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The document reports on a comprehensive global stocktake of human adaptation to climate change, utilizing machine learning and a network of 126 researchers to screen over 48,000 articles. The analysis reveals that documented adaptations are primarily fragmented, local, and incremental, with very little evidence of transformational adaptation or outcomes that effectively reduced risk. The authors conclude by identifying eight priorities to improve global adaptation research.

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  • The stocktake, derived from a synthesis of 1,682 articles, indicates that documented climate adaptations are mostly local, incremental, and fragmented, showing minimal evidence of transformational adaptation or risk-reducing outcomes.
  • The research methodology involved screening more than 48,000 articles through the use of machine learning and a global network consisting of 126 researchers.

Cite the original document

APA
Stockholm Environment Institute (2021). systematic global stocktake adaptation. https://www.sei.org/publications/systematic-global-stocktake-adaptation
Chicago
Stockholm Environment Institute. systematic global stocktake adaptation. 2021. https://www.sei.org/publications/systematic-global-stocktake-adaptation.
Wikipedia
{{cite report |author=Stockholm Environment Institute |title=systematic global stocktake adaptation |date=29 October 2021 |url=https://www.sei.org/publications/systematic-global-stocktake-adaptation |access-date=17 August 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{stockholmenvironmentinstitute2021systematic, author = {{Stockholm Environment Institute}}, title = {{systematic global stocktake adaptation}}, institution = {Stockholm Environment Institute}, year = {2021}, month = oct, url = {https://www.sei.org/publications/systematic-global-stocktake-adaptation}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }

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