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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A probabilistic cellular automata model for the dynamics of a population driven by logistic growth and weak Allee effect

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Author(s):
Mendonca, J. R. G.
Total Authors: 1
Document type: Journal article
Source: Journal of Physics A-Mathematical and Theoretical; v. 51, n. 14 APR 6 2018.
Web of Science Citations: 2
Abstract

We propose and investigate a one-parameter probabilistic mixture of one-dimensional elementary cellular automata under the guise of a model for the dynamics of a single-species unstructured population with nonoverlapping generations in which individuals have smaller probability of reproducing and surviving in a crowded neighbourhood but also suffer from isolation and dispersal. Remarkably, the first-order mean field approximation to the dynamics of the model yields a cubic map containing terms representing both logistic and weak Allee effects. The model has a single absorbing state devoid of individuals, but depending on the reproduction and survival probabilities can achieve a stable population. We determine the critical probability separating these two phases and find that the phase transition between them is in the directed percolation universality class of critical behaviour. (AU)

FAPESP's process: 15/21580-0 - Analysis and simulation of random walks and exclusion processes over graphs
Grantee:José Ricardo Gonçalves de Mendonça
Support Opportunities: Regular Research Grants