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Spatial Buffering Mechanism: Mathematical Model and Computer Simulations
2005, 2(4): 703-717. doi: 10.3934/mbe.2005.2.703

Predator-Prey Dynamics with Disease in the Prey

 1 Department of Mathematics and Statistics, University of North Florida, 4567 St. Johns Bluff Road, Jacksonville, FL 32224, United States

Received  January 2005 Revised  September 2005 Published  October 2005

The Holling-Tanner model for predator-prey systems is adapted to incorporate the spread of disease in the prey. The analysis of the dynamics centers on bifurcation diagrams in which the disease transmission rate is the primary parameter. The ecologically reasonable assumption that the diseased prey are easier to catch enables tractable analytic results to be obtained for the stability of the steady states and the locations of Hopf bifurcation points as a function of the ecological parameters. Two parameters of particular relevance are the ratio of the predator's intrinsic growth rate to the prey's growth rate and the maximum number of infected prey that can be eaten per time. The dynamics are shown to be qualitatively different depending on the comparative size of these parameters. Numerical results obtained with AUTO are used to extend the local analysis and further illustrate the rich dynamics.
Citation: Peter A. Braza. Predator-Prey Dynamics with Disease in the Prey. Mathematical Biosciences & Engineering, 2005, 2 (4) : 703-717. doi: 10.3934/mbe.2005.2.703
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