Repeatability of baited remote underwater video station (BRUVS) results within and between seasons

Complete dataset for "Repeatability of baited remote underwater video station (BRUVS) results within and between seasons" in PLoS ONE by: C. Samantha Sherman, Michelle R. Heupel, Mohini Johnson, Muslimin Kaimuddin, L.M. Sjamsul Qamar,Andrew Chin,Colin A. Simpfendorfer.

Abstract [Related Publication]: Baited remote underwater video stations (BRUVS) are increasingly being used to evaluate and monitor reef communities. Many BRUVS studies compare multiple sites sampled at single time points that may differ from the sampling time of another site. As BRUVS use grows in its application to provide data relevant to sustainable management, marine protected area success, and overall reef health, understanding repeatability of sampling results is vital. We examined the repeatability of BRUVS results for the elasmobranch community both within and between seasons and years, and explored environmental factors affecting abundances at two sites in Indonesia. On 956 BRUVS, 1139 elasmobranchs (69% rays, 31% sharks) were observed. We found consistent results in species composition and abundances within a season and across years. However, elasmobranch abundances were significantly higher in the wet season. The elasmobranch community was significantly different between the two sites sampled, one site being more coastal and easily accessed by fishermen. Our results demonstrate that while BRUVS are a reliable and repeatable method for surveying elasmobranchs, care must be taken in the timing of sampling between different regions to ensure that any differences observed are due to inherent differences amongst sampling areas as opposed to seasonal dissimilarities.

The full methodology is available in the Open Access publication from the Related Publications link below.

    Data Record Details
    Data record related to this publication Repeatability of baited remote underwater video station (BRUVS) results within and between seasons
    Data Publication title Repeatability of baited remote underwater video station (BRUVS) results within and between seasons
  • Description

    Complete dataset for "Repeatability of baited remote underwater video station (BRUVS) results within and between seasons" in PLoS ONE by: C. Samantha Sherman, Michelle R. Heupel, Mohini Johnson, Muslimin Kaimuddin, L.M. Sjamsul Qamar,Andrew Chin,Colin A. Simpfendorfer.

    Abstract [Related Publication]: Baited remote underwater video stations (BRUVS) are increasingly being used to evaluate and monitor reef communities. Many BRUVS studies compare multiple sites sampled at single time points that may differ from the sampling time of another site. As BRUVS use grows in its application to provide data relevant to sustainable management, marine protected area success, and overall reef health, understanding repeatability of sampling results is vital. We examined the repeatability of BRUVS results for the elasmobranch community both within and between seasons and years, and explored environmental factors affecting abundances at two sites in Indonesia. On 956 BRUVS, 1139 elasmobranchs (69% rays, 31% sharks) were observed. We found consistent results in species composition and abundances within a season and across years. However, elasmobranch abundances were significantly higher in the wet season. The elasmobranch community was significantly different between the two sites sampled, one site being more coastal and easily accessed by fishermen. Our results demonstrate that while BRUVS are a reliable and repeatable method for surveying elasmobranchs, care must be taken in the timing of sampling between different regions to ensure that any differences observed are due to inherent differences amongst sampling areas as opposed to seasonal dissimilarities.

    The full methodology is available in the Open Access publication from the Related Publications link below.

  • Other Descriptors
    • Descriptor
    • Descriptor type
  • Data type dataset
  • Keywords
    • rays
    • sharks
    • Indonesia
    • BRUVS
    • community composition
  • Funding source
  • Research grant(s)/Scheme name(s)
    • -
  • Research themes
    Tropical Ecosystems, Conservation and Climate Change
    FoR Codes (*)
    SEO Codes
    Specify spatial or temporal setting of the data
    Temporal (time) coverage
  • Start Date 2017/04/09
  • End Date 2019/08/23
  • Time Period
    Spatial (location) coverage
  • Locations
    • Indonesia
    Data Locations

    Type Location Notes
    Attachment Sherman_BauBauFullData.csv
    The Data Manager is: Samantha Sherman
    College or Centre
    Access conditions Open: free access under license
  • Alternative access conditions
  • Data record size
  • Related publications
      Name Sherman, C. Samantha, Heupel, Michelle R., Johnson, Mohini, Kaimuddin, Muslimin, Qamar, L. M. Sjamsul, Chin, Andrew, and Simpfendorfer, Colin A. (2020) Repeatability of baited remote underwater video station (BRUVS) results within and between seasons. PLoS ONE, 15 (12). e0244154.
    • URL https://doi.org/10.1371/journal.pone.0244154
    • Notes Open Access
  • Related websites
  • Related metadata (including standards, codebooks, vocabularies, thesauri, ontologies)
      Name
    • URL
    • Notes
  • Related data
      Name
    • URL
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  • Related services
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    • Notes
    Citation Sherman, Samantha; Simpfendorfer, Colin (2020): Repeatability of baited remote underwater video station (BRUVS) results within and between seasons. James Cook University. https://doi.org/10.25903/5f7bccf305a6d