Lotka-Volterra versus May-Leonard formulations of the spatial stochastic rock-paper-scissors model: The missing link

• Tipo: Artigo em Revista Científica Internacional
• Data: 2022

Autores

Avelino, PP (Autor) FCUP; de Oliveira, BF (Autor) Outra; Trintin, RS (Autor) Outra

Revista

Título: Physical review. E

Vol. 105

ISSN: 2470-0045

Editora: American Physical Society

Indexação

ISI Web of Knowledge - 4 Citações

Scopus - 5 Citações

Outras Informações

ID Authenticus: P-00W-80D

DOI: 10.1103/physreve.105.024309

Abstract (EN): The rock-paper-scissors (RPS) model successfully reproduces some of the main features of simple cyclic predator-prey systems with interspecific competition observed in nature. Still, lattice-based simulations of the spatial stochastic RPS model are known to give rise to significantly different results, depending on whether the three-state Lotka-Volterra or the four-state May-Leonard formulation is employed. This is true independently of the values of the model parameters and of the use of either a von Neumann or a Moore neighborhood. In this paper, we introduce a simple modification to the standard spatial stochastic RPS model in which the range of the search of the nearest neighbor may be extended up to a maximum Euclidean radius R. We show that, with this adjustment, the Lotka-Volterra and May-Leonard formulations can be designed to produce similar results, both in terms of dynamical properties and spatial features, by means of an appropriate parameter choice. In particular, we show that this modified spatial stochastic RPS model naturally leads to the emergence of spiral patterns in both its three- and four-state formulations.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6