A computational predator–prey model, pursuit–evasion behavior based on different range of vision

Xueting Wang, Mingfeng He and Yibin Kang

Physica A: Statistical Mechanics and its Applications, 2012, vol. 391, issue 3, 664-672

Abstract: We studied an extended predator–prey model of three interacting species in a two-dimensional lattice. Numerous factors have been taken into account in our research such as individual mobility and pursuit–evasion abilities. Our major focus is on the stochastic character of vision distribution for predator and prey. The model we made displays the features upon the population evolving through time, the spatial distribution of population, and the cross correlation of three species. What we observed showed the increase of the predators’ pursuit ability works in a negative way on their population, although nature favors the predator with maximum ability during the evolution, and the increasing vision of predators causes the increase of the preys’ population. And the predators’ ability deficiency may lead to the extinction of their population. In addition, the results show that it is not necessary for prey to have more intelligent evasion abilities.

Keywords: Monte Carlo simulations; Predator–prey systems; Interaction (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:391:y:2012:i:3:p:664-672

DOI: 10.1016/j.physa.2011.09.012

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