A framework for modelling desert locust population dynamics and large-scale dispersal

There is an urgent need for mathematical models that can be used to inform the deployment of surveillance, early warning and management systems for transboundary pest invasions. This is especially important for desert locust, one of the most dangerous migratory pests for smallholder farmers. During periods of desert locust upsurges and plagues, gregarious adult locusts form into swarms that are capable of long-range dispersal. Here we introduce a novel integrated modelling framework for use in predicting gregarious locust populations. The framework integrates the selection of breeding sites, maturation through egg, hopper and adult stages and swarm dispersal in search of areas suitable for feeding and breeding. Using a combination of concepts from epidemiological modelling, weather and environment data, together with an atmospheric transport model for swarm movement we provide a tool to forecast short- and long-term swarm movements. A principal aim of the framework is to provide a practical starting point for use in the next upsurge.

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Publication Details

Journal
PLoS Computational Biology
Published
2024-12-19
DOI
https://doi.org/10.1371/journal.pcbi.1012562
Citations
8
Primary Topic
Insect and Arachnid Ecology and Behavior
Type
article
Field-Weighted Citation Impact
4.40

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article

A framework for modelling desert locust population dynamics and large-scale dispersal

Christopher A. Gilligan, Keith Cressman, William P. Thurston, Renata Retkutė
8 citations
PLoS Computational Biology
Insect and Arachnid Ecology and Behavior
4.40
article

A framework for modelling desert locust population dynamics and large-scale dispersal

Christopher A. Gilligan, Keith Cressman, William P. Thurston, Renata Retkutė
article en
8 citations

Abstract

There is an urgent need for mathematical models that can be used to inform the deployment of surveillance, early warning and management systems for transboundary pest invasions. This is especially important for desert locust, one of the most dangerous migratory pests for smallholder farmers. During periods of desert locust upsurges and plagues, gregarious adult locusts form into swarms that are capable of long-range dispersal. Here we introduce a novel integrated modelling framework for use in predicting gregarious locust populations. The framework integrates the selection of breeding sites, maturation through egg, hopper and adult stages and swarm dispersal in search of areas suitable for feeding and breeding. Using a combination of concepts from epidemiological modelling, weather and environment data, together with an atmospheric transport model for swarm movement we provide a tool to forecast short- and long-term swarm movements. A principal aim of the framework is to provide a practical starting point for use in the next upsurge.

PLoS Computational BiologyVol. 20(12)
Met Office (GB), Food and Agriculture Organization of the United Nations (IT), University of Cambridge (GB)
Bill and Melinda Gates Foundation, Foreign, Commonwealth and Development Office
Openalex Percentile: Top 5%
Insect and Arachnid Ecology and Behavior
4.40
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