Effect of fear and prey refuge on a stochastic competitive model with impulse

In an ecosystem, besides the basic relationships among populations within a community, many environmental factors may affect species growth. Accordingly, on the basis of predation fear and prey refuge, a stochastic competition model with impulsive effects is formulated and studied in this paper. First, by constructing the appropriate Lyapunov function, the existences of a unique global positive solution for the stochastic system is demonstrated. Then, using Itô formula, the stochastic Lyapunov function and some important inequalities, the sufficient conditions of extinction, non-mean persistence, mean persistence, random persistence and global attraction of the system are established. Finally, numerical simulations are implemented to comprehend the obtained results and illustrate the pivotal influence of the cost of fear, the strength of prey refuge, the environmental noise and the pulse interference on the predator population.

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Publication Details

Journal
Advances in Continuous and Discrete Models
Published
2025-03-31
DOI
https://doi.org/10.1186/s13662-025-03940-w
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00

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article

Effect of fear and prey refuge on a stochastic competitive model with impulse

Xiangqing Xing, Cuihua Guo, Shulin Sun
Advances in Continuous and Discrete Models
Mathematical and Theoretical Epidemiology and Ecology Models
article

Effect of fear and prey refuge on a stochastic competitive model with impulse

Xiangqing Xing, Cuihua Guo, Shulin Sun
article en

Abstract

In an ecosystem, besides the basic relationships among populations within a community, many environmental factors may affect species growth. Accordingly, on the basis of predation fear and prey refuge, a stochastic competition model with impulsive effects is formulated and studied in this paper. First, by constructing the appropriate Lyapunov function, the existences of a unique global positive solution for the stochastic system is demonstrated. Then, using Itô formula, the stochastic Lyapunov function and some important inequalities, the sufficient conditions of extinction, non-mean persistence, mean persistence, random persistence and global attraction of the system are established. Finally, numerical simulations are implemented to comprehend the obtained results and illustrate the pivotal influence of the cost of fear, the strength of prey refuge, the environmental noise and the pulse interference on the predator population.

Advances in Continuous and Discrete ModelsVol. 2025(1)
Shanxi University (CN), Shanxi Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shanxi Province
Openalex Percentile: Top 91%
Mathematical and Theoretical Epidemiology and Ecology Models
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