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.
Authors
- Shang Gao (ORCID: https://orcid.org/0000-0002-6554-5285)
- Kexin Xu (ORCID: https://orcid.org/0000-0001-7389-0874)
- Keyu Peng (ORCID: https://orcid.org/0009-0004-2438-726X)
Institutions
- Northeast Forestry University (CN)
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
- Field-Weighted Citation Impact
- 0.00