Evidence map›Paper›PMID 40715055›Full record

ArticleNature communications2025

Global determinants of coastal migration under climate change.

Sem J Duijndam, W J Wouter Botzen, Liselotte C Hagedoorn, Marijn Ton, Jens de Bruijn, Silvina Carretero, Jeanne Dachary-Bernard, Bénédicte Rulleau, Jeroen C J H Aerts

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Sem J DuijndamInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, De Boelelaan 1085, Amsterdam, The Netherlands. sem.duijndam@vu.nl.
W J Wouter BotzenInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, De Boelelaan 1085, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-8563-4963
Liselotte C HagedoornInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, De Boelelaan 1085, Amsterdam, The Netherlands.
Marijn TonInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, De Boelelaan 1085, Amsterdam, The Netherlands.
Jens de BruijnInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, De Boelelaan 1085, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-3961-6382
Silvina CarreteroConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), CEIDE, Facultad de Ciencias Naturales y Museo, Universidad Nacional de La Plata, 64 no. 3, La Plata, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0002-5023-7124
Jeanne Dachary-BernardInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), UR ETTIS, 50 Avenue de Verdun, Cestas, France.ORCID http://orcid.org/0000-0003-1491-9504
Bénédicte RulleauInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), UR ETTIS, 50 Avenue de Verdun, Cestas, France.ORCID http://orcid.org/0000-0002-3659-5769
Jeroen C J H AertsInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, De Boelelaan 1085, Amsterdam, The Netherlands. jeroen.aerts@vu.nl.ORCID http://orcid.org/0000-0002-2162-5814

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 884442
6 · The paper itself

Abstract

Climate change-induced sea-level rise and associated flood risk will have major impacts on coastal regions worldwide, likely prompting millions of people to migrate elsewhere. Migration behavior is expected to be context-specific, but comparative empirical research on coastal migration under climate change is lacking. We address this gap by utilizing original survey data from coastal Argentina, France, Mozambique and the United States to research determinants of migration under different flood risk scenarios. Here we show that migration is more likely in higher-than in lower-income contexts, and that flood risk is an important driver of migration. Consistent determinants of migration across contexts include response efficacy, self-efficacy, place attachment and age, with variations between scenarios. Other factors such as climate change perceptions, migration costs, social networks, household income, and rurality are also important but context-specific. Furthermore, important trade-offs exist between migration and in-situ adaptation. These findings support policymakers in forging equitable migration pathways under climate change.

Identifiers

PMID40715055
PMCPMC12297289

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.