3.8 Article

Spatial patterns and biodiversity in rock-paper-scissors models with regional unevenness

期刊

JOURNAL OF PHYSICS-COMPLEXITY
卷 4, 期 2, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/2632-072X/acd610

关键词

biodiversity; rock-paper-scissors models; regional unevenness; stochastic simulations; coexistence

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Climate changes can destabilize relationships among species in ecosystems. The research investigates spatial models with unevenness that weakens the selection capacity of one species. The results demonstrate that the weak species dominates the local ecosystem, and the prevalence of weak species is more significant with a smooth transition in selection capacity.
Climate changes may affect ecosystems destabilising relationships among species. We investigate the spatial rock-paper-scissors models with a regional unevenness that reduces the selection capacity of organisms of one species. Our results show that the regionally weak species predominates in the local ecosystem, while spiral patterns appear far from the region, where individuals of every species play the rock-paper-scissors game with the same strength. Because the weak species controls all local territory, it is attractive for the other species to enter the local ecosystem to conquer the territory. However, our stochastic simulations show that the transitory waves formed when organisms of the strong species reach the region are quickly destroyed because of local strength unbalance in the selection game rules. Computing the effect of the topology on population dynamics, we find that the prevalence of the weak species becomes more significant if the transition of the selection capacity to the area of uneven rock-paper-scissors rules is smooth. Finally, our findings show that the biodiversity loss due to the arising of regional unevenness is minimised if the transition to the region where the cyclic game is unbalanced is abrupt. Our results may be helpful to biologists in comprehending the consequences of changes in the environmental conditions on species coexistence and spatial patterns in complex systems.

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