4.3 Article

Locally adaptive aggregation of organisms under death risk in rock-paper-scissors models

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BIOSYSTEMS
卷 227, 期 -, 页码 -

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ELSEVIER SCI LTD
DOI: 10.1016/j.biosystems.2023.104901

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Population dynamics; Cyclic models; Stochastic simulations; Behavioural strategies

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We conducted stochastic simulations of the spatial rock-paper-scissors game, taking into account the use of sensory abilities by individuals to detect enemies. Our findings indicate that locally adaptive aggregation is beneficial when opponents' density is below 30%, but may increase the average death risk at higher opponent densities. Furthermore, we show that organisms with greater sensing abilities can maximize the effects of locally adaptive aggregation on death risk. The promotion of biodiversity through locally adaptive aggregation behavior is independent of organism mobility and holds true for complex systems with multiple species.
We run stochastic simulations of the spatial version of the rock-paper-scissors game, considering that individuals use sensory abilities to scan the environment to detect the presence of enemies. If the local dangerousness level is above a tolerable threshold, individuals aggregate instead of moving randomly on the lattice. We study the impact of the locally adaptive aggregation on the organisms' spatial organisation by measuring the characteristic length scale of the spatial domains occupied by organisms of a single species. Our results reveal that aggregation is beneficial if triggered when the local density of opponents does not exceed 30%; otherwise, the behavioural strategy may harm individuals by increasing the average death risk. We show that if organisms can perceive further distances, they can accurately scan and interpret the signals from the neighbourhood, maximising the effects of the locally adaptive aggregation on the death risk. Finally, we show that the locally adaptive aggregation behaviour promotes biodiversity independently of the organism's mobility. The coexistence probability rises if organisms join conspecifics, even in the presence of a small number of enemies. We verify that our conclusions hold for more complex systems by simulating the generalised rock-paper-scissors models with five and seven species. Our discoveries may be helpful to ecologists in understanding systems where organisms' self-defence behaviour adapts to local environmental cues.

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