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Title: Inferring the rules of interaction of shoaling fish
Contributor(s): Herbert-Read, James E (author); Perna, Andrea (author); Mann, Richard P (author); Schaerf, Timothy  (author)orcid ; Sumpter, David J T (author); Ward, Ashley J W (author)
Publication Date: 2011
Open Access: Yes
DOI: 10.1073/pnas.1109355108Open Access Link
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Abstract: Collective motion, where large numbers of individuals move synchronously together, is achieved when individuals adopt interaction rules that determine how they respond to their neighbors' movements and positions. These rules determine how group-living animals move, make decisions, and transmit information between individuals. Nonetheless, few studies have explicitly determined these interaction rules in moving groups, and very little is known about the interaction rules of fish. Here, we identify three key rules for the social interactions of mosquitofish ('Gambusia holbrooki'): (i) Attraction forces are important in maintaining group cohesion, while we find only weak evidence that fish align with their neighbor's orientation; (ii) repulsion is mediated principally by changes in speed; (iii) although the positions and directions of all shoal members are highly correlated, individuals only respond to their single nearest neighbor. The last two of these rules are different from the classical models of collective animal motion, raising new questions about how fish and other animals self-organize on the move.
Publication Type: Journal Article
Source of Publication: Proceedings of the National Academy of Sciences, 108(46), p. 18726-18731
Publisher: National Academy of Sciences
Place of Publication: United States of America
ISSN: 1091-6490
Fields of Research (FoR) 2008: 010202 Biological Mathematics
060201 Behavioural Ecology
060801 Animal Behaviour
Fields of Research (FoR) 2020: 310901 Animal behaviour
310301 Behavioural ecology
490102 Biological mathematics
Socio-Economic Objective (SEO) 2008: 970101 Expanding Knowledge in the Mathematical Sciences
970106 Expanding Knowledge in the Biological Sciences
Socio-Economic Objective (SEO) 2020: 280102 Expanding knowledge in the biological sciences
280118 Expanding knowledge in the mathematical sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article

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