Evidence map›Paper›PMID 42243098›Full record

ArticleNature communications2026

Implications of regional variations in climate change vulnerability and mitigation behaviour for social-climate dynamics.

Amrita Punnavajhala, Timothy M Lenton, Chris T Bauch, Madhur Anand

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Amrita PunnavajhalaDepartment of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada. apunnavajhala@uwaterloo.ca.ORCID http://orcid.org/0009-0002-3848-5421
Timothy M LentonGlobal Systems Institute, Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0002-6725-7498
Chris T BauchDepartment of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada.ORCID http://orcid.org/0000-0001-6214-6601
Madhur AnandSchool of Environmental Sciences, University of Guelph, Guelph, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How regional heterogeneity in social and cultural processes drive-and respond to-climate dynamics is little studied. Here we present a coupled social-climate model stratified across five world regions and parameterised with geophysical, economic and social survey data. We find that support for mitigation evolves in a highly variable fashion across regions, according to socio-economics, climate vulnerability, and feedback from changing temperatures. Social learning and social norms can amplify existing sentiment about mitigation, leading to better or worse global warming outcomes depending on the region. Moreover, mitigation in one region, as mediated by temperature dynamics, can influence other regions to act, or just sit back, thus driving cross-regional heterogeneity in mitigation opinions. Under high emissions scenarios, the peak temperature anomaly varies by several degrees Celsius depending on how these interactions unfold. Our model exemplifies an exploratory framework for studying how global geophysical processes interact with population-scale concerns to determine future sustainability outcomes.

Identifiers

PMID42243098
PMCPMC13396356

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.