Skip to main navigation Skip to search Skip to main content

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 van Maanen
  • , Edward Byers

Research output: Contribution to JournalArticleAcademicpeer-review

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.
Original languageEnglish
Pages (from-to)778-787
Number of pages10
JournalNature Climate Change
Volume13
Issue number8
Early online date17 Jul 2023
DOIs
Publication statusPublished - Aug 2023
Externally publishedYes

Funding

We thank O. Serdeczny for useful comments on the earlier versions of this work and J. Kikstra, the reigning IIASA table tennis champion, for a helpful exchange on the revised version. R.M. acknowledges support from the ERC Consolidator Grant under grant agreement number 101002973 (POPCLIMA). N.v.M. and E.T. acknowledge support from the German Federal Ministry of Education and Research under grant agreement number 01LN1711A (EmBARK). C.-F.S. acknowledges funding from the European Union’s Horizon 2020 Research and Innovation programmes under grant agreement number 101003687 (PROVIDE).

FundersFunder number
European Research Council
Horizon 2020 Framework Programme101002973, 101003687
Bundesministerium für Bildung und Forschung01LN1711A

    Fingerprint

    Dive into the research topics of 'Towards scenario representation of adaptive capacity for global climate change assessments'. Together they form a unique fingerprint.

    Cite this