Impact of temperature change on the population dynamics of the maize pest <i>Busseola fusca</i>

We provided in this work a theoretical framework to study and to simulate the population dynamics of Busseola fusca ( B. fusca ): maize pest. The aim is to simulate and predict the presence levels of Busseola fusca under the influence of temperature variations and control actions. Based on the life cycle of B. fusca ), we first propose a mathematical model to study the population dynamics of this maize pest. Some parameters are taken to be temperature-dependent. This led to a system of non-autonomous differential equations. Also, the classical control strategies are incorporated in the model. We present the theoretical analysis of the model. For the model with constant parameters, we compute the basic offspring number 𝒩 0 that determines the evolution of the population of this insect and establish that the trivial equilibrium is globally asymptotically stable whenever 𝒩 0 &lt; 1, while if 𝒩 0 &gt; 1, the non trivial equilibrium is globally asymptotically stable. For the model with temperature variations, we find two explicit thresholds parameters 𝒩 max and 𝒩 min that bound the basic offspring number 𝒩 0 (such that 𝒩 max ≤ 𝒩 0 ≤ 𝒩 min ), and use them to prove the extinction and the persistence of the pest within a maize field. We prove analytically and by numerical simulations that B. fusca ) persists uniformly within a maize field when 𝒩 min &gt; 1 and tends to disappears within a maize field when 𝒩 max &lt; 1. The theoretical results are illustrated by numerical simulations. They suggest further that spraying insecticides to kill larvae and destroying residues after harvest significantly reduce the population Busseola fusca more than other control actions.

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Journal
Mathematical Modelling of Natural Phenomena
Published
2025-03-02
DOI
https://doi.org/10.1051/mmnp/2025003
Primary Topic
Crop Yield and Soil Fertility
Type
article
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0.00
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article

Impact of temperature change on the population dynamics of the maize pest Busseola fusca

Kolaye Gabriel Guilsou, Janvier Pesser Ntahomvukiye, Jürgen Kurths, Samuel Bowong
Mathematical Modelling of Natural Phenomena
Crop Yield and Soil Fertility
article

Impact of temperature change on the population dynamics of the maize pest Busseola fusca

Kolaye Gabriel Guilsou, Janvier Pesser Ntahomvukiye, Jürgen Kurths, Samuel Bowong
article en

Abstract

We provided in this work a theoretical framework to study and to simulate the population dynamics of Busseola fusca ( B. fusca ): maize pest. The aim is to simulate and predict the presence levels of Busseola fusca under the influence of temperature variations and control actions. Based on the life cycle of B. fusca ), we first propose a mathematical model to study the population dynamics of this maize pest. Some parameters are taken to be temperature-dependent. This led to a system of non-autonomous differential equations. Also, the classical control strategies are incorporated in the model. We present the theoretical analysis of the model. For the model with constant parameters, we compute the basic offspring number 𝒩 0 that determines the evolution of the population of this insect and establish that the trivial equilibrium is globally asymptotically stable whenever 𝒩 0 &lt; 1, while if 𝒩 0 &gt; 1, the non trivial equilibrium is globally asymptotically stable. For the model with temperature variations, we find two explicit thresholds parameters 𝒩 max and 𝒩 min that bound the basic offspring number 𝒩 0 (such that 𝒩 max ≤ 𝒩 0 ≤ 𝒩 min ), and use them to prove the extinction and the persistence of the pest within a maize field. We prove analytically and by numerical simulations that B. fusca ) persists uniformly within a maize field when 𝒩 min &gt; 1 and tends to disappears within a maize field when 𝒩 max &lt; 1. The theoretical results are illustrated by numerical simulations. They suggest further that spraying insecticides to kill larvae and destroying residues after harvest significantly reduce the population Busseola fusca more than other control actions.

Mathematical Modelling of Natural PhenomenaVol. 21
University of Douala (CM), Université du Burundi (BI), University of Maroua (CM), Humboldt-Universität zu Berlin (DE), Sorbonne Université (FR), Unité de Modélisation Mathématique et Informatique des Systèmes Complexes (FR), Institut de Recherche pour le Développement (FR), Potsdam Institute for Climate Impact Research (DE)
Openalex Percentile: Top 95%
Crop Yield and Soil Fertility
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