Adaptation to compound climate risks: A systematic global stocktake
The Global Adaptation Mapping Initiative Team
(2023) iScience, volume 26, issue 2
(Article)
Abstract
This article provides a stocktake of the adaptation literature between 2013 and 2019 to better understand how adaptation responses affect risk under the particularly challenging conditions of compound climate events. Across 39 countries, 45 response types to compound hazards display anticipatory (9%), reactive (33%), and maladaptive (41%) characteristics, as well
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as hard (18%) and soft (68%) limits to adaptation. Low income, food insecurity, and access to institutional resources and finance are the most prominent of 23 vulnerabilities observed to negatively affect responses. Risk for food security, health, livelihoods, and economic outputs are commonly associated risks driving responses. Narrow geographical and sectoral foci of the literature highlight important conceptual, sectoral, and geographic areas for future research to better understand the way responses shape risk. When responses are integrated within climate risk assessment and management, there is greater potential to advance the urgency of response and safeguards for the most vulnerable.
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Keywords: Business, Climatology, Decision science, Earth sciences, Safety engineering, Large cities, Farmers, Change vulnerability, Changing climate, Adaptive capacity, Impacts, Environmental-change, Adjacent communities, Strategies, Perspectives, General
ISSN: 2589-0042
Publisher: Elsevier
Note: Funding Information: This work was funded by the UK Government’s Foreign , Commonwealth & Development Office and the International Development Research Centre , Ottawa, Canada grant no. 109419–001 . ACS acknowledges financial support of the Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA) project, funded by the International Development Association ( IDA ) of the World Bank . Funding Information: This work was funded by the UK Government's Foreign, Commonwealth & Development Office and the International Development Research Centre, Ottawa, Canada grant no. 109419–001. ACS acknowledges financial support of the Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA) project, funded by the International Development Association (IDA) of the World Bank. Original: NPS, CHT, KJM, and MvA conceived the conceptual framework; NPS, LBF, CHT, KJM, PAW, RB, MH, ACS, DC, JIM-S, ETJ, AMN, CS, ARS, MvA, and The Global Adaptation Mapping Initiative Team conducted the initial formal analysis of the GAMI dataset, developed the methodology for this review, performed validation of the GAMI dataset, and conducted the underlying formal analysis. NPS, PAW, JIM-S, RB, AMN, ETJ, MH, KJM, ACS, and ARS conducted the core investigation coding the articles; NPS, CHT, and LBF provided funding resources; NPS, SS, and LBF curated the data; NPS wrote the original draft; NPS, PAW, KJM, LBF, RB, MH, ACS, DC, JIM-S, ETJ, AMN, SS, ALSM, TMA, CS, ARS, JL, MvA, and CHT contributed to writing and review & editing of the original draft; NPS, ALSM, and CHT contributed to visualization of results; NPS project managed the team and process; CHT acquired funding. The authors declare no competing interests. We support inclusive, diverse, and equitable conduct of research. Publisher Copyright: © 2023 The Authors
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