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Behavioral dimensions of climate change: drivers, responses, barriers, and interventions
Abstract
This overview describes the anthropogenic drivers of global climate change, reviews the behavioral and psychological responses to its impacts (including barriers to behavior change), considers behavior‐focused intervention strategies, and suggests future directions for research. In doing so, it demonstrates why and how behavioral science is crucial for confronting the complex challenges posed by global climate change. The human dimensions of climate change are discussed, followed by descriptions of key theoretical models for explaining and predicting climate‐relevant behavior, issues and distinctions in studying human behavior in response to global climate change, an account of psychological (as opposed to structural) adaptation and its behavioral sequelae, the many psychological barriers to behavior change in this context, and behavior‐focused intervention strategies. The overview concludes with suggestions for researchers interested in advancing knowledge about behavior change and psychological responses to climate change. When knowledge about human behavior, cognitions, and psychological adaptation is integrated with that produced by researchers in related social and natural science disciplines, the result will facilitate solutions to this massive shared challenge.WIREs Clim Change 2011, 2:801–827. doi: 10.1002/wcc.143 This article is categorized under:Perceptions, Behavior, and Communication of Climate Change > Behavior Change and Responses
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Metadata
- Authors
- Gifford, R., Kormos, C., & McIntyre, A.
- Venue
- WIREs Climate Change
- Publisher
- Wiley
- Published
- 2011-11
- Volume
- 2
- Issue
- 6
- Pages
- 801-827
- ISSN
- 1757-7780 (ISSN-L)
- 1757-7799
- OpenAlex
- W2125952301
- Cited by
- 408
- References
- 203
- FWCI
- 27.86
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.