Long-range acoustic interactions in insect swarms: an adaptive gravity model

Autor: Dan Gorbonos, Reuven Ianconescu, James G Puckett, Rui Ni, Nicholas T Ouellette, Nir S Gov
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: New Journal of Physics, Vol 18, Iss 7, p 073042 (2016)
Druh dokumentu: article
ISSN: 1367-2630
DOI: 10.1088/1367-2630/18/7/073042
Popis: The collective motion of groups of animals emerges from the net effect of the interactions between individual members of the group. In many cases, such as birds, fish, or ungulates, these interactions are mediated by sensory stimuli that predominantly arise from nearby neighbors. But not all stimuli in animal groups are short range. Here, we consider mating swarms of midges, which are thought to interact primarily via long-range acoustic stimuli. We exploit the similarity in form between the decay of acoustic and gravitational sources to build a model for swarm behavior. By accounting for the adaptive nature of the midges’ acoustic sensing, we show that our ‘adaptive gravity’ model makes mean-field predictions that agree well with experimental observations of laboratory swarms. Our results highlight the role of sensory mechanisms and interaction range in collective animal behavior. Additionally, the adaptive interactions that we present here open a new class of equations of motion, which may appear in other biological contexts.
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