Long-range Acoustic Interactions in Insect Swarms: An Adaptive Gravity Model


  Dan Gorbonos [1]  ,  Reuven Ianconescu [1,2]  ,  James G. Puckett [3]  ,  Rui Ni [4]  ,  Nicholas T. Ouellette [4]  ,  Nir S. Gov [1]  
[1] Department of Chemical Physics, The Weizmann Institute of Science, P.O. Box 26, Rehovot, Israel 76100
[2] Shenkar College of Engineering and Design, Ramat-Gan, Israel
[3] Department of Physics, Gettysburg College, Gettsyburg, Pennsylvania 17325, USA
[4] Department of Mechanical Engineering & Materials Science, Yale University, New Haven, Connecticut 06520, USA

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. We consider mating swarms of midges, which 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.
The adaptive interactions that we present here open a new class of equations of motion, which may
appear in other biological contexts.