Neutral species facilitate coexistence among cyclically competing species under birth and death processes

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Authors: Yikang Lu, Wenhao She, Xiaofang Duan, Junpyo Park
Cited by: 1
References: 45

Abstract

Natural birth and death are fundamental mechanisms of population dynamics in ecosystems and have played pivotal roles in shaping population dynamics. Nevertheless, in studies of cyclic competition systems governed by the rock-paper-scissors (RPS) game, these mechanisms have often been ignored in analyses of biodiversity. On the other hand, given the prevalence and profound impact on biodiversity, understanding how higher-order interactions (HOIs) can affect biodiversity is one of the most challenging issues, and thus, HOIs have been continuously studied for their effects on biodiversity in systems of cyclic competing populations, with a focus on neutral species. However, in real ecosystems, species can evolve and die naturally or be preyed upon by predators, whereas previous studies have considered only classic reaction rules among three species with a neutral, nonparticipant species. To identify how neutral species can affect the biodiversity of the RPS system when species' natural birth and death are assumed, we consider a model of neutral species in higher-order interactions within the spatial RPS system, assuming birth and death processes. Extensive simulations show that when neutral species interfere positively, they dominate the available space, thereby reducing the proportion of other species. Conversely, when the interference is harmful, the density of competing species increases. In addition, unlike traditional RPS dynamics, biodiversity can be effectively maintained even in high-mobility regimes. Our study reaffirms the critical role of neutral species in preserving biodiversity.

Fields of Study & Subjects

Evolutionary Game Theory and Cooperation Mathematical and Theoretical Epidemiology and Ecology Models Evolution and Genetic Dynamics

Publication details

Journal / source
Chaos An Interdisciplinary Journal of Nonlinear Science
Publisher
AIP Publishing
Volume
36
Issue
3
Publication date
1 March 2026
Language
EN