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Density dependent attributes of fish aggregative behaviour

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    0504818 - BC 2020 RIV GB eng J - Journal Article
    Holubová, Michaela - Čech, Martin - Vašek, Mojmír - Peterka, Jiří
    Density dependent attributes of fish aggregative behaviour.
    PeerJ. Roč. 7, FEB (2019), č. článku e6378. ISSN 2167-8359. E-ISSN 2167-8359
    R&D Projects: GA MŠMT(CZ) LM2015075; GA MŠMT(CZ) EF16_013/0001782; GA MŠMT(CZ) EF16_025/0007417
    Institutional support: RVO:60077344
    Keywords : open water * bream * shoaling * schooling * Perch
    OECD category: Ecology
    Impact factor: 2.379, year: 2019
    Method of publishing: Open access
    https://peerj.com/articles/6378.pdf

    Grouping behaviour, as fascinating as it is unclear, has lately drawn the attention of numerous researchers. While most of the authors focused their work on a mechanistic approach to the matter of schooling, this study explores the issue from a population point of view. Present camera observation study on the fish community carried out in the epipelagic habitat of a European temperate reservoir in the Czech Republic explored the relationship between density and aggregative features of predominantly cyprinid fish stock. Results demonstrated that schooling behaviour is triggered by the 'critical density' of fish in the habitat. School size as well as counts of schools and proportion of schooling individuals increased with the density of fish. Counts of clusters (observed units in time, including singletons, pairs and schools) and cluster size, on the other hand, showed a slowing tendency to increase. The slower increase implies the tendency of fish for not being frequent but rather to create larger groups. Altogether, our findings suggest that fish density is a triggering factor in the formation of large fish schools. As the tendency of cyprinid species for school formation could be an evolutional advantage responsible for dominance in later succession phases of water bodies, we suggest that more in situ studies should be encouraged for the proper understanding of the ecological interactions that drive the structure of aquatic ecosystems and for ensuring unbiased assessment.
    Permanent Link: http://hdl.handle.net/11104/0300370

     
     
Number of the records: 1  

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