Dynamics of a switching pest management model with fear effect, group defense and intraspecific cooperative hunting

Crop losses caused by pest outbreaks remain a persistent threat to global food security and sustainable agriculture. To address this challenge, this study proposes a switching pest management model with fear effect, group defense, and intraspecific cooperative hunting. The model integrates chemical control (spraying pesticides) with biological control (releasing natural enemies) to overcome limitations associated with single-method approaches. Through the application of the comparison theorem and Floquet theory, threshold conditions are derived for both the global asymptotic stability of pest-extinction periodic solutions and the permanence of the system. Numerical simulations validate these theoretical results and the influence of key parameters—including the maximum natural enemy release rate ($\delta _{\max }$), direct mortality rate ($h_{1}$), and fear coefficient (k)—on system dynamics are revealed. This study provides a theoretical framework for optimizing integrated pest management strategies through behavioral regulation, thus contributing to reduced reliance on conventional insecticides.

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Publication Details

Journal
Advances in Continuous and Discrete Models
Published
2026-02-13
DOI
https://doi.org/10.1186/s13662-026-04080-5
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00
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article

Dynamics of a switching pest management model with fear effect, group defense and intraspecific cooperative hunting

Zeli Zhou, Jianjun Jiao, Hongyan Sun, Hongyan Gao
Advances in Continuous and Discrete Models
Mathematical and Theoretical Epidemiology and Ecology Models
article

Dynamics of a switching pest management model with fear effect, group defense and intraspecific cooperative hunting

Zeli Zhou, Jianjun Jiao, Hongyan Sun, Hongyan Gao
article en

Abstract

Crop losses caused by pest outbreaks remain a persistent threat to global food security and sustainable agriculture. To address this challenge, this study proposes a switching pest management model with fear effect, group defense, and intraspecific cooperative hunting. The model integrates chemical control (spraying pesticides) with biological control (releasing natural enemies) to overcome limitations associated with single-method approaches. Through the application of the comparison theorem and Floquet theory, threshold conditions are derived for both the global asymptotic stability of pest-extinction periodic solutions and the permanence of the system. Numerical simulations validate these theoretical results and the influence of key parameters—including the maximum natural enemy release rate ($\delta _{\max }$), direct mortality rate ($h_{1}$), and fear coefficient (k)—on system dynamics are revealed. This study provides a theoretical framework for optimizing integrated pest management strategies through behavioral regulation, thus contributing to reduced reliance on conventional insecticides.

Advances in Continuous and Discrete ModelsVol. 2026(1)
Central South University of Forestry and Technology (CN), Central South University (CN), Guizhou University of Finance and Economics (CN)
Zero hunger
Openalex Percentile: Top 59%
Mathematical and Theoretical Epidemiology and Ecology Models
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