Adaptive survival movement strategy to local epidemic outbreaks in cyclic models

TL;DR

This study investigates how adaptive movement strategies, like social distancing, influence species survival and spatial patterns in a five-species cyclic game facing local epidemic outbreaks, highlighting the importance of local adaptation.

Contribution

It introduces a model where organisms adaptively move based on local infection levels, demonstrating the impact on spatial dynamics and species dominance in cyclic interactions.

Findings

Adaptive movement enhances species territorial dominance.

Social distancing triggers improve survival chances.

Organisms perceiving larger distances execute strategies more effectively.

Abstract

We study the generalised rock-paper-scissors game with five species whose organisms face local epidemic outbreaks. As an evolutionary behavioural survival strategy, organisms of one out of the species move in the direction with more enemies of their enemies to benefit from protection against selection. We consider that each organism scans the environment, performing social distancing instead of agglomerating when perceiving that the density of sick organisms is higher than a tolerable threshold. Running stochastic simulations, we study the interference of the adaptive movement survival strategy in spatial pattern formation, calculating the characteristic length scale of the typical spatial domains inhabited by organisms of each species. We compute how social distancing trigger impacts the chances of an individual being killed in the cyclic game and contaminated by the disease. The outcomes show that the species predominates in the cyclic game because of the organisms' local adaptation. The territory occupied by the species grows with the proportion of individuals learning to trigger the social distancing tactic. We also show that organisms that perceive large distances more properly execute the adaptive strategy, promptly triggering the social distancing tactic and choosing the correct direction to move. Our findings may contribute to understanding the role of adaptive behaviour when environmental changes threaten biodiversity.