Modeling and analysis of a prey-predator system incorporating fear, predator-dependent refuge, and cannibalism

Ahmed Sami Abdulghafour, Raid Kamel Naji

Abstract


Using a mathematical model to simulate the interaction between prey and predator was suggested and researched. It was believed that the model would entail predator cannibalism and constant refuge in the predator population, while the prey population would experience predation fear and need for a predator-dependent refuge. This study aimed to examine the proposed model's long-term behavior and explore the effects of the model's key parameters. The model's solution was demonstrated to be limited and positive. All potential equilibrium points' existence and stability were tested. When possible, the appropriate Lyapunov function was utilized to demonstrate the equilibrium points' overall stability. The system's persistence requirements were specified. The circumstances of local bifurcation that could take place close to the equilibrium points were discovered. Numerical simulations were run to validate the model's obtained long-term behavior and comprehend the effects of the model's key parameters in order to confirm our analytical conclusions. It has been observed that the system may have numerous coexistence equilibrium points, leading to bi-stable behavior. The fear rate reduces the multiplicity of the equilibrium point and converts the bi-stable situation into a stable case, which stabilizes the system (1) up to the top particular value.

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Published: 2022-10-20

How to Cite this Article:

Ahmed Sami Abdulghafour, Raid Kamel Naji, Modeling and analysis of a prey-predator system incorporating fear, predator-dependent refuge, and cannibalism, Commun. Math. Biol. Neurosci., 2022 (2022), Article ID 106

Copyright © 2022 Ahmed Sami Abdulghafour, Raid Kamel Naji. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Commun. Math. Biol. Neurosci.

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