Defensive alliances in spatial models of cyclical population interactions

Research output: Contribution to journalArticle

50 Citations (Scopus)

Abstract

Defensive alliances in spatial models of cyclical population interactions were analyzed using Monte Carlo (MC) methods on square lattices. MC analysis was used to predict the stationary distribution of competing species. MC simulations were performed on a square lattice with periodic boundary conditions for different mutation rates and interaction topologies. It is found that the forming defensive alliances is a powerful mechanism of stable population coexistence in the case of symmetric food-web topology.

Original languageEnglish
Article number042902
Pages (from-to)429021-429024
Number of pages4
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume64
Issue number4 I
Publication statusPublished - Oct 2001

Fingerprint

Monte Carlo Method
Food Chain
Spatial Model
Population Dynamics
Mutation Rate
Square Lattice
topology
Topology
Food Web
Competing Species
mutations
Stationary Distribution
Periodic Boundary Conditions
Interaction
food
Coexistence
Monte Carlo method
Population
Mutation
Monte Carlo Simulation

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Condensed Matter Physics
  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Medicine(all)

Cite this

Defensive alliances in spatial models of cyclical population interactions. / Szabó, G.; Czárán, T.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 64, No. 4 I, 042902, 10.2001, p. 429021-429024.

Research output: Contribution to journalArticle

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