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Validation of Image-Based Species Identifications of Black Corals (Order Antipatharia) on Mesophotic Rocks
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2016
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Source: Gulf of Mexico Science, 33(1)
[PDF-1.52 MB]
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Journal Title:Gulf of Mexico Science
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Description:Biodiversity, an important measure of ecosystem health, is challenging to ascertain using sampled specimens in remote deep-sea environments. As image-based identifications become a predominant method for deep-sea species characterizations, there is a need to evaluate the accuracy of species- and genus-level identifications from video and still images to provide a reliable measure of biodiversity. This study presents a validation of the ability to make accurate image-based identifications of black coral species in the northwestern Gulf of Mexico from standard-definition video collected by a remotely operated vehicle. Results indicate that the greatest number of misidentifications occurred at species-level groupings (42.2% error), whereas genus-level groupings possessed 12.0% error, and identifications to kappa groupings had no error. We recommend genus-level groupings to maintain accurate identifications while maximizing estimates of biodiversity.
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Source:Gulf of Mexico Science, 33(1)
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DOI:
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ISSN:1087-688X
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Rights Information:Other
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Compliance:Library
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