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Using Massively-Parallel Supercomputers to Model Stochastic Spatial Predator-Prey Systems (1991)
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BibTeX
@MISC{Smith91usingmassively-parallel,
author = {Mark Smith},
title = {Using Massively-Parallel Supercomputers to Model Stochastic Spatial Predator-Prey Systems},
year = {1991}
}
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Abstract
Massively parallel supercomputers open the door to extensive study of ecological simulations that in the past have required prohibitive amounts of computation time. An implementation of a stochastic spatial predator-prey model on such a supercomputer is described. A model that can produce Volterra type oscillations, is extended to study the effectiveness of preferential migration rules for predators and prey. A comparison of various predator migration rules, and results of an initial investigation into the effects produced by mutation of predator migration rates are given. 1 1 Introduction For over eighty years scientists have been using mathematical techniques to study the dynamics of animal populations [Lotka, 1925, Volterra, 1926]. In the recent past concern has been expressed by den Boer [den Boer, 1981] at the reality of "universal deterministic models". He showed that, in a heterogeneous environment, dispersion of prey is necessary to ensure the survival of isolated po...
Keyphrases
model stochastic spatial predator-prey system massively-parallel supercomputer stochastic spatial predator-prey model universal deterministic model recent past concern various predator migration rule heterogeneous environment volterra type oscillation preferential migration rule eighty year scientist den boer den boer mathematical technique parallel supercomputer isolated po animal population ecological simulation prohibitive amount initial investigation computation time predator migration rate
