Spatiotemporal dynamics of a predator-prey system with fear effect
•A diffusive predator-prey system with the effect of fear due to predator population.•Performed qualitative properties of model, including positivity, boundedness, existence of steady states and their local stability, transcritical and Hopf bifurcation.•We explored how behavioral modification in pre...
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| Published in | Journal of the Franklin Institute Vol. 360; no. 11; pp. 7380 - 7414 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
01.07.2023
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| Online Access | Get full text |
| ISSN | 0016-0032 1879-2693 |
| DOI | 10.1016/j.jfranklin.2023.05.034 |
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| Abstract | •A diffusive predator-prey system with the effect of fear due to predator population.•Performed qualitative properties of model, including positivity, boundedness, existence of steady states and their local stability, transcritical and Hopf bifurcation.•We explored how behavioral modification in prey species due to fear of predator and mutual interference between predators can create different spatiotemporal patterns in population distribution.•In case of diffusive system, we provide a detailed stability analysis and obtain the conditions for Turing instability.•Our simulation results reveal that the diffusion-driven instability creates various spatio-temporal patterns including warm spot pattern for three different initial data.
Recent field experiments on vertebrates show that though mere presence of a predator causes a dramatic change in prey demography, the fear of predators increases the survival probability of prey leading to a cost of prey production. Based on the experimental findings, we proposed and analyzed a mathematical model that incorporates the fear-induced birth reduction in the prey population due to presence of predator. A modified and more realistic fear function is proposed in this study. Qualitative behavior of the model is performed including positivity and boundedness of solutions, existence of critical points and their local stability analysis, existence of transcritical and Hopf bifurcation. We analyzed Hopf bifurcation with respect to the prey growth rate and the level of fear. Transcritical bifurcation is analyzed by varying the prey growth rate. Distribution of the population of interacting species in a large scale natural system is heterogeneous and subject to alter for different reasons. Thus, we investigate how behavioral modification in prey population due to fear for predators and mutual interference among predator species can create various spatiotemporal pattern formation in population distribution. In the spatially extended system, we provide a detailed stability analysis and obtain the conditions for Turing instability. Numerical simulations are performed to validate analytical results for both non-spatial and spatial models. Warm spot patterns are obtained by considering three different types of initial data and discussed the biological significance of these patterns for the two-dimensional spatial model. Our numerical simulation demonstrates that the fear effect in a diffusive predator-prey system with mutual interference between predators may exhibit more complicated dynamics. |
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| AbstractList | •A diffusive predator-prey system with the effect of fear due to predator population.•Performed qualitative properties of model, including positivity, boundedness, existence of steady states and their local stability, transcritical and Hopf bifurcation.•We explored how behavioral modification in prey species due to fear of predator and mutual interference between predators can create different spatiotemporal patterns in population distribution.•In case of diffusive system, we provide a detailed stability analysis and obtain the conditions for Turing instability.•Our simulation results reveal that the diffusion-driven instability creates various spatio-temporal patterns including warm spot pattern for three different initial data.
Recent field experiments on vertebrates show that though mere presence of a predator causes a dramatic change in prey demography, the fear of predators increases the survival probability of prey leading to a cost of prey production. Based on the experimental findings, we proposed and analyzed a mathematical model that incorporates the fear-induced birth reduction in the prey population due to presence of predator. A modified and more realistic fear function is proposed in this study. Qualitative behavior of the model is performed including positivity and boundedness of solutions, existence of critical points and their local stability analysis, existence of transcritical and Hopf bifurcation. We analyzed Hopf bifurcation with respect to the prey growth rate and the level of fear. Transcritical bifurcation is analyzed by varying the prey growth rate. Distribution of the population of interacting species in a large scale natural system is heterogeneous and subject to alter for different reasons. Thus, we investigate how behavioral modification in prey population due to fear for predators and mutual interference among predator species can create various spatiotemporal pattern formation in population distribution. In the spatially extended system, we provide a detailed stability analysis and obtain the conditions for Turing instability. Numerical simulations are performed to validate analytical results for both non-spatial and spatial models. Warm spot patterns are obtained by considering three different types of initial data and discussed the biological significance of these patterns for the two-dimensional spatial model. Our numerical simulation demonstrates that the fear effect in a diffusive predator-prey system with mutual interference between predators may exhibit more complicated dynamics. |
| Author | Khajanchi, Subhas Sarkar, Kankan |
| Author_xml | – sequence: 1 givenname: Kankan surname: Sarkar fullname: Sarkar, Kankan organization: Department of Mathematics, Malda College, Malda, West Bengal 732101, India – sequence: 2 givenname: Subhas orcidid: 0000-0002-6533-1121 surname: Khajanchi fullname: Khajanchi, Subhas email: subhaskhajanchi@gmail.com organization: Department of Mathematics, Presidency University, 86/1 College Street,Kolkata 700073, India |
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