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Dynamics of predator-prey systems with prey’s dispersal between patches

Author

Listed:
  • Jiale Ban

    (Sun Yat-sen University)

  • Yuanshi Wang

    (Sun Yat-sen University)

  • Hong Wu

    (Sun Yat-sen University)

Abstract

This paper analyzes dispersal in predator-prey systems, where the prey can move between a source and a sink patch and the predation interaction is described by the Holling II functional response. By applying dynamical systems theory, we present a complete study on persistence of the system, and show local/global stability of equilibria. Then we prove Hopf bifurcation in the system by computing Lyapunov coefficient, and show that dispersal could lead to results reversing those if non-dispersing. By explicit expressions of stable equilibria, we show that dispersal could make the prey approach total abundance larger than if non-dispersing, even larger than its carrying capacity when the predator persists. Asymmetry in dispersal could also lead to the results. Total abundance of the prey is shown to be a distorted function (surface) of dispersal rates, which extends both previous theory and experimental observations. It is proven that there exists an optimal dispersal that drives the predator into extinction and makes the prey reach the maximal abundance. These results are biologically important in preserving endangered species.

Suggested Citation

  • Jiale Ban & Yuanshi Wang & Hong Wu, 2022. "Dynamics of predator-prey systems with prey’s dispersal between patches," Indian Journal of Pure and Applied Mathematics, Springer, vol. 53(2), pages 550-569, June.
  • Handle: RePEc:spr:indpam:v:53:y:2022:i:2:d:10.1007_s13226-021-00117-5
    DOI: 10.1007/s13226-021-00117-5
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    References listed on IDEAS

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    1. Goldwyn, Eli E. & Hastings, Alan, 2008. "When can dispersal synchronize populations?," Theoretical Population Biology, Elsevier, vol. 73(3), pages 395-402.
    2. Arditi, Roger & Lobry, Claude & Sari, Tewfik, 2018. "Asymmetric dispersal in the multi-patch logistic equation," Theoretical Population Biology, Elsevier, vol. 120(C), pages 11-15.
    3. Arditi, Roger & Lobry, Claude & Sari, Tewfik, 2015. "Is dispersal always beneficial to carrying capacity? New insights from the multi-patch logistic equation," Theoretical Population Biology, Elsevier, vol. 106(C), pages 45-59.
    4. Wu, Hong & Wang, Yuanshi & Li, Yufeng & DeAngelis, Donald L., 2020. "Dispersal asymmetry in a two-patch system with source–sink populations," Theoretical Population Biology, Elsevier, vol. 131(C), pages 54-65.
    5. Ruiz-Herrera, Alfonso, 2018. "Metapopulation dynamics and total biomass: Understanding the effects of diffusion in complex networks," Theoretical Population Biology, Elsevier, vol. 121(C), pages 1-11.
    6. Huang, Rong & Wang, Yuanshi & Wu, Hong, 2020. "Population abundance in predator–prey systems with predator’s dispersal between two patches," Theoretical Population Biology, Elsevier, vol. 135(C), pages 1-8.
    7. Tiwari, Vandana & Tripathi, Jai Prakash & Mishra, Swati & Upadhyay, Ranjit Kumar, 2020. "Modeling the fear effect and stability of non-equilibrium patterns in mutually interfering predator–prey systems," Applied Mathematics and Computation, Elsevier, vol. 371(C).
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    Cited by:

    1. Yu, Fei & Wang, Yuanshi, 2022. "Hopf bifurcation and Bautin bifurcation in a prey–predator model with prey’s fear cost and variable predator search speed," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 196(C), pages 192-209.

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