Berrang-Ford, L, Siders, AR, Lesnikowski, A et al. (123 more authors) (2021) A systematic global stocktake of evidence on human adaptation to climate change. Nature Climate Change, 11 (11). pp. 989-1000. ISSN 1758-678X
Abstract
Assessing global progress on human adaptation to climate change is an urgent priority. Although the literature on adaptation to climate change is rapidly expanding, little is known about the actual extent of implementation. We systematically screened >48,000 articles using machine learning methods and a global network of 126 researchers. Our synthesis of the resulting 1,682 articles presents a systematic and comprehensive global stocktake of implemented human adaptation to climate change. Documented adaptations were largely fragmented, local and incremental, with limited evidence of transformational adaptation and negligible evidence of risk reduction outcomes. We identify eight priorities for global adaptation research: assess the effectiveness of adaptation responses, enhance the understanding of limits to adaptation, enable individuals and civil society to adapt, include missing places, scholars and scholarship, understand private sector responses, improve methods for synthesizing different forms of evidence, assess the adaptation at different temperature thresholds, and improve the inclusion of timescale and the dynamics of responses.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s), under exclusive licence to Springer Nature Limited 2021. This is an author produced version of an article published in Nature Climate Change. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Sustainability Research Institute (SRI) (Leeds) The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Mar 2022 12:12 |
Last Modified: | 28 Apr 2022 00:38 |
Status: | Published |
Publisher: | Nature Research |
Identification Number: | 10.1038/s41558-021-01170-y |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:184480 |