Literature DB >> 28417322

Are midge swarms bound together by an effective velocity-dependent gravity?

Andrew M Reynolds1, Michael Sinhuber2, Nicholas T Ouellette2.   

Abstract

Midge swarms are a canonical example of collective animal behaviour where local interactions do not clearly play a major role and yet the animals display group-level cohesion. The midges appear somewhat paradoxically to be tightly bound to the swarm whilst at the same time weakly coupled inside it. The microscopic origins of this behaviour have remained elusive. Models based on Newtonian gravity do, however, agree well with experimental observations of laboratory swarms. They are biologically plausible since gravitational interactions have similitude with long-range acoustic and visual interactions, and they correctly predict that individual attraction to the swarm centre increases linearly with distance from the swarm centre. Here we show that the observed kinematics implies that this attraction also increases with an individual's flight speed. We find clear evidence for such an attractive force in experimental data.

Entities:  

Keywords:  Living systems: Biological Matter

Mesh:

Year:  2017        PMID: 28417322     DOI: 10.1140/epje/i2017-11531-7

Source DB:  PubMed          Journal:  Eur Phys J E Soft Matter        ISSN: 1292-8941            Impact factor:   1.890


  6 in total

1.  Environmental perturbations induce correlations in midge swarms.

Authors:  Kasper van der Vaart; Michael Sinhuber; Andrew M Reynolds; Nicholas T Ouellette
Journal:  J R Soc Interface       Date:  2020-03-25       Impact factor: 4.118

2.  Stochastic modelling of bird flocks: accounting for the cohesiveness of collective motion.

Authors:  Andy M Reynolds; Guillam E McIvor; Alex Thornton; Patricia Yang; Nicholas T Ouellette
Journal:  J R Soc Interface       Date:  2022-04-20       Impact factor: 4.293

3.  Langevin dynamics encapsulate the microscopic and emergent macroscopic properties of midge swarms.

Authors:  A M Reynolds
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

4.  The optimal movement patterns for mating encounters with sexually asymmetric detection ranges.

Authors:  Nobuaki Mizumoto; Shigeto Dobata
Journal:  Sci Rep       Date:  2018-02-20       Impact factor: 4.379

5.  Mechanical spectroscopy of insect swarms.

Authors:  Kasper van der Vaart; Michael Sinhuber; Andrew M Reynolds; Nicholas T Ouellette
Journal:  Sci Adv       Date:  2019-07-10       Impact factor: 14.136

6.  On the emergence of gravitational-like forces in insect swarms.

Authors:  Andy M Reynolds
Journal:  J R Soc Interface       Date:  2019-11-13       Impact factor: 4.118

  6 in total

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