Publication: Predator-prey interaction coupled by parasitic infection: Limit cycles and chaotic behavior
Issued Date
1999-11-01
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ISSN
08957177
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2-s2.0-0033230029
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Mahidol University
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SCOPUS
Bibliographic Citation
Mathematical and Computer Modelling. Vol.30, No.9-10 (1999), 131-146
Suggested Citation
Y. Lenbury, S. Rattanamongkonkul, N. Tumrasvin, S. Amornsamankul Predator-prey interaction coupled by parasitic infection: Limit cycles and chaotic behavior. Mathematical and Computer Modelling. Vol.30, No.9-10 (1999), 131-146. doi:10.1016/S0895-7177(99)00186-7 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/25392
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Title
Predator-prey interaction coupled by parasitic infection: Limit cycles and chaotic behavior
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Abstract
Several extensive studies have been carried out to document the ability of parasites to alter the behavior of infected hosts [1-3]. In this paper, we discuss the population dynamic consequences of parasite-induced changes in the behavior of the two interacting species in a predator-prey system, by means of the development and analysis of mathematical models. First, in order to investigate the dynamic consequences of the parasite-induced changes in the foraging ability of the predator population, a model is proposed for the predator-prey system in which only the predator population is invaded by a parasite. Thus, the predator population can be divided into two groups, namely the susceptible members and the infected ones. Analysis of the model is accomplished through a singular perturbation argument, whereby explicit conditions are derived which differentiate various dynamic behaviors and show the existence of limit cycles, explaining the oscillatory patterns often observed in field data. Parasite-induced changes in the prey's susceptibility to predation can also be modelled by a system of nonlinear differential equations [4] in which the prey population is divided into two classes; the susceptible members and the infectives, while the entire predator population is assumed to be infected with the parasite. Finally, a numerical investigation is carried out on the full four-dimensional model in which both the prey and predator populations are divided each into an infected group and a susceptible one. Bifurcation diagram is constructed in order to identify the ranges of the system parametric values for which chaotic behavior can be expected.