TY - JOUR
T1 - Spatiotemporal dynamics of a diffusive predator-prey model with generalist predator
AU - Bai, Dingyong
AU - Yu, Jianshe
AU - Kang, Yun
N1 - Funding Information:
Acknowledgments. The research of J. Yu is supported by NSF of China (11631005) and PCSIRT of China(IRT1226). The research of D. Bai is partially supported by NSF of China(11771104). The research of Y. Kang is partially supported by NSF-DMS (1313312&1716802), NSF-IOS/DMS (1558127) and The James S. McDonnell Foundation 21st Century Science Initiative in Studying Complex Systems Scholar Award (220020472).
Publisher Copyright:
© 2020 American Institute of Mathematical Sciences. All rights reserved.
PY - 2020/11
Y1 - 2020/11
N2 - 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.
AB - 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.
KW - Generalist predator
KW - Non-constant solu-tion
KW - Pattern formation
KW - Stability
KW - Turing instability
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U2 - 10.3934/DCDSS.2020132
DO - 10.3934/DCDSS.2020132
M3 - Article
AN - SCOPUS:85093893831
SN - 1937-1632
VL - 13
SP - 2949
EP - 2973
JO - Discrete and Continuous Dynamical Systems - Series S
JF - Discrete and Continuous Dynamical Systems - Series S
IS - 11
ER -