Evidence map›Paper›PMID 41866706›Full record

ArticlePest management science2026

Potential patterns of fall armyworm seasonal migration in West Africa modeled with atmospheric trajectory analyses.

Fan-Qi Gao, Xue-Yan Zhang, Rosina Kyerematen, Gao Hu, Regan Early, Jason W Chapman

Abstract read
In one paragraph

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fan-Qi GaoDepartment of Entomology, Nanjing Agricultural University, Nanjing, China.ORCID https://orcid.org/0009-0009-6749-4272
Xue-Yan ZhangCentre for Ecology and Conservation, University of Exeter, Penryn, United Kingdom.
Rosina KyerematenDepartment of Animal Biology and Conservation Science, University of Ghana, Accra, Ghana.
Gao HuCentre for Ecology and Conservation, University of Exeter, Penryn, United Kingdom.ORCID https://orcid.org/0000-0002-1000-5687
Regan EarlyDepartment of Entomology, Nanjing Agricultural University, Nanjing, China.ORCID https://orcid.org/0000-0003-4108-5904
Jason W ChapmanDepartment of Entomology, Nanjing Agricultural University, Nanjing, China.

Funding

China Scholarship CouncilUniversity of Exeter
6 · The paper itself

Abstract

backgroundThe migratory invasive species fall armyworm (Spodoptera frugiperda, FAW) has established year-round populations in several West African countries following its initial invasion of Africa in early 2016. However, its seasonal migratory dynamics within West Africa remain poorly understood. If FAW populations in West Africa were able to successfully cross the Sahara Desert and serve as a major source population in North Africa, this could increase the risk of further invasion into southern Europe. In this study, we used atmospheric data to perform trajectory simulations, predicting the seasonal migratory pathways of short-distance migratory FAW individuals within West African breeding habitats and assessing the monthly probabilities of long-distance migrants departing from West Africa successfully crossing the Sahara Desert.

resultsThe results indicate that from May to September, the vast majority of short-distance migrants (>70%) remained within West African breeding habitats, whereas in other months, a larger proportion of individuals were blown into the Atlantic Ocean. Moreover, short-distance migrants exhibited clear seasonal movement patterns within West Africa: shifting southwestward from January to May, turning northeastward in June and July, and returning southwestward from August to December. Long-distance migrants had an extremely low success rate (≤0.3%) of crossing the Sahara Desert, which occurred only between February and April each year.

conclusionThis study revealed the seasonal migration patterns of FAW within West Africa, providing important insights for predicting regional outbreak risks and optimizing management strategies in the region. © 2026 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

Animal MigrationSpodopteraAfrica, WesternAnimalsModels, BiologicalSeasonsfall armywormNorth AfricaSahara Desertseasonal migration patterntrajectory simulationWest Africa

Identifiers

PMID41866706
PMCPMC13240689

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LicenceCC BY
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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.