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    Influence of coral cover and structural complexity on the accuracy of visual surveys of coral-reef fish communities

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    Type
    Article
    Authors
    Coker, Darren James cc
    Nowicki, J. P.
    Graham, N. A. J.
    KAUST Department
    Biological and Environmental Sciences and Engineering (BESE) Division
    Red Sea Research Center (RSRC)
    Date
    2017-04-19
    Online Publication Date
    2017-04-19
    Print Publication Date
    2017-06
    Permanent link to this record
    http://hdl.handle.net/10754/623853
    
    Metadata
    Show full item record
    Abstract
    Using manipulated patch reefs with combinations of varying live-coral cover (low, medium and high) and structural complexity (low and high), common community metrics (abundance, diversity, richness and community composition) collected through standard underwater visual census techniques were compared with exhaustive collections using a fish anaesthetic (clove oil). This study showed that reef condition did not influence underwater visual census estimates at a community level, but reef condition can influence the detectability of some small and cryptic species and this may be exacerbated if surveys are conducted on a larger scale.
    Citation
    Coker DJ, Nowicki JP, Graham NAJ (2017) Influence of coral cover and structural complexity on the accuracy of visual surveys of coral-reef fish communities. Journal of Fish Biology. Available: http://dx.doi.org/10.1111/jfb.13298.
    Sponsors
    We thank N. Coker for her assistance in the field and logistical support from Lizard Island Research Station staff. We also acknowledge all the fishes that were sacrificed for science. This study was part of a project funded by an ARC Australian Postdoctoral Fellowship to N.A.J.G. This study was completed in accordance with the JCU animal ethics board under permit number A1682
    Publisher
    Wiley
    Journal
    Journal of Fish Biology
    DOI
    10.1111/jfb.13298
    Additional Links
    http://onlinelibrary.wiley.com/doi/10.1111/jfb.13298/full
    ae974a485f413a2113503eed53cd6c53
    10.1111/jfb.13298
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Red Sea Research Center (RSRC)

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