Adaptive movement strategy in rock-paper-scissors models

Tenorio, M.; Rangel, E.; Menezes, J.

doi:10.1016/j.chaos.2022.112430

Cited by 15 publications

(12 citation statements)

References 44 publications

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“…Our outcomes can be generalised to cyclic game systems with an arbitrary odd number of species [45], where organisms adapt their mobility rate to escape being infected or eliminated by enemies [55,56]. Furthermore, besides being interpreted as an evolutionary behavioural strategy that organisms perform to protect themselves from disease surges, our results can be helpful to ecologists in creating ecosystem conservation strategies aiming to protect biodiversity from epidemic outbreaks [48,49].…”

Section: Discussionmentioning

confidence: 97%

Spatial organisation plasticity reduces disease infection risk in rock–paper–scissors models

2022

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Section: Discussionmentioning

confidence: 97%

Spatial organisation plasticity reduces disease infection risk in rock–paper–scissors models

2022

Self Cite

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“…Animals' mobility has also been investigated in behavioural ecology as an adaptive response to environmental changes threatening organisms' survival [11][12][13]. As the species evolves, organisms learn to scan the environment and interpret the signals captured from the neighbourhood; thus, adapting their movement to avoid hostile regions and reach comfort zones, where personal fitness is maximised [14][15][16][17][18][19][20][21][22][23]. Learning from animals' adaptive movement, engineers have created sophisticated tools to improve robots that imitate animals' response to environmental changes [24].…”

Section: Introductionmentioning

confidence: 99%

Mobility restrictions in response to local epidemic outbreaks in rock-paper-scissors models

Menezes¹

2023

Preprint

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We study a three-species cyclic model whose organisms are vulnerable to contamination with an infectious disease which propagates person-to-person. We consider that individuals of one species perform an evolutionary self-preservation strategy by reducing the mobility rate to minimise infection risk whenever an epidemic outbreak reaches the neighbourhood. Running stochastic simulations, we quantify the changes in spatial patterns induced by unevenness in the cyclic game introduced by the mobility restriction strategy of organisms of one out of the species. Our findings show that variations in disease virulence impact the benefits of dispersal limitation reaction, with the relative reduction of the organisms' infection risk accentuating in surges of less contagious or deadlier diseases. The effectiveness of the mobility restriction tactic depends on the tolerable fraction of infected neighbours used as a trigger of the defensive strategy and the deceleration level. If each organism promptly reacts to the arrival of the first viral vectors in its surroundings with strict mobility reduction, contamination risk decreases significantly. Our conclusions may help biologists understand the impact of evolutionary defensive strategies in ecosystems during an epidemic.

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“…We consider the existence of a region where one out of the species is strongly affected, inducing an unevenness in the spatial rock-paper-scissors selection rules. The investigation is performed by running stochastic simulations, widely used in literature to study biological systems [25][26][27][28][29][30][31][32][33][34][35][36][37][38]. We explore the geometric parameters of the area where one species is weakened and quantify the influence of the transition between spatial interactions within the region and far from it, where all organisms compete with the same strength.…”

Section: Introductionmentioning

confidence: 99%

Spatial patterns and biodiversity in rock-paper-scissors models with regional unevenness

Menezes

Tenorio

2023

J. Phys. Complex.

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Climate changes may affect ecosystems destabilising relationships among species. We investigate the spatial rock-paper-scissors models with a regional unevenness that reduces the selection capacity of organisms of one species. Our results show that the regionally weak species predominates in the local ecosystem, while spiral patterns appear far from the region, where individuals of every species play the rock-paper-scissors game with the same strength. Because the weak species controls all local territory, it is attractive for the other species to enter the local ecosystem to conquer the territory. However, our stochastic simulations show that the transitory waves formed when organisms of the strong species reach the region are quickly destroyed because of local strength unbalance in the selection game rules. Computing the effect of the topology on population dynamics, we find that the prevalence of the weak species becomes more significant if the transition of the selection capacity to the area of uneven rock-paper-scissors rules is smooth. Finally, our findings show that the biodiversity loss due to the arising of regional unevenness is minimised if the transition to the region where the cyclic game is unbalanced is abrupt. Our results may be helpful to biologists in comprehending the consequences of changes in the environmental conditions on species coexistence and spatial patterns in complex systems.

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Adaptive movement strategy in rock-paper-scissors models

Cited by 15 publications

References 44 publications

Spatial organisation plasticity reduces disease infection risk in rock–paper–scissors models

Spatial organisation plasticity reduces disease infection risk in rock–paper–scissors models

Mobility restrictions in response to local epidemic outbreaks in rock-paper-scissors models

Spatial patterns and biodiversity in rock-paper-scissors models with regional unevenness

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