Dynamics of a Diffusive Predator–Prey System with Fear Effect in Advective Environments

We explore a diffusive predator–prey system that incorporates the fear effect in advective environments. First, we analyze the eigenvalue problem and the adjoint operator, considering Constant-Flux and Dirichlet boundary conditions, as well as Free-Flow boundary conditions. Next, we use the principle of comparison to prove the non-negativity of the solution. Our investigation focuses on determining the direction and stability of spatial Hopf bifurcation, with the generation delay serving as the bifurcation parameter. Additionally, we examine the influence of both linear and Holling-II functional responses on the dynamics of the model. Through these analyses, we gain better understanding of the intricate relationship among advection, predation, and prey response in this system.

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Publication Details

Journal
International Journal of Bifurcation and Chaos
Published
2024-08-15
DOI
https://doi.org/10.1142/s0218127424501360
Citations
1
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.54

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article

Dynamics of a Diffusive Predator–Prey System with Fear Effect in Advective Environments

Yuan Yuan, Daifeng Duan, Ben Niu
1 citations
International Journal of Bifurcation and Chaos
Mathematical and Theoretical Epidemiology and Ecology Models
0.54
article

Dynamics of a Diffusive Predator–Prey System with Fear Effect in Advective Environments

Yuan Yuan, Daifeng Duan, Ben Niu
article en
1 citations

Abstract

We explore a diffusive predator–prey system that incorporates the fear effect in advective environments. First, we analyze the eigenvalue problem and the adjoint operator, considering Constant-Flux and Dirichlet boundary conditions, as well as Free-Flow boundary conditions. Next, we use the principle of comparison to prove the non-negativity of the solution. Our investigation focuses on determining the direction and stability of spatial Hopf bifurcation, with the generation delay serving as the bifurcation parameter. Additionally, we examine the influence of both linear and Holling-II functional responses on the dynamics of the model. Through these analyses, we gain better understanding of the intricate relationship among advection, predation, and prey response in this system.

International Journal of Bifurcation and ChaosVol. 34(11)
Memorial University of Newfoundland (CA), Harbin Institute of Technology (CN), Nanjing University of Posts and Telecommunications (CN)
Natural Science Foundation of Shandong Province, Natural Sciences and Engineering Research Council of Canada
Life below water
Openalex Percentile: Top 30%
Mathematical and Theoretical Epidemiology and Ecology Models
0.54
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