2017
DOI: 10.1126/sciadv.1603201
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The effects of external cues on individual and collective behavior of shoaling fish

Abstract: We examine changes in interaction rules, predictability, and vigilance of x-ray tetras due to external food and alarm cues.

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Cited by 91 publications
(130 citation statements)
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References 53 publications
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“…This suggests that a shift in interaction rules, such as by changes in the environment, may alter the relationship between group speed and cohesion (see e.g. [28,29]). Individual speed also strongly drove the alignment and temporal coordination of the pairs, in line with previous empirical studies that found fast moving groups tend to be polarised and slow moving groups to be disordered [12,13,30].…”
Section: Discussionmentioning
confidence: 99%
“…This suggests that a shift in interaction rules, such as by changes in the environment, may alter the relationship between group speed and cohesion (see e.g. [28,29]). Individual speed also strongly drove the alignment and temporal coordination of the pairs, in line with previous empirical studies that found fast moving groups tend to be polarised and slow moving groups to be disordered [12,13,30].…”
Section: Discussionmentioning
confidence: 99%
“…Nutrition and foraging ability influence shoal choice decisions, both from the perspective of the choosing fish and in terms of the social attractiveness of potential shoaling partners. For instance, hungry and foraging fish are less likely to shoal in general (Hensor et al, 2003;Hoare et al, 2004;Schaerf et al, 2017) and exhibit different preferences for shoaling partners relative to their well-fed counterparts (Frommen et al, 2007a). Fish also show a preference for well-fed conspecifics over their leaner, hungrier counterparts, potentially as a means of either gaining access to information from successful foragers, or to reduce competition by associating with less motivated foragers (Krause et al, 1999;Sumpter et al, 2008).…”
Section: Nutrition Competitive Ability and Dominancementioning
confidence: 99%
“…The modeling of a complex living system requires much attention considering the large number of components or active particles, the multiple nonlinear interactions, and the emerging collective behaviors [1][2][3]. The evolution of a complex system and the related global collective behaviors is usually driven by an external event (a predator for a swarm, an alert for a crowd of pedestrians, a vaccine for a tumor); see, among others, [4][5][6] and the references cited therein. Accordingly, a suitable modeling framework needs to take into account the nonequilibrium conditions under which a complex living system operates.…”
Section: Introductionmentioning
confidence: 99%