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Compound and heterogeneous relationships between climate extremes and global net migration

Authors
/persons/resource/kristina.petrova

Petrova,  Kristina       
Potsdam Institute for Climate Impact Research;
Submitting Corresponding Author, Potsdam Institute for Climate Impact Research;

/persons/resource/karim.zantout

Zantout,  Karim       
Potsdam Institute for Climate Impact Research;

/persons/resource/sandra.zimmermann

Zimmermann,  Sandra       
Potsdam Institute for Climate Impact Research;

Niva,  Venla
External Organizations;

Kummu,  Matti
External Organizations;

/persons/resource/Katja.Frieler

Frieler,  Katja       
Potsdam Institute for Climate Impact Research;

/persons/resource/Schewe

Schewe,  Jacob       
Potsdam Institute for Climate Impact Research;

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Citation

Petrova, K., Zantout, K., Zimmermann, S., Niva, V., Kummu, M., Frieler, K., Schewe, J. (2026): Compound and heterogeneous relationships between climate extremes and global net migration. - Nature Climate Change, 16, 1162-1169.
https://doi.org/10.1038/s41558-026-02752-4


Cite as: https://publications.pik-potsdam.de/pubman/item/item_35019
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.