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

Dan Gorbonos, Reuven Ianconescu, James G. Puckett, Rui Ni, Nicholas T. Ouellette, Nir S. Gov

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number073042
JournalNew Journal of Physics
Volume18
Issue number7
DOIs
StatePublished - Jul 2016

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

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