Journal article
Rapid and reliable multivariate discrimination for two cryptic Eteline snappers using otolith morphometry
Fisheries Research, Vol.151, pp.100-106
2014
Abstract
Previously unaccounted cryptic speciation requires revaluating species identification, particularly for fisheries assessment purposes. We describe a rapid and reliable method for distinguishing between phenotypically similar species that utilizes simple otolith morphometry (length, width, thickness and weight) with or without fish length, within a traditional canonical discriminant analysis (CDA). Data were subject to CDA in order to differentiate between the cryptic Etelis carbunculus (ruby snapper) and E. marshi (pygmy ruby snapper). A very high allocation success rate was achieved using otolith morphometry and fork length (99.6% for E. carbunculus and 100% for E. marshi) or otolith morphometry only (98.8% for E. carbunculus and 100% for E. marshi), which indicated the high discriminatory power of this method. The CDA successfully grouped samples of the same species collected from different locations in the eastern central Indian and South Pacific Oceans, indicating the robustness of this technique to discriminate between species, irrespective of their geographic range. This technique can be applied to archived otolith collections to confirm teleost species identification, and likely has broader applications for species identification involving extractive, diet or video-based studies.
Details
- Title
- Rapid and reliable multivariate discrimination for two cryptic Eteline snappers using otolith morphometry
- Authors/Creators
- C.B. Wakefield (Author/Creator) - Government of Western AustraliaA.J. Williams (Author/Creator) - Pacific CommunityS.J. Newman (Author/Creator) - Government of Western AustraliaM. Bunel (Author/Creator) - Pacific CommunityC.E. Dowling (Author/Creator) - Government of Western AustraliaC.A. Armstrong (Author/Creator) - Curtin UniversityT.J. Langlois (Author/Creator) - The University of Western Australia
- Publication Details
- Fisheries Research, Vol.151, pp.100-106
- Publisher
- Elsevier BV
- Identifiers
- 991005544426207891
- Copyright
- © 2014 Elsevier B.V.
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.2 Marine Biology
- 3.2.92 Fisheries Ecology
- Web Of Science research areas
- Fisheries
- ESI research areas
- Plant & Animal Science