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Article Dans Une Revue PLoS Computational Biology Année : 2023

Tuning social interactions’ strength drives collective response to light intensity in schooling fish

Tingting Xue
  • Fonction : Auteur
Xu Li
Guozheng Lin
  • Fonction : Auteur
Zhangang Han
  • Fonction : Auteur
Xiaosong Chen
  • Fonction : Auteur

Résumé

Schooling fish heavily rely on visual cues to interact with neighbors and avoid obstacles. The availability of sensory information is influenced by environmental conditions and changes in the physical environment that can alter the sensory environment of the fish, which in turn affects individual and group movements. In this study, we combine experiments and data-driven modeling to investigate the impact of varying levels of light intensity on social interactions and collective behavior in rummy-nose tetra fish. The trajectories of single fish and groups of fish swimming in a tank under different lighting conditions were analyzed to quantify their movements and spatial distribution. Interaction functions between two individuals and the fish interaction with the tank wall were reconstructed and modeled for each light condition. Our results demonstrate that light intensity strongly modulates social interactions between fish and their reactions to obstacles, which then impact collective motion patterns that emerge at the group level.
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Dates et versions

hal-04361175 , version 1 (22-12-2023)

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Tingting Xue, Xu Li, Guozheng Lin, Ramón Escobedo, Zhangang Han, et al.. Tuning social interactions’ strength drives collective response to light intensity in schooling fish. PLoS Computational Biology, 2023, 19 (11), pp.e1011636. ⟨10.1371/journal.pcbi.1011636⟩. ⟨hal-04361175⟩
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