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.
Andrijevic M., Schleussner C.-F., Crespo Cuaresma J., Lissner T., Muttarak R., Riahi K., et al. (2023). Towards scenario representation of adaptive capacity for global climate change assessments. NATURE CLIMATE CHANGE, 13(8), 778-787 [10.1038/s41558-023-01725-1].
Towards scenario representation of adaptive capacity for global climate change assessments
Crespo Cuaresma J.;Muttarak R.;
2023
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.