Evidence map›Paper›PMID 42839956›Full record

ArticleNature climate change2026

Compound and heterogeneous relationships between climate extremes and global net migration.

Kristina Petrova, Karim Zantout, Sandra Zimmermann, Venla Niva, Matti Kummu, Katja Frieler, Jacob Schewe

Abstract read
In one paragraph

Article in Nature climate change, 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

7 authors.

Kristina PetrovaPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID 0000-0003-4484-4179
Karim ZantoutPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID 0000-0002-1357-1721
Sandra ZimmermannPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID 0009-0005-0130-0528
Venla NivaAalto University, Espoo, Finland.
Matti KummuWater and Development Research Group, Aalto University, Espoo, Finland.ORCID 0000-0001-5096-0163
Katja FrielerPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID 0000-0003-4869-3013
Jacob SchewePotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID 0000-0001-9455-4159

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate extremes are increasingly disrupting livelihoods and shaping patterns of human mobility. Their longer-term and compounding relationships with migration remain understudied, particularly at the subnational scale. In this study, by analysing global subnational net migration data, we show that associations between climate extremes and migration vary by hazard type, timing, consecutive events, income level and pre-existing migration context. Floods are associated with decreased net migration across contexts, with effects lasting several years and appearing stronger in lower-income areas. Droughts, by contrast, show associations with net migration primarily in higher-income settings, with effects generally short-term. Tropical cyclones correspond to decreased net migration primarily in lower-income areas, with effects lasting over several years. For compound exposure, droughts show the clearest patterns, with prolonged exposure linked to reduced migration inflows in population-attracting areas. These results highlight how climate extremes interact with local socioeconomic contexts to shape mobility.

Indexed as

Climate changeGovernance

Identifiers

PMID42839956
PMCPMC13638451

What OpenQuestion holds

Textmetadata
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.