Dynamics of a Diffusive Leslie–Gower Model with Both-Density-Dependent Fear Effect

This paper focuses on the dynamics of a diffusive Leslie–Gower model with both-density-dependent fear effect. With regard to the diffusion coefficient and the fear response delay, the existence of Turing and Hopf bifurcations near the interior positive steady-state and the stability of the steady-state with their changes are proved. The interaction influence of the bifurcations is further considered, such as Turing–Turing, Hopf–Hopf and Turing–Hopf bifurcations, in order to investigate the complex spatiotemporal behaviors of the species. It is shown that the existence of the diffusion and the fear response delay is conducive to the generation of complex dynamical behavior of the system. Detailed numerical analysis indicates that a tiny fear intensity can stabilize the system and a slightly larger one will bring about rich spatiotemporal dynamics. Moreover, a spatial inhomogeneous quasiperiodic state is introduced by the diffusion and the delay as the fear intensity increases.

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Publication Details

Journal
International Journal of Bifurcation and Chaos
Published
2025-11-04
DOI
https://doi.org/10.1142/s021812742650001x
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Dynamics of a Diffusive Leslie–Gower Model with Both-Density-Dependent Fear Effect

Yanqiu Li
International Journal of Bifurcation and Chaos
Mathematical and Theoretical Epidemiology and Ecology Models
article

Dynamics of a Diffusive Leslie–Gower Model with Both-Density-Dependent Fear Effect

Yanqiu Li
article en

Abstract

This paper focuses on the dynamics of a diffusive Leslie–Gower model with both-density-dependent fear effect. With regard to the diffusion coefficient and the fear response delay, the existence of Turing and Hopf bifurcations near the interior positive steady-state and the stability of the steady-state with their changes are proved. The interaction influence of the bifurcations is further considered, such as Turing–Turing, Hopf–Hopf and Turing–Hopf bifurcations, in order to investigate the complex spatiotemporal behaviors of the species. It is shown that the existence of the diffusion and the fear response delay is conducive to the generation of complex dynamical behavior of the system. Detailed numerical analysis indicates that a tiny fear intensity can stabilize the system and a slightly larger one will bring about rich spatiotemporal dynamics. Moreover, a spatial inhomogeneous quasiperiodic state is introduced by the diffusion and the delay as the fear intensity increases.

International Journal of Bifurcation and ChaosVol. 36(01)
Shanghai Institute of Technology (CN)
Openalex Percentile: Top 57%
Mathematical and Theoretical Epidemiology and Ecology Models
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