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

doi:10.1002/ps.70732

March 22, 2026Pest Management ScienceOpen Access

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

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Key Points

The research aims to model and understand the seasonal migration patterns of fall armyworm in West Africa to enhance prediction and management.
Utilized atmospheric trajectory analyses to track migration patterns.
Focused on seasonal changes in migration within the specified region.
Analyzed data to predict potential outbreak risks.
Identified distinct seasonal migration patterns of fall armyworm in West Africa.
Provided insights that can inform regional agricultural management strategies.
Highlighted the importance of timely predictions to mitigate outbreak risks.

Implication

Research reveals seasonal migration of fall armyworm, suggesting effective management strategies in West Africa.

Abstract

This 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.

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Cite This Study

Gao et al. (2026) studied this question.

synapsesocial.com/papers/69c37afeb34aaaeb1a67d065 https://doi.org/10.1002/ps.70732

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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