Towards scenario representation of adaptive capacity for global climate change assessments
Marina Andrijevic (),
Carl-Friedrich Schleussner,
Jesus Crespo Cuaresma,
Tabea Lissner,
Raya Muttarak,
Keywan Riahi,
Emily Theokritoff,
Adelle Thomas,
Nicole Maanen and
Edward Byers
Additional contact information
Marina Andrijevic: International Institute for Applied Systems Analysis
Carl-Friedrich Schleussner: Climate Analytics
Tabea Lissner: Climate Analytics
Raya Muttarak: International Institute for Applied Systems Analysis
Keywan Riahi: International Institute for Applied Systems Analysis
Emily Theokritoff: Climate Analytics
Adelle Thomas: Climate Analytics
Nicole Maanen: Climate Analytics
Edward Byers: International Institute for Applied Systems Analysis
Nature Climate Change, 2023, vol. 13, issue 8, 778-787
Abstract:
Abstract Climate change adaptation needs, as well as the capacity to adapt, are unequally distributed around the world. Global models that assess the impacts of climate change and policy options to reduce them most often do not elaborately represent adaptation. When they do, they rarely account for heterogeneity in societies’ adaptive capacities and their temporal dynamics. Here we propose ways to quantify adaptive capacity within the framework of Shared Socioeconomic Pathways, a scenario set widely used by climate impact and integrated assessment models. A large set of indicators spanning different socioeconomic dimensions can be used to assess adaptive capacity and deliver adaptation-relevant, scenario-resolved information that is crucial for more realistic assessment of whether and how climate risks can be reduced by adaptation.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcli:v:13:y:2023:i:8:d:10.1038_s41558-023-01725-1
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DOI: 10.1038/s41558-023-01725-1
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