Spatiotemporal dynamics of a diffusive predator–prey model with fear effect

This paper concerned with a diffusive predator–prey model with fear effect. First, some basic dynamics of system is analyzed. Then based on stability analysis, we derive some conditions for stability and bifurcation of constant steady state. Furthermore, we derive some results on the existence and...

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Main Authors: Jia Liu, Yun Kang
Format: Article
Language:English
Published: Vilnius University Press 2022-05-01
Series:Nonlinear Analysis
Subjects:
Online Access:https://www.journals.vu.lt/nonlinear-analysis/article/view/27535
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author Jia Liu
Yun Kang
author_facet Jia Liu
Yun Kang
author_sort Jia Liu
collection DOAJ
description This paper concerned with a diffusive predator–prey model with fear effect. First, some basic dynamics of system is analyzed. Then based on stability analysis, we derive some conditions for stability and bifurcation of constant steady state. Furthermore, we derive some results on the existence and nonexistence of nonconstant steady states of this model by considering the effect of diffusion. Finally, we present some numerical simulations to verify our theoretical results. By mathematical and numerical analyses, we find that the fear can prevent the occurrence of limit cycle oscillation and increase the stability of the system, and the diffusion can also induce the chaos in the system.
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spelling doaj.art-0188a1ee04604765abdcf21a694779cd2022-12-22T00:41:13ZengVilnius University PressNonlinear Analysis1392-51132335-89632022-05-012710.15388/namc.2022.27.27535Spatiotemporal dynamics of a diffusive predator–prey model with fear effectJia Liu0Yun Kang1Jiangsu Vocational College of Electronics and InformationArizona State University This paper concerned with a diffusive predator–prey model with fear effect. First, some basic dynamics of system is analyzed. Then based on stability analysis, we derive some conditions for stability and bifurcation of constant steady state. Furthermore, we derive some results on the existence and nonexistence of nonconstant steady states of this model by considering the effect of diffusion. Finally, we present some numerical simulations to verify our theoretical results. By mathematical and numerical analyses, we find that the fear can prevent the occurrence of limit cycle oscillation and increase the stability of the system, and the diffusion can also induce the chaos in the system. https://www.journals.vu.lt/nonlinear-analysis/article/view/27535diffusionstabilityfear effectpredator–prey model
spellingShingle Jia Liu
Yun Kang
Spatiotemporal dynamics of a diffusive predator–prey model with fear effect
Nonlinear Analysis
diffusion
stability
fear effect
predator–prey model
title Spatiotemporal dynamics of a diffusive predator–prey model with fear effect
title_full Spatiotemporal dynamics of a diffusive predator–prey model with fear effect
title_fullStr Spatiotemporal dynamics of a diffusive predator–prey model with fear effect
title_full_unstemmed Spatiotemporal dynamics of a diffusive predator–prey model with fear effect
title_short Spatiotemporal dynamics of a diffusive predator–prey model with fear effect
title_sort spatiotemporal dynamics of a diffusive predator prey model with fear effect
topic diffusion
stability
fear effect
predator–prey model
url https://www.journals.vu.lt/nonlinear-analysis/article/view/27535
work_keys_str_mv AT jialiu spatiotemporaldynamicsofadiffusivepredatorpreymodelwithfeareffect
AT yunkang spatiotemporaldynamicsofadiffusivepredatorpreymodelwithfeareffect