To understand climate change adaptation we must characterize climate variability. Here’s how

Anne Pisor, Danielle Touma, Deepti Singh and James Holland Jones
Additional contact information
Anne Pisor: Washington State University
James Holland Jones: Stanford University

No r382h, OSF Preprints from Center for Open Science

Abstract: Climate change adaptation involves the management of the climate-related risks, and the IPCC says we must prioritize adaptation immediately. However, researchers and policymakers have little systematic understanding of which adaptations actually reduce risks, including under different climate conditions. Drawing on data from human communities past and present, we review how features of climate variability—temporal autocorrelation, frequency, and severity—may predict which candidate climate change adaptations communities innovate or adopt. Using a case study of climate and remittances in Africa, we outline how researchers can characterize climate data by their autocorrelation, frequency, and severity, and then qualitatively compare these data to candidate adaptations. We include suggestions for how to involve communities in these explorations, from setting climate thresholds to identifying impactful hazards. By better understanding the relationship between climate variability and common solutions used by communities, researchers and policymakers can better support communities as they adapt to contemporary climate change.

Date: 2023-02-02
New Economics Papers: this item is included in nep-agr and nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://osf.io/download/63dbd7097d0187034fbc497e/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:r382h

DOI: 10.31219/osf.io/r382h

Access Statistics for this paper

More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().