Spatiotemporal dynamics of a diffusive predator-prey model with generalist predator

Dingyong Bai, Jianshe Yu, Yun Kang

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we study the spatiotemporal dynamics of a diffusive predator-prey model with generalist predator subject to homogeneous Neumann boundary condition. Some basic dynamics including the dissipation, persistence and non-persistence(i.e., one species goes extinct), the local and global stability of non-negative constant steady states of the model are investigated. The conditions of Turing instability due to diffusion at positive constant steady states are presented. A critical value ρρ of the ratio d2d1d2d1 of diffusions of predator to prey is obtained, such that if d2d1>ρd2d1>ρ, then along with other suitable conditions Turing bifurcation will emerge at a positive steady state, in particular so it is with the large diffusion rate of predator or the small diffusion rate of prey; while if d2d1<ρd2d1<ρ, both the reaction-diffusion system and its corresponding ODE system are stable at the positive steady state. In addition, we provide some results on the existence and non-existence of positive non-constant steady states. These existence results indicate that the occurrence of Turing bifurcation, along with other suitable conditions, implies the existence of non-constant positive steady states bifurcating from the constant solution. At last, by numerical simulations, we demonstrate Turing pattern formation on the effect of the varied diffusive ratio d2d1d2d1. As d2d1d2d1 increases, Turing patterns change from spots pattern, stripes pattern into spots-stripes pattern. It indicates that the pattern formation of the model is rich and complex.

Original languageEnglish (US)
Pages (from-to)2949-2973
Number of pages25
JournalDiscrete and Continuous Dynamical Systems - Series S
Volume13
Issue number11
DOIs
StatePublished - Nov 2020

Keywords

  • Generalist predator
  • Non-constant solu-tion
  • Pattern formation
  • Stability
  • Turing instability

ASJC Scopus subject areas

  • Analysis
  • Discrete Mathematics and Combinatorics
  • Applied Mathematics

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