Work

Saltatory targeting strategy in rock–paper–scissors models

Year: 2025

Type: article

Abstract: We explore how strategic leaps alter the classic rock–paper–scissors dynamics in spatially structured populations. In our model, individuals can expend energy reserves to jump toward regions with a high density of individuals of the species they dominate in the spatial game. This enables them to eliminate the target organisms and gain new territory, promoting species proliferation. Through stochastic, lattice-based simulations, we show that even when the energy allocated to jumping, as opposed to random walking, is low, there is a significant shift in the cyclic dominance balance. This arises from the increased likelihood of the leaping species successfully acquiring territory. Due to the cyclical nature of the game, the dominant species becomes the one that is superior to the jumping species. We investigate how spatial patterns are affected and calculate the changes in characteristic length scales. Additionally, we quantify how saltatory targeting reshapes spatial correlations and drives shifts in population dominance. Finally, we estimate the coexistence probability and find evidence that this behavioural strategy may promote biodiversity among low-mobility organisms but jeopardise long-term coexistence in the case of high-mobility dispersal. Our model provides a mechanistic, simulation-based contribution and offers testable predictions about how saltatory movement interacts with cyclic dominance. These results underscore the profound impact of novel foraging tactics on community structure and provide concrete parameters for ecologists seeking to incorporate behavioural innovation into ecosystem models. • Stochastic simulations of the rock–paper–scissors model with a saltatory targeting strategy are performed. • Changes in spatial patterns provoked by the behavioural strategy are explained. • Typical sizes of species’ spatial domains are calculated. • Benefits and harms to biodiversity are quantified.

Source: Chaos Solitons & Fractals

DOI: 10.1016/j.chaos.2025.117450

Authors: J. Menezes, R. Barbalho, Y. Sun

Institutions: Zuyd University of Applied Sciences, Universidade Federal da Bahia, Universidade Federal do Rio Grande do Norte, China University of Mining and Technology

Language: English

Topic: Evolutionary Game Theory and Cooperation

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Life on land

Open Access status: hybrid

Estimated APC paid: $3,970