2022
DOI: 10.4002/040.064.0202
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Northeastern Pacific Octopus Beak Shape for Species-Level Detection

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Cited by 2 publications
(2 citation statements)
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“…Despite these limitations, the potential of these approaches is substantial, supported by the results of recent studies. Most commonly, geometric morphometrics methods were successfully applied for taxonomic classification, species identification or stocks (Neige and Dommergues, 2002;Crespi-Abril et al, 2010;Tanabe et al, 2015b;Fang et al, 2017;Jin et al, 2017;Fang et al, 2018;Pacheco-Ovando et al, 2021;Díaz-Santana-Iturrios et al, 2022). At the beginning of the millennium, the application of these approaches to a wide diversity of species was scarce (Neige and Dommergues, 2002;Tanabe et al, 2015b) and provided limited resolution of identification.…”
Section: Taxonomy and Beak Morphologymentioning
confidence: 99%
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“…Despite these limitations, the potential of these approaches is substantial, supported by the results of recent studies. Most commonly, geometric morphometrics methods were successfully applied for taxonomic classification, species identification or stocks (Neige and Dommergues, 2002;Crespi-Abril et al, 2010;Tanabe et al, 2015b;Fang et al, 2017;Jin et al, 2017;Fang et al, 2018;Pacheco-Ovando et al, 2021;Díaz-Santana-Iturrios et al, 2022). At the beginning of the millennium, the application of these approaches to a wide diversity of species was scarce (Neige and Dommergues, 2002;Tanabe et al, 2015b) and provided limited resolution of identification.…”
Section: Taxonomy and Beak Morphologymentioning
confidence: 99%
“…However, in the last decade, geometric morphometric methods began to flourish. Different authors applied either 2D landmark-based methods (Fang et al, 2017;Fang et al, 2018;Pacheco-Ovando et al, 2021;Díaz-Santana-Iturrios et al, 2022) or outline-based methods (Jin et al, 2017). Both approaches showed high level of identification accuracy, up to 100% in classification of the genera (Pacheco-Ovando et al, 2021), up to 93% in species identification (Fang et al, 2018), and up to 70% correct classifications of stock units (Fang et al, 2017).…”
Section: Taxonomy and Beak Morphologymentioning
confidence: 99%