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on human health,losses to people,in every region across the globe,,human health,losses to people,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
804,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on human health,damages to nature,in every region across the globe,,human health,damages to nature,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
805,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on human health,damages to people,in every region across the globe,,human health,damages to people,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
806,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on economies,losses to nature,in every region across the globe,,economies,losses to nature,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
807,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on economies,losses to people,in every region across the globe,,economies,losses to people,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
808,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on economies,damages to nature,in every region across the globe,,economies,damages to nature,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
809,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on economies,damages to people,in every region across the globe,,economies,damages to people,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
810,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on society,losses to nature,in every region across the globe,,society,losses to nature,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
811,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on society,losses to people,in every region across the globe,,society,losses to people,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
812,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on society,damages to nature,in every region across the globe,,society,damages to nature,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
813,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,2.0,"Human-caused climate change is already affecting many weather and climate extremes in every region across the globe. This has led to widespread adverse impacts on food and water security, human health and on economies and society and related losses and damages to nature and people.",Yes,has led to,E,Positive,Negative_correlation,widespread adverse impacts on society,damages to people,in every region across the globe,,society,damages to people,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
814,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-B3261C4F-9707-4079-AB1B-E2941B69EB3C,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,2.0,"Although overall agricultural productivity has increased, climate change has slowed this growth in agricultural productivity over the past 50 years globally (medium confidence), with related negative crop yield impacts mainly recorded in mid- and low latitude regions, and some positive impacts in some high latitude regions (high confidence).",Yes,has slowed,E,Positive,Negative_correlation,climate change,slowed growth in overall agricultural productivity,,over the past 50 years globally,climate change,growth in overall agricultural productivity,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,medium confidence,
815,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-B3261C4F-9707-4079-AB1B-E2941B69EB3C,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,2.0,"Although overall agricultural productivity has increased, climate change has slowed this growth in agricultural productivity over the past 50 years globally (medium confidence), with related negative crop yield impacts mainly recorded in mid- and low latitude regions, and some positive impacts in some high latitude regions (high confidence).",Yes,impacts,I,Positive,Positive_correlation,slowed growth in overall agricultural productivity,negative crop yield impacts,over the past 50 years globally,in mid latitude regions,growth in overall agricultural productivity,crop yield impacts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
816,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-B3261C4F-9707-4079-AB1B-E2941B69EB3C,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,2.0,"Although overall agricultural productivity has increased, climate change has slowed this growth in agricultural productivity over the past 50 years globally (medium confidence), with related negative crop yield impacts mainly recorded in mid- and low latitude regions, and some positive impacts in some high latitude regions (high confidence).",Yes,impacts,I,Positive,Positive_correlation,slowed growth in overall agricultural productivity,negative crop yield impacts,over the past 50 years globally,in low latitude regions,growth in overall agricultural productivity,crop yield impacts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
817,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-B3261C4F-9707-4079-AB1B-E2941B69EB3C,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,2.0,"Although overall agricultural productivity has increased, climate change has slowed this growth in agricultural productivity over the past 50 years globally (medium confidence), with related negative crop yield impacts mainly recorded in mid- and low latitude regions, and some positive impacts in some high latitude regions (high confidence).",Yes,impacts,I,Positive,Negative_correlation,slowed growth in overall agricultural productivity,some positive crop yield impacts,over the past 50 years globally,in some high latitude regions,growth in overall agricultural productivity,crop yield impacts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
818,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-F98361D4-ADEB-4FB5-8C38-8197072EB778,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,6.0,"Unsustainable agricultural expansion, driven in part by unbalanced diets, increases ecosystem and human vulnerability and leads to competition for land and/or water resources (high confidence).",Yes,driven in part by,E,Positive,Positive_correlation,unbalanced diets,unsustainable agricultural expansion,,,unbalanced diets,unsustainable agricultural expansion,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
819,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-F98361D4-ADEB-4FB5-8C38-8197072EB778,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,6.0,"Unsustainable agricultural expansion, driven in part by unbalanced diets, increases ecosystem and human vulnerability and leads to competition for land and/or water resources (high confidence).",Yes,increases,E,Positive,Positive_correlation,unsustainable agricultural expansion,increased ecosystem vulnerability,,,unsustainable agricultural expansion,ecosystem vulnerability,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
820,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-F98361D4-ADEB-4FB5-8C38-8197072EB778,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,6.0,"Unsustainable agricultural expansion, driven in part by unbalanced diets, increases ecosystem and human vulnerability and leads to competition for land and/or water resources (high confidence).",Yes,increases,E,Positive,Positive_correlation,unsustainable agricultural expansion,increased human vulnerability,,,unsustainable agricultural expansion,human vulnerability,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
821,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-F98361D4-ADEB-4FB5-8C38-8197072EB778,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,6.0,"Unsustainable agricultural expansion, driven in part by unbalanced diets, increases ecosystem and human vulnerability and leads to competition for land and/or water resources (high confidence).",Yes,leads to,E,Positive,Positive_correlation,unsustainable agricultural expansion,competition for land resources,,,unsustainable agricultural expansion,competition for land resources,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
822,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q49-F98361D4-ADEB-4FB5-8C38-8197072EB778,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.d,6.0,"Unsustainable agricultural expansion, driven in part by unbalanced diets, increases ecosystem and human vulnerability and leads to competition for land and/or water resources (high confidence).",Yes,leads to,E,Positive,Positive_correlation,unsustainable agricultural expansion,competition for water resources,,,unsustainable agricultural expansion,competition for water resources,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
823,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-93e24cdf-4364-9e8e-655c-9c3bc254dead,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,6.0,"Impacts on some ecosystems are approaching irreversibility such as the impacts of hydrological changes resulting from the retreat of glaciers, or the changes in some mountain [..] ecosystems driven by permafrost thaw.",Yes,resulting from,E,Positive,Positive_correlation,retreat of glaciers,impacts of hydrological changes,,,retreat of glaciers,impacts of hydrological changes,,impacts on some ecosystems,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,No
824,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q31-93e24cdf-4364-9e8e-655c-9c3bc254dead,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.c,6.0,"Impacts on some ecosystems are approaching irreversibility such as the impacts of hydrological changes resulting from the retreat of glaciers, or the changes in some mountain [..] ecosystems driven by permafrost thaw.",Yes,driven by,E,Positive,Positive_correlation,permafrost thaw,changes in some mountain ecosystems,,,permafrost thaw,changes in some mountain ecosystems,,impacts on some ecosystems,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q16,medium confidence,No
825,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q101-2da3a440-4ee1-ec4f-b99f-cc456ee2f24e,2.1.1 Observed Warming and its Causes,2.1.1.b,1.0,"Observed increases in well-mixed GHG concentrations since around 1750 are unequivocally caused by GHG emissions from human activities. Land and ocean sinks have taken up a near-constant proportion (globally about 56% per year) of CO2 emissions from human activities over the past six decades, with regional differences.",Yes,caused by,E,Positive,Positive_correlation,greenhouse gases emissions,increases in well-mixed greenhouse gases concentrations,,since around 1750,greenhouse gases emissions,well-mixed greenhouse gases concentrations,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
826,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q101-2da3a440-4ee1-ec4f-b99f-cc456ee2f24e,2.1.1 Observed Warming and its Causes,2.1.1.b,1.0,"Observed increases in well-mixed GHG concentrations since around 1750 are unequivocally caused by GHG emissions from human activities. Land and ocean sinks have taken up a near-constant proportion (globally about 56% per year) of CO2 emissions from human activities over the past six decades, with regional differences.",Yes,/,I,Positive,Positive_correlation,human activities,increases in well-mixed greenhouse gases concentrations,,since around 1750,human activities,well-mixed greenhouse gases concentrations,,,GHG: greenhouse gas,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
827,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q101-2da3a440-4ee1-ec4f-b99f-cc456ee2f24e,2.1.1 Observed Warming and its Causes,2.1.1.b,1.0,"Observed increases in well-mixed GHG concentrations since around 1750 are unequivocally caused by GHG emissions from human activities. Land and ocean sinks have taken up a near-constant proportion (globally about 56% per year) of CO2 emissions from human activities over the past six decades, with regional differences.",Yes,from,E,Positive,Positive_correlation,human activities,greenhouse gases emissions,,,human activities,greenhouse gases emissions,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
828,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q101-2da3a440-4ee1-ec4f-b99f-cc456ee2f24e,2.1.1 Observed Warming and its Causes,2.1.1.b,1.0,"Observed increases in well-mixed GHG concentrations since around 1750 are unequivocally caused by GHG emissions from human activities. Land and ocean sinks have taken up a near-constant proportion (globally about 56% per year) of CO2 emissions from human activities over the past six decades, with regional differences.",Yes,from,E,Positive,Positive_correlation,human activities,carbon dioxide emissions,,,human activities,carbon dioxide emissions,,,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
829,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q101-777c640c-4997-9e51-252c-d305174f36e5,2.1.1 Observed Warming and its Causes,2.1.1.b,4.0,The net cooling effect which arises from anthropogenic aerosols peaked in the late 20th century.,Yes,arises from,E,Positive,Positive_correlation,anthropogenic aerosols,net cooling effect,,,anthropogenic aerosols,net cooling effect,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
830,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q101-777c640c-4997-9e51-252c-d305174f36e5,2.1.1 Observed Warming and its Causes,2.1.1.b,4.0,The net cooling effect which arises from anthropogenic aerosols peaked in the late 20th century.,Yes,anthropogenic,I,Positive,Positive_correlation,humans,aerosols,,,human activities,aerosols,,anthropogenic aerosols,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
831,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-ed018ead-4e78-e511-d571-978a56763474,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.d,1.0,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives, would yield multiple benefits for human well-being as well as ecosystem and planetary health.",Yes,yield,E,Positive,Positive_correlation,mitigation,multiple benefits for human well-being,,,mitigation,benefits for human well-being,"mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
832,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-ed018ead-4e78-e511-d571-978a56763474,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.d,1.0,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives, would yield multiple benefits for human well-being as well as ecosystem and planetary health.",Yes,yield,E,Positive,Positive_correlation,mitigation,multiple benefits for ecosystem health,,,mitigation,benefits for ecosystem health,"mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
833,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-ed018ead-4e78-e511-d571-978a56763474,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.d,1.0,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives, would yield multiple benefits for human well-being as well as ecosystem and planetary health.",Yes,yield,E,Positive,Positive_correlation,mitigation,multiple benefits for planetary health,,,mitigation,benefits for planetary health,"mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
834,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-ed018ead-4e78-e511-d571-978a56763474,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.d,1.0,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives, would yield multiple benefits for human well-being as well as ecosystem and planetary health.",Yes,yield,E,Positive,Positive_correlation,adaptation,multiple benefits for human well-being,,,adaptation,benefits for human well-being,"mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
835,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-ed018ead-4e78-e511-d571-978a56763474,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.d,1.0,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives, would yield multiple benefits for human well-being as well as ecosystem and planetary health.",Yes,yield,E,Positive,Positive_correlation,adaptation,multiple benefits for ecosystem health,,,adaptation,benefits for ecosystem health,"mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
836,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-ed018ead-4e78-e511-d571-978a56763474,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.d,1.0,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives, would yield multiple benefits for human well-being as well as ecosystem and planetary health.",Yes,yield,E,Positive,Positive_correlation,adaptation,multiple benefits for planetary health,,,adaptation,benefits for planetary health,"mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
837,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-ed018ead-4e78-e511-d571-978a56763474,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.d,1.0,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives, would yield multiple benefits for human well-being as well as ecosystem and planetary health.",Yes,yield,E,Positive,Positive_correlation,Broader sustainable development objectives,multiple benefits for planetary health,,,sustainable development objectives,benefits for planetary health,"mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
838,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-ed018ead-4e78-e511-d571-978a56763474,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.d,1.0,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives, would yield multiple benefits for human well-being as well as ecosystem and planetary health.",Yes,yield,E,Positive,Positive_correlation,Broader sustainable development objectives,multiple benefits for human well-being,,,sustainable development objectives,benefits for human well-being,"mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
839,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-ed018ead-4e78-e511-d571-978a56763474,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.d,1.0,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives, would yield multiple benefits for human well-being as well as ecosystem and planetary health.",Yes,yield,E,Positive,Positive_correlation,Broader sustainable development objectives,multiple benefits for ecosystem health,,,sustainable development objectives,benefits for ecosystem health,"mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",,,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
840,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-ed018ead-4e78-e511-d571-978a56763474,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.d,1.0,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives, would yield multiple benefits for human well-being as well as ecosystem and planetary health.",Yes,yield,E,Positive,Positive_correlation,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",multiple benefits for human well-being,,,"mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",benefits for human well-being,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
841,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-ed018ead-4e78-e511-d571-978a56763474,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.d,1.0,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives, would yield multiple benefits for human well-being as well as ecosystem and planetary health.",Yes,yield,E,Positive,Positive_correlation,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",multiple benefits for ecosystem health,,,"mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",benefits for ecosystem health,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
842,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q232-ed018ead-4e78-e511-d571-978a56763474,4.9 Integration of Near-Term Actions Across Sectors and Systems,4.9.d,1.0,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives, would yield multiple benefits for human well-being as well as ecosystem and planetary health.",Yes,yield,E,Positive,Positive_correlation,"Mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",multiple benefits for planetary health,,,"mitigation and adaptation when implemented together, and combined with broader sustainable development objectives",benefits for planetary health,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
843,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff4,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,lead to,E,Positive,Positive_correlation,combined changes in Short-Lived Climate Forcers emissions,net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019,,In high and very high greenhouse gases emissions scenarios (SSP3-7.0 and SSP5-8.5),combined changes in Short-Lived Climate Forcers emissions,net global warming,,,SLCF = Short-Lived Climate Forcers; GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
844,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff4,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,lead to,E,Positive,Positive_correlation,changes in methane emissions,net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019,,In high and very high greenhouse gases emissions scenarios (SSP3-7.0 and SSP5-8.5),changes in methane emissions,net global warming,combined changes in Short-Lived Climate Forcers emissions,,SLCF = Short-Lived Climate Forcers; GHG = greenhouse gases; CH4 = methane,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
845,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff4,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,lead to,E,Positive,Positive_correlation,changes in aerosol emissions,net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019,,In high and very high greenhouse gases emissions scenarios (SSP3-7.0 and SSP5-8.5),changes in aerosol emissions,net global warming,combined changes in Short-Lived Climate Forcers emissions,,SLCF = Short-Lived Climate Forcers; GHG = greenhouse gases,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
846,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff4,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,lead to,E,Positive,Positive_correlation,changes in ozone precursors emissions,net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019,,In high and very high greenhouse gases emissions scenarios (SSP3-7.0 and SSP5-8.5),changes in ozone precursors emissions,net global warming,combined changes in Short-Lived Climate Forcers emissions,,SLCF = Short-Lived Climate Forcers; GHG = greenhouse gases,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
847,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff3,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,due to,E,Positive,Positive_correlation,increases in atmospheric concentration of methane,changes in short-lived climate forcers,,,atmospheric concentration of methane,changes in short-lived climate forcers,,combined changes in Short-Lived Climate Forcers emissions,SLCF = Short-Lived Climate Forcers; CH4 = methane; GHG = greenhouse gases,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
848,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff3,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,due to,E,Positive,Positive_correlation,increases in atmospheric concentration of tropospheric ozone,changes in short-lived climate forcers,,,atmospheric concentration of tropospheric ozone,changes in short-lived climate forcers,,combined changes in Short-Lived Climate Forcers emissions,SLCF = Short-Lived Climate Forcers; GHG = greenhouse gases,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
849,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff3,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,due to,E,Positive,Positive_correlation,increases in atmospheric concentration of hydrofluorocarbons,changes in short-lived climate forcers,,,atmospheric concentration of hydrofluorocarbons,changes in short-lived climate forcers,,combined changes in Short-Lived Climate Forcers emissions,SLCF = Short-Lived Climate Forcers; GHG = greenhouse gases,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
850,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff3,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,due to,E,Positive,Negative_correlation,reductions of cooling aerosols,changes in short-lived climate forcers,,,cooling aerosols,changes in short-lived climate forcers,,combined changes in Short-Lived Climate Forcers emissions,SLCF = Short-Lived Climate Forcers; GHG = greenhouse gases,Yes,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
851,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff3,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,due to,E,Positive,Positive_correlation,increases in atmospheric concentration of methane,net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019,,In high and very high greenhouse gases emissions scenarios (SSP3-7.0 and SSP5-8.5),atmospheric concentration of methane,net global warming,,,CH4 = methane; GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
852,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff2,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,due to,E,Positive,Positive_correlation,increases in atmospheric concentration of tropospheric ozone,net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019,,In high and very high greenhouse gases emissions scenarios (SSP3-7.0 and SSP5-8.5),atmospheric concentration of tropospheric ozone,net global warming,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
853,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff1,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,due to,E,Positive,Positive_correlation,increases in atmospheric concentration of hydrofluorocarbons,net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019,,In high and very high greenhouse gases emissions scenarios (SSP3-7.0 and SSP5-8.5),atmospheric concentration of hydrofluorocarbons,net global warming,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
854,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff0,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,due to,E,Positive,Negative_correlation,reductions of cooling aerosols,net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019,when strong air pollution control is considered,In high and very high greenhouse gases emissions scenarios (SSP3-7.0 and SSP5-8.5),cooling aerosols,net global warming,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
855,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff1,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,lead to,E,Positive,Positive_correlation,air pollution control policies,net cooling,,In low and very low greenhouse gases emissions scenarios (SSP1- 1.9 and SSP1-2.6),air pollution control policies,net cooling,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
856,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff2,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,lead to,E,Positive,Negative_correlation,reductions in methane,net cooling,,In low and very low greenhouse gases emissions scenarios (SSP1- 1.9 and SSP1-2.6),methane,net cooling,,,GHG = greenhouse gases; CH4 = methane,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
857,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff3,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,lead to,I,Positive,Negative_correlation,reductions of ozone precursors,net cooling,,In low and very low greenhouse gases emissions scenarios (SSP1- 1.9 and SSP1-2.6),ozone precursors,net cooling,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
858,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff4,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,lead to,E,Positive,Negative_correlation,reductions in anthropogenic cooling aerosols,net warming,,In low and very low greenhouse gases emissions scenarios (SSP1- 1.9 and SSP1-2.6),anthropogenic cooling aerosols,net warming,,,GHG = greenhouse gases,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
859,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff3,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,lead to,E,Positive,Negative_correlation,reductions of ozone precursors other than methane,net cooling,,In low and very low greenhouse gases emissions scenarios (SSP1- 1.9 and SSP1-2.6),ozone precursors other than methane,net cooling,,,GHG = greenhouse gases; CH4 = methane,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
860,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q152-1176a5e6-400e-2cc7-61dc-dcf5f9ae4ff4,3.1.1 Long-term Climate Change ,3.1.1.f,3.0,"In high and very high GHG emissions scenarios (SSP3-7.0 and SSP5-8.5), combined changes in SLCF emissions, such as CH4, aerosol and ozone precursors, lead to a net global warming by 2100 of likely 0.4°C–0.9°C relative to 2019. This is due to projected increases in atmospheric concentration of CH4, tropospheric ozone, hydrofluorocarbons and, when strong air pollution control is considered, reductions of cooling aerosols. In low and very low GHG emissions scenarios (SSP1- 1.9 and SSP1-2.6), air pollution control policies, reductions in CH4 and other ozone precursors lead to a net cooling, whereas reductions in anthropogenic cooling aerosols lead to a net warming.",Yes,anthropogenic,I,Positive,Positive_correlation,humans,cooling aerosols,,,human activities,cooling aerosols,,anthropogenic cooling aerosols,GHG = greenhouse gases,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
861,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q103-e7838c5b-4d91-5c1a-36d5-bea860d55f4c,2.1.1 Observed Warming and its Causes,2.1.1.g,1.0,"Regional contributions to global human-caused GHG emissions continue to differ widely. Historical contributions of CO2 emissions vary substantially across regions in terms of total magnitude, but also in terms of contributions to CO2-FFI (1650 ± 73 GtCO2-eq) and net CO2-LULUCF (760 ± 220 GtCO2-eq) emissions (Figure 2.2). Variations in regional and national per capita emissions partly reflect different development stages, but they also vary widely at similar income levels. Average per capita net anthropogenic GHG emissions in 2019 ranged from 2.6 tCO2-eq to 19 tCO2-eq across regions (Figure 2.2). Least developed countries (LDCs) and Small Island Developing States (SIDS) have much lower per capita emissions (1.7 tCO2- eq and 4.6 tCO2-eq, respectively) than the global average (6.9 tCO2-eq), excluding CO2-LULUCF. Around 48% of the global population in 2019 lives in countries emitting on average more than 6 tCO2-eq per capita, 35% of the global population live in countries emitting more than 9 tCO2-eq per capita13(excluding CO2- LULUCF) while another 41% live in countries emitting less than 3 tCO2-eq per capita. A substantial share of the population in these low-emitting countries lack access to modern energy services.",Yes,caused,E,Positive,Positive_correlation,humans,greenhouse gases emissions,,,human activities,greenhouse gases emissions,,human-caused greenhouse gases emissions,GHG = greenhouse gases,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
862,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q241-9acd53e9-4c97-c7be-aa88-7cd85a3a3eb0,2.1.1 Observed Warming and its Causes,2.1.1.g,1.0,"Regional contributions to global human-caused GHG emissions continue to differ widely. Historical contributions of CO2 emissions vary substantially across regions in terms of total magnitude, but also in terms of contributions to CO2-FFI (1650 ± 73 GtCO2-eq) and net CO2-LULUCF (760 ± 220 GtCO2-eq) emissions (Figure 2.2). Variations in regional and national per capita emissions partly reflect different development stages, but they also vary widely at similar income levels. Average per capita net anthropogenic GHG emissions in 2019 ranged from 2.6 tCO2-eq to 19 tCO2-eq across regions (Figure 2.2). Least developed countries (LDCs) and Small Island Developing States (SIDS) have much lower per capita emissions (1.7 tCO2- eq and 4.6 tCO2-eq, respectively) than the global average (6.9 tCO2-eq), excluding CO2-LULUCF. Around 48% of the global population in 2019 lives in countries emitting on average more than 6 tCO2-eq per capita, 35% of the global population live in countries emitting more than 9 tCO2-eq per capita13(excluding CO2- LULUCF) while another 41% live in countries emitting less than 3 tCO2-eq per capita. A substantial share of the population in these low-emitting countries lack access to modern energy services.",Yes,CO2-FFI,I,Positive,Positive_correlation,fossil fuel combustion,carbon dioxide emission,,,fossil fuel combustion,carbon dioxide emission,,CO2-FFI,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
863,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q241-9acd53e9-4c97-c7be-aa88-7cd85a3a3eb0,2.1.1 Observed Warming and its Causes,2.1.1.g,1.0,"Regional contributions to global human-caused GHG emissions continue to differ widely. Historical contributions of CO2 emissions vary substantially across regions in terms of total magnitude, but also in terms of contributions to CO2-FFI (1650 ± 73 GtCO2-eq) and net CO2-LULUCF (760 ± 220 GtCO2-eq) emissions (Figure 2.2). Variations in regional and national per capita emissions partly reflect different development stages, but they also vary widely at similar income levels. Average per capita net anthropogenic GHG emissions in 2019 ranged from 2.6 tCO2-eq to 19 tCO2-eq across regions (Figure 2.2). Least developed countries (LDCs) and Small Island Developing States (SIDS) have much lower per capita emissions (1.7 tCO2- eq and 4.6 tCO2-eq, respectively) than the global average (6.9 tCO2-eq), excluding CO2-LULUCF. Around 48% of the global population in 2019 lives in countries emitting on average more than 6 tCO2-eq per capita, 35% of the global population live in countries emitting more than 9 tCO2-eq per capita13(excluding CO2- LULUCF) while another 41% live in countries emitting less than 3 tCO2-eq per capita. A substantial share of the population in these low-emitting countries lack access to modern energy services.",Yes,CO2-FFI,I,Positive,Positive_correlation,industrial processes,carbon dioxide emission,,,industrial processes,carbon dioxide emission,,CO2-FFI,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
864,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q241-9acd53e9-4c97-c7be-aa88-7cd85a3a3eb0,2.1.1 Observed Warming and its Causes,2.1.1.g,1.0,"Regional contributions to global human-caused GHG emissions continue to differ widely. Historical contributions of CO2 emissions vary substantially across regions in terms of total magnitude, but also in terms of contributions to CO2-FFI (1650 ± 73 GtCO2-eq) and net CO2-LULUCF (760 ± 220 GtCO2-eq) emissions (Figure 2.2). Variations in regional and national per capita emissions partly reflect different development stages, but they also vary widely at similar income levels. Average per capita net anthropogenic GHG emissions in 2019 ranged from 2.6 tCO2-eq to 19 tCO2-eq across regions (Figure 2.2). Least developed countries (LDCs) and Small Island Developing States (SIDS) have much lower per capita emissions (1.7 tCO2- eq and 4.6 tCO2-eq, respectively) than the global average (6.9 tCO2-eq), excluding CO2-LULUCF. Around 48% of the global population in 2019 lives in countries emitting on average more than 6 tCO2-eq per capita, 35% of the global population live in countries emitting more than 9 tCO2-eq per capita13(excluding CO2- LULUCF) while another 41% live in countries emitting less than 3 tCO2-eq per capita. A substantial share of the population in these low-emitting countries lack access to modern energy services.",Yes,CO2-LULUCF,I,Positive,Positive_correlation,land use sector,carbon dioxide emission,,,land use sector,carbon dioxide emission,,CO2-LULUCF,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
865,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q241-9acd53e9-4c97-c7be-aa88-7cd85a3a3eb0,2.1.1 Observed Warming and its Causes,2.1.1.g,1.0,"Regional contributions to global human-caused GHG emissions continue to differ widely. Historical contributions of CO2 emissions vary substantially across regions in terms of total magnitude, but also in terms of contributions to CO2-FFI (1650 ± 73 GtCO2-eq) and net CO2-LULUCF (760 ± 220 GtCO2-eq) emissions (Figure 2.2). Variations in regional and national per capita emissions partly reflect different development stages, but they also vary widely at similar income levels. Average per capita net anthropogenic GHG emissions in 2019 ranged from 2.6 tCO2-eq to 19 tCO2-eq across regions (Figure 2.2). Least developed countries (LDCs) and Small Island Developing States (SIDS) have much lower per capita emissions (1.7 tCO2- eq and 4.6 tCO2-eq, respectively) than the global average (6.9 tCO2-eq), excluding CO2-LULUCF. Around 48% of the global population in 2019 lives in countries emitting on average more than 6 tCO2-eq per capita, 35% of the global population live in countries emitting more than 9 tCO2-eq per capita13(excluding CO2- LULUCF) while another 41% live in countries emitting less than 3 tCO2-eq per capita. A substantial share of the population in these low-emitting countries lack access to modern energy services.",Yes,CO2-LULUCF,I,Positive,Positive_correlation,land-use change sector,carbon dioxide emission,,,land-use change sector,carbon dioxide emission,,CO2-LULUCF,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
866,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q241-9acd53e9-4c97-c7be-aa88-7cd85a3a3eb0,2.1.1 Observed Warming and its Causes,2.1.1.g,1.0,"Regional contributions to global human-caused GHG emissions continue to differ widely. Historical contributions of CO2 emissions vary substantially across regions in terms of total magnitude, but also in terms of contributions to CO2-FFI (1650 ± 73 GtCO2-eq) and net CO2-LULUCF (760 ± 220 GtCO2-eq) emissions (Figure 2.2). Variations in regional and national per capita emissions partly reflect different development stages, but they also vary widely at similar income levels. Average per capita net anthropogenic GHG emissions in 2019 ranged from 2.6 tCO2-eq to 19 tCO2-eq across regions (Figure 2.2). Least developed countries (LDCs) and Small Island Developing States (SIDS) have much lower per capita emissions (1.7 tCO2- eq and 4.6 tCO2-eq, respectively) than the global average (6.9 tCO2-eq), excluding CO2-LULUCF. Around 48% of the global population in 2019 lives in countries emitting on average more than 6 tCO2-eq per capita, 35% of the global population live in countries emitting more than 9 tCO2-eq per capita13(excluding CO2- LULUCF) while another 41% live in countries emitting less than 3 tCO2-eq per capita. A substantial share of the population in these low-emitting countries lack access to modern energy services.",Yes,CO2-LULUCF,I,Positive,Positive_correlation,forestry sector,carbon dioxide emission,,,forestry sector,carbon dioxide emission,,CO2-LULUCF,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
867,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q241-9acd53e9-4c97-c7be-aa88-7cd85a3a3eb0,2.1.1 Observed Warming and its Causes,2.1.1.g,1.0,"Regional contributions to global human-caused GHG emissions continue to differ widely. Historical contributions of CO2 emissions vary substantially across regions in terms of total magnitude, but also in terms of contributions to CO2-FFI (1650 ± 73 GtCO2-eq) and net CO2-LULUCF (760 ± 220 GtCO2-eq) emissions (Figure 2.2). Variations in regional and national per capita emissions partly reflect different development stages, but they also vary widely at similar income levels. Average per capita net anthropogenic GHG emissions in 2019 ranged from 2.6 tCO2-eq to 19 tCO2-eq across regions (Figure 2.2). Least developed countries (LDCs) and Small Island Developing States (SIDS) have much lower per capita emissions (1.7 tCO2- eq and 4.6 tCO2-eq, respectively) than the global average (6.9 tCO2-eq), excluding CO2-LULUCF. Around 48% of the global population in 2019 lives in countries emitting on average more than 6 tCO2-eq per capita, 35% of the global population live in countries emitting more than 9 tCO2-eq per capita13(excluding CO2- LULUCF) while another 41% live in countries emitting less than 3 tCO2-eq per capita. A substantial share of the population in these low-emitting countries lack access to modern energy services.",Yes,anthropogenic,I,Positive,Positive_correlation,humans,greenhouse gases emissions,,,human activities,greenhouse gases emissions,,anthropogenic greenhouse gases emissions,CO2 = carbon dioxide,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
868,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d3,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,7.0,"Between 2010 and 2020, human mortality from floods, droughts and storms was 15 times higher in highly vulnerable regions, compared to regions with very low vulnerability.",Yes,from,E,Positive,Positive_correlation,Floods,Human mortality,,,floods,human mortality,,human mortality from floods,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
869,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d3,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,7.0,"Between 2010 and 2020, human mortality from floods, droughts and storms was 15 times higher in highly vulnerable regions, compared to regions with very low vulnerability.",Yes,from,E,Positive,Positive_correlation,Droughts,Human mortality,,,droughts,human mortality,,human mortality from droughts,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
870,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d3,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,7.0,"Between 2010 and 2020, human mortality from floods, droughts and storms was 15 times higher in highly vulnerable regions, compared to regions with very low vulnerability.",Yes,from,E,Positive,Positive_correlation,Storms,Human mortality,,,storms,human mortality,,human mortality from storms,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,Yes
871,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d6,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,7.0,"Between 2010 and 2020, human mortality from floods, droughts and storms was 15 times higher in highly vulnerable regions, compared to regions with very low vulnerability.",Yes,/,I,Positive,Positive_correlation,higher vulnerability of a region to climatic hazards,higher human mortality from floods,,,vulnerability to climatic hazards,human mortality from floods,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
872,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d7,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,7.0,"Between 2010 and 2020, human mortality from floods, droughts and storms was 15 times higher in highly vulnerable regions, compared to regions with very low vulnerability.",Yes,/,I,Positive,Positive_correlation,higher vulnerability of a region to climatic hazards,higher human mortality from droughts,,,vulnerability to climatic hazards,human mortality from droughts,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
873,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q114-fe297ae8-43e1-be2b-6095-956f085d00d8,2.1.2 Observed Climate System Changes and Impacts to Date,2.1.2.l,7.0,"Between 2010 and 2020, human mortality from floods, droughts and storms was 15 times higher in highly vulnerable regions, compared to regions with very low vulnerability.",Yes,/,I,Positive,Positive_correlation,higher vulnerability of a region to climatic hazards,higher human mortality from storms,,,vulnerability to climatic hazards,human mortality from storms,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
874,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5dff62ac-461f-0bc7-a1fc-245302cd5afb,2.1.1 Observed Warming and its Causes,,1.0,"Human activities, principally through emissions of greenhouse gases, have unequivocally caused global warming, with global surface temperature reaching 1.1°C above 1850–1900 in 2011–2020. Global greenhouse gas emissions have continued to increase over 2010–2019, with unequal historical and ongoing contributions arising from unsustainable energy use, land use and land-use change, lifestyles and patterns of consumption and productionacross regions, between and within countries, and between individuals.",Yes,through,E,Positive,Positive_correlation,human activities,emissions of greenhouse gases,,,human activities,emissions of greenhouse gases,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
875,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5dff62ac-461f-0bc7-a1fc-245302cd5afb,2.1.1 Observed Warming and its Causes,,1.0,"Human activities, principally through emissions of greenhouse gases, have unequivocally caused global warming, with global surface temperature reaching 1.1°C above 1850–1900 in 2011–2020. Global greenhouse gas emissions have continued to increase over 2010–2019, with unequal historical and ongoing contributions arising from unsustainable energy use, land use and land-use change, lifestyles and patterns of consumption and productionacross regions, between and within countries, and between individuals.",Yes,have unequivocally caused,E,Positive,Positive_correlation,human activities,global warming,,,human activities,global warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
876,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5dff62ac-461f-0bc7-a1fc-245302cd5afb,2.1.1 Observed Warming and its Causes,,1.0,"Human activities, principally through emissions of greenhouse gases, have unequivocally caused global warming, with global surface temperature reaching 1.1°C above 1850–1900 in 2011–2020. Global greenhouse gas emissions have continued to increase over 2010–2019, with unequal historical and ongoing contributions arising from unsustainable energy use, land use and land-use change, lifestyles and patterns of consumption and productionacross regions, between and within countries, and between individuals.",Yes,have unequivocally caused,E,Positive,Positive_correlation,emissions of greenhouse gases,global warming,,,emissions of greenhouse gases,global warming,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,
877,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5dff62ac-461f-0bc7-a1fc-245302cd5afb,2.1.1 Observed Warming and its Causes,,1.0,"Human activities, principally through emissions of greenhouse gases, have unequivocally caused global warming, with global surface temperature reaching 1.1°C above 1850–1900 in 2011–2020. Global greenhouse gas emissions have continued to increase over 2010–2019, with unequal historical and ongoing contributions arising from unsustainable energy use, land use and land-use change, lifestyles and patterns of consumption and productionacross regions, between and within countries, and between individuals.",Yes,caused,E,Positive,Positive_correlation,human activities,global surface temperatures reaching 1.1°C above 1850–1900,,in 2011-2020,human activities,global surface temperatures,,global warming,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
878,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5dff62ac-461f-0bc7-a1fc-245302cd5afb,2.1.1 Observed Warming and its Causes,,1.0,"Human activities, principally through emissions of greenhouse gases, have unequivocally caused global warming, with global surface temperature reaching 1.1°C above 1850–1900 in 2011–2020. Global greenhouse gas emissions have continued to increase over 2010–2019, with unequal historical and ongoing contributions arising from unsustainable energy use, land use and land-use change, lifestyles and patterns of consumption and productionacross regions, between and within countries, and between individuals.",Yes,/,I,Positive,Positive_correlation,Human activities,continued increase in global greenhouse gas emissions,,over 2010–2019,human activities,global greenhouse gas emissions,,emissions of greenhouse gases,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
879,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5dff62ac-461f-0bc7-a1fc-245302cd5afb,2.1.1 Observed Warming and its Causes,,1.0,"Human activities, principally through emissions of greenhouse gases, have unequivocally caused global warming, with global surface temperature reaching 1.1°C above 1850–1900 in 2011–2020. Global greenhouse gas emissions have continued to increase over 2010–2019, with unequal historical and ongoing contributions arising from unsustainable energy use, land use and land-use change, lifestyles and patterns of consumption and productionacross regions, between and within countries, and between individuals.",Yes,unequal historical and ongoing contributions arising from,E,Positive,Positive_correlation,unsustainable energy use,continued increase in global greenhouse gas emissions,,over 2010–2019,unsustainable energy use,global greenhouse gas emissions,human activities,emissions of greenhouse gases,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
880,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5dff62ac-461f-0bc7-a1fc-245302cd5afb,2.1.1 Observed Warming and its Causes,,1.0,"Human activities, principally through emissions of greenhouse gases, have unequivocally caused global warming, with global surface temperature reaching 1.1°C above 1850–1900 in 2011–2020. Global greenhouse gas emissions have continued to increase over 2010–2019, with unequal historical and ongoing contributions arising from unsustainable energy use, land use and land-use change, lifestyles and patterns of consumption and productionacross regions, between and within countries, and between individuals.",Yes,unequal historical and ongoing contributions arising from,E,Positive,Positive_correlation,unsustainable land use,continued increase in global greenhouse gas emissions,,over 2010–2019,unsustainable land use,global greenhouse gas emissions,human activities,emissions of greenhouse gases,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
881,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5dff62ac-461f-0bc7-a1fc-245302cd5afb,2.1.1 Observed Warming and its Causes,,1.0,"Human activities, principally through emissions of greenhouse gases, have unequivocally caused global warming, with global surface temperature reaching 1.1°C above 1850–1900 in 2011–2020. Global greenhouse gas emissions have continued to increase over 2010–2019, with unequal historical and ongoing contributions arising from unsustainable energy use, land use and land-use change, lifestyles and patterns of consumption and productionacross regions, between and within countries, and between individuals.",Yes,unequal historical and ongoing contributions arising from,E,Positive,Positive_correlation,unsustainable land-use change,continued increase in global greenhouse gas emissions,,over 2010–2019,unsustainable land-use change,global greenhouse gas emissions,human activities,emissions of greenhouse gases,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
882,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5dff62ac-461f-0bc7-a1fc-245302cd5afb,2.1.1 Observed Warming and its Causes,,1.0,"Human activities, principally through emissions of greenhouse gases, have unequivocally caused global warming, with global surface temperature reaching 1.1°C above 1850–1900 in 2011–2020. Global greenhouse gas emissions have continued to increase over 2010–2019, with unequal historical and ongoing contributions arising from unsustainable energy use, land use and land-use change, lifestyles and patterns of consumption and productionacross regions, between and within countries, and between individuals.",Yes,unequal historical and ongoing contributions arising from,E,Positive,Positive_correlation,unsustainable lifestyles,continued increase in global greenhouse gas emissions,,over 2010–2019,unsustainable lifestyles,global greenhouse gas emissions,human activities,emissions of greenhouse gases,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
883,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5dff62ac-461f-0bc7-a1fc-245302cd5afb,2.1.1 Observed Warming and its Causes,,1.0,"Human activities, principally through emissions of greenhouse gases, have unequivocally caused global warming, with global surface temperature reaching 1.1°C above 1850–1900 in 2011–2020. Global greenhouse gas emissions have continued to increase over 2010–2019, with unequal historical and ongoing contributions arising from unsustainable energy use, land use and land-use change, lifestyles and patterns of consumption and productionacross regions, between and within countries, and between individuals.",Yes,unequal historical and ongoing contributions arising from,E,Positive,Positive_correlation,unsustainable patterns of consumption,continued increase in global greenhouse gas emissions,,over 2010–2019,unsustainable patterns of consumption,global greenhouse gas emissions,human activities,emissions of greenhouse gases,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
884,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5dff62ac-461f-0bc7-a1fc-245302cd5afb,2.1.1 Observed Warming and its Causes,,1.0,"Human activities, principally through emissions of greenhouse gases, have unequivocally caused global warming, with global surface temperature reaching 1.1°C above 1850–1900 in 2011–2020. Global greenhouse gas emissions have continued to increase over 2010–2019, with unequal historical and ongoing contributions arising from unsustainable energy use, land use and land-use change, lifestyles and patterns of consumption and productionacross regions, between and within countries, and between individuals.",Yes,unequal historical and ongoing contributions arising from,E,Positive,Positive_correlation,unsustainable patterns of production,continued increase in global greenhouse gas emissions,,over 2010–2019,unsustainable patterns of production,global greenhouse gas emissions,human activities,emissions of greenhouse gases,,No,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,No
885,https://kg-ipclimatec-reports.wikibase.cloud/entity/statement/Q67-5de54124-4a60-67d4-28d2-0f7cde9fa3ee,2.1.1 Observed Warming and its Causes,,3.0,Vulnerable communities who have historically contributed the least to current climate change are disproportionately affected.,No,,,,,,,,,,,,,,,https://kg-ipclimatec-reports.wikibase.cloud/entity/Q2,high confidence,