Dynamical analysis of a predator-prey system with fear-induced dispersal between patches

In this paper, a patchy model in which the migration is induced by the fear effect on the predator was investigated. By applying dynamical theory, the complete study on persistence of the system and the local/global stability of equilibria were discussed. Choosing the diffusion coefficient $ D_1 $ as the bifurcation parameter, transcritical bifurcation occurring near the trivial equilibrium was demonstrated. We concluded that low dispersal is favorable for the coexistence of both species, but large dispersal leads to the extinction of species. There is an optimal diffusion coefficient to make the density of the prey population reach its maximum. In addition, the level of fear effect $ k $ and the maximum fear cost $ \eta $ are beneficial to the total population density of prey.

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Publication Details

Journal
Mathematical Biosciences & Engineering
Published
2025-01-01
DOI
https://doi.org/10.3934/mbe.2025042
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Dynamical analysis of a predator-prey system with fear-induced dispersal between patches

Fengde Chen, Lijuan Chen, Yue Xia, Jin Zhong
Mathematical Biosciences & Engineering
Mathematical and Theoretical Epidemiology and Ecology Models
article

Dynamical analysis of a predator-prey system with fear-induced dispersal between patches

Fengde Chen, Lijuan Chen, Yue Xia, Jin Zhong
article en

Abstract

In this paper, a patchy model in which the migration is induced by the fear effect on the predator was investigated. By applying dynamical theory, the complete study on persistence of the system and the local/global stability of equilibria were discussed. Choosing the diffusion coefficient $ D_1 $ as the bifurcation parameter, transcritical bifurcation occurring near the trivial equilibrium was demonstrated. We concluded that low dispersal is favorable for the coexistence of both species, but large dispersal leads to the extinction of species. There is an optimal diffusion coefficient to make the density of the prey population reach its maximum. In addition, the level of fear effect $ k $ and the maximum fear cost $ \eta $ are beneficial to the total population density of prey.

Mathematical Biosciences & EngineeringVol. 22(5)
Fuzhou University (CN)
Openalex Percentile: Top 90%
Mathematical and Theoretical Epidemiology and Ecology Models
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