Full Delay Logistic Population Model with Sustainable Harvesting

Martin Anokye, Elvis Kobina Donkoh, Michael Fosu Ofori and Agnes Adom-Konadu

Journal of Applied Mathematics, 2022, vol. 2022, issue 1

Abstract: The paper studies the dynamics of a full delay‐logistic population model incorporated with a proportionate harvesting function. The study discusses the stability of the model in comparison with the well‐known Hutchinson logistic growth equation with harvesting function using the rate of harvesting as a bifurcation parameter to determine sustainable harvesting rate even at a bigger time delay of τ = 3.00. In all cases, the Hutchinson equation with harvesting was forced to converge to equilibrium using an additional and a different time delay parameter, a deficiency previous researchers have failed to address when the Hutchinson model is used for this purpose. The population fluctuations are catered for with this model making the estimated maximum sustainable growth and harvest reflect realities as this model drastically reduces time‐delay associated oscillations compared to the well‐known Hutchinson delayed logistic models. The numerical simulations were be done using the MatLab Software.

Date: 2022
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https://doi.org/10.1155/2022/6777827

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Persistent link: https://EconPapers.repec.org/RePEc:wly:jnljam:v:2022:y:2022:i:1:n:6777827

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