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Optimal Culling and Biocontrol in a Predator–Prey Model

Overview of attention for article published in Bulletin of Mathematical Biology, October 2016
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Title
Optimal Culling and Biocontrol in a Predator–Prey Model
Published in
Bulletin of Mathematical Biology, October 2016
DOI 10.1007/s11538-016-0228-3
Pubmed ID
Authors

Eric Numfor, Frank M. Hilker, Suzanne Lenhart

Abstract

Invasive species cause enormous problems in ecosystems around the world. Motivated by introduced feral cats that prey on bird populations and threaten to drive them extinct on remote oceanic islands, we formulate and analyze optimal control problems. Their novelty is that they involve both scalar and time-dependent controls. They represent different forms of control, namely the initial release of infected predators on the one hand and culling as well as trapping, infecting, and returning predators on the other hand. Combinations of different control methods have been proposed to complement their respective strengths in reducing predator numbers and thus protecting endangered prey. Here, we formulate and analyze an eco-epidemiological model, provide analytical results on the optimal control problem, and use a forward-backward sweep method for numerical simulations. By taking into account different ecological scenarios, initial conditions, and control durations, our model allows to gain insight how the different methods interact and in which cases they could be effective.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Bachelor 4 15%
Other 3 11%
Student > Ph. D. Student 3 11%
Professor > Associate Professor 2 7%
Other 2 7%
Unknown 7 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 30%
Biochemistry, Genetics and Molecular Biology 4 15%
Mathematics 2 7%
Veterinary Science and Veterinary Medicine 1 4%
Environmental Science 1 4%
Other 2 7%
Unknown 9 33%