The stochastic nature of predator-prey cycles


Autoria(s): Tome, Tania; Rodrigues, Áttila Leães; Arashiro, Everaldo; Oliveira, Mario Jose de
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2009

Resumo

We study by numerical simulations the time correlation function of a stochastic lattice model describing the dynamics of coexistence of two interacting biological species that present time cycles in the number of species individuals. Its asymptotic behavior is shown to decrease in time as a sinusoidal exponential function from which we extract the dominant eigenvalue of the evolution operator related to the stochastic dynamics showing that it is complex with the imaginary part being the frequency of the population cycles. The transition from the oscillatory to the nonoscillatory behavior occurs when the asymptotic behavior of the time correlation function becomes a pure exponential, that is, when the real part of the complex eigenvalue equals a real eigenvalue. We also show that the amplitude of the undamped oscillations increases with the square root of the area of the habitat as ordinary random fluctuations. (C) 2009 Elsevier B.V. All rights reserved.

Identificador

COMPUTER PHYSICS COMMUNICATIONS, v.180, n.4, p.536-539, 2009

0010-4655

http://producao.usp.br/handle/BDPI/29229

10.1016/j.cpc.2009.01.005

http://dx.doi.org/10.1016/j.cpc.2009.01.005

Idioma(s)

eng

Publicador

ELSEVIER SCIENCE BV

Relação

Computer Physics Communications

Direitos

restrictedAccess

Copyright ELSEVIER SCIENCE BV

Palavras-Chave #Population dynamics #Population cycles #Predator-prey systems #LOTKA-VOLTERRA MODEL #CELLULAR-AUTOMATON #LATTICE MODEL #SYSTEM #POPULATIONS #COEXISTENCE #BEHAVIOR #Computer Science, Interdisciplinary Applications #Physics, Mathematical
Tipo

article

proceedings paper

publishedVersion