Combined impact of fear and Allee effect in predator-prey interaction models on their growth
Al Amri, Kawkab Abdullah Nabhan and Khan, Qamar J A and Greenhalgh, David (2024) Combined impact of fear and Allee effect in predator-prey interaction models on their growth. Mathematical Biosciences and Engineering, 21 (10). pp. 7211-7252. ISSN 1551-0018 (https://doi.org/10.3934/mbe.2024319)
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Abstract
We considered predator-prey models which incorporated both an Allee effect and a new fear factor effect together, and where the predator predated the prey with a Holling type I functional response. We started off with a two-dimensional model where we found possible equilibria and examined their stabilities. By using the predator mortality rate as the bifurcation parameter, the model exhibited Hopf-bifurcation for the coexistence equilibrium. Furthermore, our numerical illustrations demonstrated the effect of fear and the Allee effect on the population densities, and we found that the level of fear had little impact on the long-term prey population level. The population of predators, however, declined as the fear intensity rose, indicating that the fear effect might result in a decline in the predator population. The dynamics of the delayed system were examined and Hopf-bifurcation was discussed. Finally, we looked at an eco-epidemiological model that took into account the same cost of fear and the Allee effect. In this model, the prey was afflicted with a disease. The prey was either susceptible or infected. Numerical simulations were carried out to show that as the Allee threshold rose, the uninfected prey and predator decreased, while the population of infected prey increased. When the Allee threshold hit a certain value, all populations became extinct. As fear intensity increased, the population of uninfected prey decreased, and beyond a certain level of fear, habituation prevented the uninfected prey from changing. After a certain level of fear, the predator population went extinct and, as a result, the only interaction left was between uninfected and infected prey which increased disease transmission, and so the infected prey increased. Hopf-bifurcation was studied by taking the time delay as the bifurcation parameter. We estimated the delay length to preserve stability.
ORCID iDs
Al Amri, Kawkab Abdullah Nabhan, Khan, Qamar J A and Greenhalgh, David ORCID: https://orcid.org/0000-0001-5380-3307;-
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Item type: Article ID code: 90792 Dates: DateEvent8 October 2024Published18 September 2024AcceptedSubjects: Science > Mathematics > Analysis Department: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 08 Oct 2024 14:41 Last modified: 17 Nov 2024 01:26 URI: https://strathprints.strath.ac.uk/id/eprint/90792