dc.contributor.author | Su, Min | |
dc.contributor.author | Hui, Cang | |
dc.contributor.author | Zhang, Yanyu | |
dc.contributor.author | Li, Zizhen | |
dc.date.accessioned | 2009-08-15T09:14:11Z | |
dc.date.available | 2009-08-15T09:14:11Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Su, M., Hui, C., Zhang, Y. & Li, Z. (2008) Spatiotemporal dynamics of the epidemic transmission in a predator-prey system. Bulletin of Mathematical Biology, 70: 2195-2210. | en |
dc.identifier.issn | 0092-8240 | en |
dc.identifier.uri | http://hdl.handle.net/123456789/408 | |
dc.description.abstract | Epidemic transmission is one of the critical density-dependent mechanisms that affect species viability and dynamics. In a predator-prey system, epidemic transmission
can strongly affect the success probability of hunting, especially for social animals. Predators, therefore, will suffer from the positive density-dependence, i.e., Allee effect, due to epidemic transmission in the population. The rate of species contacting the epidemic, especially for those endangered or invasive, has largely increased due to the habitat destruction
caused by anthropogenic disturbance. Using ordinary differential equations and
cellular automata, we here explored the epidemic transmission in a predator-prey system. Results show that a moderate Allee effect will destabilize the dynamics, but it is not true for the extreme Allee effect (weak or strong). The predator-prey dynamics amazingly stabilize by the extreme Allee effect. Predators suffer the most from the epidemic disease at moderate transmission probability. Counter-intuitively, habitat destruction will benefit the control of the epidemic disease. The demographic stochasticity dramatically influences
the spatial distribution of the system. The spatial distribution changes from oil-bubble-like (due to local interaction) to aggregated spatially scattered points (due to local interaction and demographic stochasticity). It indicates the possibility of using human disturbance in habitat as a potential epidemic-control method in conservation. | en |
dc.description.sponsorship | This work was supported by the National Social Science Foundation of China (04AJL007) and the National Natural Science Foundation of China (30700100). C.H. also acknowledges the support from “Chunhui Project” (Department of Education, China) and from the DST-NRF Centre of Excellence for Invasion Biology, South Africa. | en |
dc.format.extent | 970994 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.subject | Eco-epidemiology | en |
dc.subject | Cellular automaton | en |
dc.subject | Ordinary differential equations | en |
dc.subject | Probability transition model | en |
dc.subject | Discrete event model | en |
dc.title | Spatiotemporal dynamics of the epidemic transmission in a predator-prey system | en |
dc.type | Journal Articles | en |
dc.cibjournal | Bulletin of Mathematical Biology | en |
dc.cibproject | NA | en |