The Stability of a Predator–Prey Model with Cross-Dispersal in a Multi-Patch Environment

This paper investigates the stability of predator–prey models within multi-patch environments, with a particular focus on the influence of cross-dispersion across patches. We apply Kirchhoff’s matrix tree theorem and Liapunov’s method to derive criteria related to the cross-dispersion topology, thus solving the challenge of determining global asymptotic stability conditions. The method incorporates realistic ecological interactions and spatial heterogeneity, offering a framework for stability analysis. Our findings demonstrate that an appropriate level of cross-dispersion can effectively mitigate oscillations and foster convergence toward equilibrium. Two numerical examples validate these theoretical results and demonstrate the feasibility and effectiveness of the model across multiple patches.

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Publication Details

Journal
Axioms
Published
2024-11-13
DOI
https://doi.org/10.3390/axioms13110783
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

The Stability of a Predator–Prey Model with Cross-Dispersal in a Multi-Patch Environment

Shang Gao, Kexin Xu, Keyu Peng
Axioms
Mathematical and Theoretical Epidemiology and Ecology Models
article

The Stability of a Predator–Prey Model with Cross-Dispersal in a Multi-Patch Environment

Shang Gao, Kexin Xu, Keyu Peng
article en

Abstract

This paper investigates the stability of predator–prey models within multi-patch environments, with a particular focus on the influence of cross-dispersion across patches. We apply Kirchhoff’s matrix tree theorem and Liapunov’s method to derive criteria related to the cross-dispersion topology, thus solving the challenge of determining global asymptotic stability conditions. The method incorporates realistic ecological interactions and spatial heterogeneity, offering a framework for stability analysis. Our findings demonstrate that an appropriate level of cross-dispersion can effectively mitigate oscillations and foster convergence toward equilibrium. Two numerical examples validate these theoretical results and demonstrate the feasibility and effectiveness of the model across multiple patches.

AxiomsVol. 13(11)
Northeast Forestry University (CN)
Life in Land
Openalex Percentile: Top 69%
Mathematical and Theoretical Epidemiology and Ecology Models
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