2015
DOI: 10.4236/oje.2015.54010
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Optimal Control of a Threatened Wildebeest-Lion Prey-Predator System in the Serengeti Ecosystem

Abstract: We develop a two-species prey-predator model in which prey is wildebeest and predator is lion. The threats to wildebeest are poaching and drought while to lion are retaliatory killing and drought. The system is found in the Serengeti ecosystem. Optimal control theory is applied to investigate optimal strategies for controlling the threats in the system where anti-poaching patrols are used for poaching, construction of strong bomas for retaliatory killing and construction of dams for drought control. The possib… Show more

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Cited by 12 publications
(26 citation statements)
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“…The technique uses Runge-Kutta 4th order numerical method (RK4) in solving the optimal control problem. The following scholars [5] [18] [23],…”
Section: Numerical Results Of the Model With Controlmentioning
confidence: 99%
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“…The technique uses Runge-Kutta 4th order numerical method (RK4) in solving the optimal control problem. The following scholars [5] [18] [23],…”
Section: Numerical Results Of the Model With Controlmentioning
confidence: 99%
“…The dynamics of predator-prey interactions is affected by factors such as over-harvesting, over predation, environmental pollution, mismanagement of the habitat, and hazards fire and drought. It has been recognized that many species in the ecosystem, have been pushed to extinction and many others are at the point of extinction due to interaction with the above mentioned factors [5]. From the bottom-up theory of community ecology, prey population density determines the predator's population density since predators depend on prey as their only source of food.…”
Section: Introductionmentioning
confidence: 99%
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