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Random walks with spatial and temporal resets can explain individual and colony-level searching patterns in ants.
Lecheval, Valentin; Robinson, Elva J H; Mann, Richard P.
Afiliación
  • Lecheval V; Department of Biology, Institute for Theoretical Biology, Humboldt Universität zu Berlin , Berlin, Germany.
  • Robinson EJH; Science of Intelligence, Research Cluster of Excellence , Berlin, Germany.
  • Mann RP; School of Mathematics, University of Leeds , Leeds, UK.
J R Soc Interface ; 21(216): 20240149, 2024 Jul.
Article en En | MEDLINE | ID: mdl-39081113
ABSTRACT
Central place foragers, such as many ants, exploit the environment around their nest. The extent of their foraging range is a function of individual movement, but how the movement patterns of large numbers of foragers result in an emergent colony foraging range remains unclear. Here, we introduce a random walk model with stochastic resetting to depict the movements of searching ants. Stochastic resetting refers to spatially resetting at random times the position of agents to a given location, here the nest of searching ants. We investigate the effect of a range of resetting mechanisms and compare the macroscopic predictions of our model to laboratory and field data. We find that all returning mechanisms very robustly ensure that scouts exploring the surroundings of a nest will be exponentially distributed with distance from the nest. We also find that a decreasing probability for searching ants to return to their nest is compatible with empirical data, resulting in scouts going further away from the nest as the number of foraging trips increases. Our findings highlight the importance of resetting random walk models for depicting the movements of central place foragers and nurture novel questions regarding the searching behaviour of ants.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hormigas / Modelos Biológicos Límite: Animals Idioma: En Revista: J R Soc Interface Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hormigas / Modelos Biológicos Límite: Animals Idioma: En Revista: J R Soc Interface Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido