Combination of survival movement strategies in cyclic game systems during an epidemic. (July 2022)

• Record Type: Journal Article
• Authors: Rangel, E.; Moura, B.; Menezes, J.
• Is Part Of: Bio systems. Volume 217(2022)
• Publication Date: 2022-07
• Subjects: Cyclic models -- Epidemic -- Stochastic simulations -- Behavioural strategies -- Social distancing; Biological systems -- Periodicals; Biology -- Periodicals; Biology -- Periodicals; Evolution -- Periodicals; Biologie -- Périodiques; Évolution -- Périodiques; 570
• DOI: 10.1016/j.biosystems.2022.104689
• Languages: English
• ISSNs: 0303-2647

Abstract

Abstract: Disease outbreaks affect many ecosystems threatening species that also fight against other natural enemies. We investigate a cyclic game system with 5 species, whose organisms outcompete according to the rules of a generalised spatial rock–paper–scissors game, during an epidemic. We study the effects of behavioural movement strategies that allow individuals of one out of the species to move towards areas with a low density of disease vectors and a high concentration of enemies of their enemies. We perform a series of stochastic simulations to discover the impact of self-preservation strategies in pattern formation, calculating the species' spatial autocorrelation functions. Considering organisms with different physical and cognitive abilities, we compute the benefits of each movement tactic to reduce selection and infection risks. Our findings show that the maximum profit in terms of territorial dominance in the cyclic game is achieved if both survival movement strategies are combined, with individuals prioritising social distancing. In the case of an epidemic causing symptomatic illness, the drop in infection risk when organisms identify and avoid disease vectors does not render a rise in the species population because many refuges are disregarded, limiting the benefits of safeguarding against natural enemies. Our results may be helpful to the understanding of the behavioural strategies in ecosystems where organisms adapt to face living conditions changes. Highlights: Spatial stochastic simulations of a cyclic game with five species in an epidemic are performed. Strategic movement of individuals of one out of the species to minimise enemies' attack and disease vectors are implemented. The reduction in the selection and infection risk produced by the Safeguard and Social Distancing strategies are quantified. The combination of survival strategies resulting in more accentuated population growth is found in the cases of asymptomatic and symptomatic illness.