Evidence map›Paper›PMID 42869882›Full record

ArticleNature communications2026

Wildfire exposure and political participation in Africa.

Siyuan Chen, Michael Akwasi Appiah-Kubi, Lina Meng, Pengfei Liu, Lu Lin

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

5 authors.

Siyuan Chen *School of Economics, Xiamen University, Xiamen, Fujian, China.ORCID http://orcid.org/0009-0009-2955-5206
Michael Akwasi Appiah-Kubi *MAFLO African Urban Research Center, Achimota-Ofankor, Accra, Ghana.ORCID http://orcid.org/0000-0001-5243-1847
Lina MengSchool of Economics, Xiamen University, Xiamen, Fujian, China. lnmeng@xmu.edu.cn.ORCID http://orcid.org/0000-0002-5919-7149
Pengfei LiuSchool of Economics and Management, Beihang University, Haidian, Beijing, China. pl2022@buaa.edu.cn.ORCID http://orcid.org/0000-0002-5217-0760
Lu LinSchool of Economics and Management, China University of Petroleum Beijing, Changping, Beijing, China. linlu@cup.edu.cn.ORCID http://orcid.org/0000-0002-2702-3427

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42301218National Natural Science Foundation of China (National Science Foundation of China) 72173109; 71988101National Natural Science Foundation of China (National Science Foundation of China) W2412161; 606HWRC205108001; 501RCQD2025108001
6 · The paper itself

Abstract

Civic engagement can shape collective responses to climate change. However, evidence on how climate-related disasters affect political participation in Africa remains limited. Combining Global Fire Atlas records with Afrobarometer surveys of more than 100,000 people in 34 African countries, we show that people living close to wildfires are more likely to vote, contact local councillors, attend community meetings, and raise collective issues, whereas protest participation shows weaker responses. These effects are larger in arid regions and among people with higher climate literacy or access to information, members of politically dominant ethnic groups and those living near ethnic boundaries. Our findings suggest that participation is motivated mainly by immediate material loss and demand for public services, rather than environmental concern. These findings highlight the importance of addressing post-disaster needs to sustain political engagement and public support for long-term climate adaptation in the Global South.

Indexed as

PoliticsWildfiresAfricaClimate ChangeHumansVoting

Identifiers

PMID42869882
PMCPMC13662189

What OpenQuestion holds

Textmetadata
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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.