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<meta content="Lyle, Jeremy M." name="eprints.creators_name" />
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Geometric morphometrics is a relatively new tool to fisheries research showing promise as a means of enabling researchers to cheaply and
quickly categorise fish to individual stocks based on variations in otolith form, most commonly size and shape. In this study we introduce the
method of elliptical Fourier analysis using two widely separated populations of striped trumpeter (Latris lineata) as a case study and compare
the interpretation of results based on both unconstrained and constrained ordination techniques. There were no significant differences in otolith
morphometrics between sex or age classes within each region. All form descriptors were standardised for fish length, thereby minimising
confounding effects on any potential inter-regional otolith form differences. Non-metric multidimensional scaling was not sufficient to
elucidate differences in otolith form between populations. However, using constrained canonical analysis of principal coordinates and canonical
discriminant analysis, regional differences became evident with allocation success of 75 and 87%, respectively. Based on this study differences
in otolith form reflect that the two tested striped trumpeter populations have reasonable phenotypic anonymity. This study further supports the
usefulness of shape analysis and constrained non-parametric statistical tests as tools for stock discrimination and introduces elliptical Fourier
analysis to the study of otolith morphometrics." name="eprints.abstract" />
<meta content="2006" name="eprints.date" />
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<meta content="Fisheries Research" name="eprints.publication" />
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<meta content="Adams, D.C., Rohlf, F.J., Slice, D.E., 2004. Geometric morphometrics:
ten years of progress following the ‘revolution’. Ital. J. Zool. 71, 5–16.
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80, 333–342.
Tracey, S.R., Lyle, J.M., 2005. Age validation, growth modelling and
mortality estimates of striped trumpeter (Latris lineata) from southeastern
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Mar. Ecol. Prog. Ser. 257, 209–221." name="eprints.referencetext" />
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Geometric morphometrics is a relatively new tool to fisheries research showing promise as a means of enabling researchers to cheaply and
quickly categorise fish to individual stocks based on variations in otolith form, most commonly size and shape. In this study we introduce the
method of elliptical Fourier analysis using two widely separated populations of striped trumpeter (Latris lineata) as a case study and compare
the interpretation of results based on both unconstrained and constrained ordination techniques. There were no significant differences in otolith
morphometrics between sex or age classes within each region. All form descriptors were standardised for fish length, thereby minimising
confounding effects on any potential inter-regional otolith form differences. Non-metric multidimensional scaling was not sufficient to
elucidate differences in otolith form between populations. However, using constrained canonical analysis of principal coordinates and canonical
discriminant analysis, regional differences became evident with allocation success of 75 and 87%, respectively. Based on this study differences
in otolith form reflect that the two tested striped trumpeter populations have reasonable phenotypic anonymity. This study further supports the
usefulness of shape analysis and constrained non-parametric statistical tests as tools for stock discrimination and introduces elliptical Fourier
analysis to the study of otolith morphometrics." name="DC.description" />
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<h1 class="ep_tm_pagetitle">Application of elliptical Fourier analysis of otolith form as a tool for stock identification</h1>
<p style="margin-bottom: 1em" class="not_ep_block"><span class="person_name">Tracey, Sean R.</span> and <span class="person_name">Lyle, Jeremy M.</span> (2006) <xhtml:em>Application of elliptical Fourier analysis of otolith form as a tool for stock identification.</xhtml:em> Fisheries Research, 77 (2). pp. 138-147. ISSN 0165-7836</p><p style="margin-bottom: 1em" class="not_ep_block"></p><table style="margin-bottom: 1em" class="not_ep_block"><tr><td valign="top" style="text-align:center"><a href="http://eprints.utas.edu.au/2524/1/Tracey_et_al_2006.pdf"><img alt="[img]" src="http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png" class="ep_doc_icon" border="0" /></a></td><td valign="top"><a href="http://eprints.utas.edu.au/2524/1/Tracey_et_al_2006.pdf"><span class="ep_document_citation">PDF</span></a> - Full text restricted - Requires a PDF viewer<br />334Kb</td><td><form method="get" accept-charset="utf-8" action="http://eprints.utas.edu.au/cgi/request_doc"><input accept-charset="utf-8" value="3325" name="docid" type="hidden" /><div class=""><input value="Request a copy" name="_action_null" class="ep_form_action_button" onclick="return EPJS_button_pushed( '_action_null' )" type="submit" /> </div></form></td></tr></table><p style="margin-bottom: 1em" class="not_ep_block">Official URL: <a href="http://dx.doi.org/10.1016/j.fishres.2005.10.013">http://dx.doi.org/10.1016/j.fishres.2005.10.013</a></p><div class="not_ep_block"><h2>Abstract</h2><p style="padding-bottom: 16px; text-align: left; margin: 1em auto 0em auto">
Geometric morphometrics is a relatively new tool to fisheries research showing promise as a means of enabling researchers to cheaply and
quickly categorise fish to individual stocks based on variations in otolith form, most commonly size and shape. In this study we introduce the
method of elliptical Fourier analysis using two widely separated populations of striped trumpeter (Latris lineata) as a case study and compare
the interpretation of results based on both unconstrained and constrained ordination techniques. There were no significant differences in otolith
morphometrics between sex or age classes within each region. All form descriptors were standardised for fish length, thereby minimising
confounding effects on any potential inter-regional otolith form differences. Non-metric multidimensional scaling was not sufficient to
elucidate differences in otolith form between populations. However, using constrained canonical analysis of principal coordinates and canonical
discriminant analysis, regional differences became evident with allocation success of 75 and 87%, respectively. Based on this study differences
in otolith form reflect that the two tested striped trumpeter populations have reasonable phenotypic anonymity. This study further supports the
usefulness of shape analysis and constrained non-parametric statistical tests as tools for stock discrimination and introduces elliptical Fourier
analysis to the study of otolith morphometrics.</p></div><table style="margin-bottom: 1em" cellpadding="3" class="not_ep_block" border="0"><tr><th valign="top" class="ep_row">Item Type:</th><td valign="top" class="ep_row">Article</td></tr><tr><th valign="top" class="ep_row">Additional Information:</th><td valign="top" class="ep_row">"The definitive version is available at www.blackwell-synergy.com"
</td></tr><tr><th valign="top" class="ep_row">Keywords:</th><td valign="top" class="ep_row">Latris lineata; Stock structure; Elliptical Fourier Function; Constrained ordination methods; Age; Growth</td></tr><tr><th valign="top" class="ep_row">Subjects:</th><td valign="top" class="ep_row"><a href="http://eprints.utas.edu.au/view/subjects/300700.html">300000 Agricultural, Veterinary and Environmental Sciences > 300700 Fisheries Sciences</a><br /><a href="http://eprints.utas.edu.au/view/subjects/300000.html">300000 Agricultural, Veterinary and Environmental Sciences</a><br /><a href="http://eprints.utas.edu.au/view/subjects/300703.html">300000 Agricultural, Veterinary and Environmental Sciences > 300700 Fisheries Sciences > 300703 Aquaculture</a></td></tr><tr><th valign="top" class="ep_row">ID Code:</th><td valign="top" class="ep_row">2524</td></tr><tr><th valign="top" class="ep_row">Deposited By:</th><td valign="top" class="ep_row"><span class="ep_name_citation"><span class="person_name">Scholarly Publications Librarian</span></span></td></tr><tr><th valign="top" class="ep_row">Deposited On:</th><td valign="top" class="ep_row">23 Nov 2007 13:51</td></tr><tr><th valign="top" class="ep_row">Last Modified:</th><td valign="top" class="ep_row">09 Jan 2008 02:30</td></tr><tr><th valign="top" class="ep_row">ePrint Statistics:</th><td valign="top" class="ep_row"><a target="ePrintStats" href="/es/index.php?action=show_detail_eprint;id=2524;">View statistics for this ePrint</a></td></tr></table><p align="right">Repository Staff Only: <a href="http://eprints.utas.edu.au/cgi/users/home?screen=EPrint::View&eprintid=2524">item control page</a></p>
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