Publication: Predator-prey interaction coupled by parasitic infection: Limit cycles and chaotic behavior
dc.contributor.author | Y. Lenbury | en_US |
dc.contributor.author | S. Rattanamongkonkul | en_US |
dc.contributor.author | N. Tumrasvin | en_US |
dc.contributor.author | S. Amornsamankul | en_US |
dc.contributor.other | Mahidol University | en_US |
dc.date.accessioned | 2018-09-07T08:50:02Z | |
dc.date.available | 2018-09-07T08:50:02Z | |
dc.date.issued | 1999-11-01 | en_US |
dc.description.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. | en_US |
dc.identifier.citation | Mathematical and Computer Modelling. Vol.30, No.9-10 (1999), 131-146 | en_US |
dc.identifier.doi | 10.1016/S0895-7177(99)00186-7 | en_US |
dc.identifier.issn | 08957177 | en_US |
dc.identifier.other | 2-s2.0-0033230029 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/25392 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0033230029&origin=inward | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Mathematics | en_US |
dc.title | Predator-prey interaction coupled by parasitic infection: Limit cycles and chaotic behavior | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0033230029&origin=inward | en_US |