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<meta content="Age validation, growth modeling,
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(Latris lineata) from southeastern Australia:
making the most of patchy data" name="eprints.title" />
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<meta content="Age estimates for striped
trumpeter (Latris lineata) from Tasmanian
waters were produced by
counting annuli on the transverse
section of sagittal otoliths and were
validated by comparison of growth
w ith k nown-age indiv iduals and
modal progression of a strong recruitment
pulse. Estimated ages ranged
from one to 43 years; fast growth
rates were observed for the first five
years. Minimal sexual dimorphism
was shown to exist between length,
weight, and growth characteristics of
striped trumpeter. Seasonal growth
variability was strong in individuals
up to at least age four, and growth
rates peaked approximately one month
after the observed peak in sea surface
temperature. A modified two-phase
von Bertalanffy growth function was
fitted to the length-at-age data, and
the transition between growth phases
was linked to apparent changes in
physiological and life history traits,
including offshore movement as fish
approach maturity. The two-phase
curve was found to represent the
mean length at age in the data better
than the standard von Bertalanffy
g rowth function. Total mortality
was estimated by using catch curve
analysis based on the standard and
two-phase von Bertalanffy growth
functions, and estimates of natural
mortality were calculated by using
two empirical models, one based on
longevity and the other based on the
parameters L∞ and k from both growth
functions. The interactions between
an inshore gillnet fishery targeting
predominately juveniles and an offshore
hook fishery targeting predominately
adults highlight the need to
use a precautionary approach when
developing harvest strategies." name="eprints.abstract" />
<meta content="2005" name="eprints.date" />
<meta content="published" name="eprints.date_type" />
<meta content="Fishery Bulletin" name="eprints.publication" />
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<meta content="Akaike, H.
1974. A new look at the statistical model identification.
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on Automatic Control, AC-19, p. 716−723. IEEE
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1995. Fishes of the Tristan Da Cunha group and Gough
Island, South Atlantic Ocean. JLB Smith Institute of
Ichthyology. Ichthyol. Bull. 63:1−41.
Bayliff, W. H., I. Ishizuka, and R. B. Deriso.
1991. Growth, movement, and attrition of northern bluefin
tuna, Thunnus thynnus, in the Pacific Ocean, as
determined by tagging. Inter-Am. Trop. Tuna Comm.
Bull. 20 (1):1−94.
Beamish, R. J., and D. A. Fournier.
1981. A method for comparing the precision of a set
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(Pisces: Sparidae), on the Agulhas Bank, South Africa
using per-recruit models. Fish. Res. 32:1−11.
Campana, S. E.
2001. Accuracy, precision and quality control in age determination,
including a review of the use and abuse of age
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1994. Graphical and statistical methods for determining
the consistency of age determinations. Trans. Am.
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1992. A comparison of von Bertalanffy and polynomial
functions in modelling fish growth data. Can. J. Fish.
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Cobcroft, J. M., P. M. Pankhurst, J. Sadler, and P. R. Hart.
2001. Jaw development and malformation in cultured
striped trumpeter Latris lineata. Aquaculture 199(3−4):
267−282.
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1989. Ichtyofaune des iles Saint-Paul et Amsterdam
(Océan Indien sud). Mésogée. 49:21−47.
Forster, M. R.
2000. Key concepts on model selection: performance and
generalizability. J. Math. Psych. 44:205−231.
Fowler, A. J., and P. J. Doherty.
1992. Validation of annual growth increments in the
otoliths of two species of damsel fish from the southern
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1057−1068.
Furlani, D. M., and F. P. Ruwald
1999. Egg and larval development of laboratory-reared
striped trumpeter Latris lineata (Forster in Bloch and
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waters. N.Z. J. Mar. Freshw. Res. 33:16−83.
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1991. Seasonal and interannual variability in physical
processes, nutrient cycling and the structure of the food
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(Suppl.):109–131.
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bluefin tuna (Thunnus maccoyii) from two periods
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1983. Empirical use of longevity data to estimate mortality
rates. Fish. Bull. 82:898−902.
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2001. Age, growth and spatial and interannual trends
in age composition of jackass morwong, Nemadactylus
macropterus, in Tasmania. Aust. J. Mar. Freshw. Res.
52:651−660.
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1980. Likelihood methods for the von Bertalanffy growth
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punctata) estimated from length-at-age samples
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Pauly, D.
1980. On the interrelationships between natural mortality,
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Mer 39 (2):175−192.
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for fisheries research in the tropics (part 1). Fishbyte
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Roff, D. A.
1980. A motion for the retirement of the von Bertalanffy
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241−247.
Schnute, J.
1981. A versatile growth model with statistically stable
parameters. Can. J. Fish. Aquat. Sci. 38:1128−1140" name="eprints.referencetext" />
<meta content="Tracey, Sean R. and Lyle, Jeremy M. (2005) Age validation, growth modeling, and mortality estimates for striped trumpeter (Latris lineata) from southeastern Australia: making the most of patchy data. Fishery Bulletin, 103 (1). pp. 169-183. ISSN 0090-0656" name="eprints.citation" />
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and mortality estimates for striped trumpeter
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making the most of patchy data" name="DC.title" />
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<meta content="Age estimates for striped
trumpeter (Latris lineata) from Tasmanian
waters were produced by
counting annuli on the transverse
section of sagittal otoliths and were
validated by comparison of growth
w ith k nown-age indiv iduals and
modal progression of a strong recruitment
pulse. Estimated ages ranged
from one to 43 years; fast growth
rates were observed for the first five
years. Minimal sexual dimorphism
was shown to exist between length,
weight, and growth characteristics of
striped trumpeter. Seasonal growth
variability was strong in individuals
up to at least age four, and growth
rates peaked approximately one month
after the observed peak in sea surface
temperature. A modified two-phase
von Bertalanffy growth function was
fitted to the length-at-age data, and
the transition between growth phases
was linked to apparent changes in
physiological and life history traits,
including offshore movement as fish
approach maturity. The two-phase
curve was found to represent the
mean length at age in the data better
than the standard von Bertalanffy
g rowth function. Total mortality
was estimated by using catch curve
analysis based on the standard and
two-phase von Bertalanffy growth
functions, and estimates of natural
mortality were calculated by using
two empirical models, one based on
longevity and the other based on the
parameters L∞ and k from both growth
functions. The interactions between
an inshore gillnet fishery targeting
predominately juveniles and an offshore
hook fishery targeting predominately
adults highlight the need to
use a precautionary approach when
developing harvest strategies." name="DC.description" />
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    <h1 class="ep_tm_pagetitle">Age validation, growth modeling, and mortality estimates for striped trumpeter (Latris lineata) from southeastern Australia: making the most of patchy data</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> (2005) <xhtml:em>Age validation, growth modeling, and mortality estimates for striped trumpeter (Latris lineata) from southeastern Australia: making the most of patchy data.</xhtml:em> Fishery Bulletin, 103 (1). pp. 169-183. ISSN 0090-0656</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 onmouseover="EPJS_ShowPreview( event, 'doc_preview_3327' );" href="http://eprints.utas.edu.au/2525/1/Tracey_Lyle_FishBull.pdf" onmouseout="EPJS_HidePreview( event, 'doc_preview_3327' );"><img alt="[img]" src="http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png" class="ep_doc_icon" border="0" /></a><div class="ep_preview" id="doc_preview_3327"><table><tr><td><img alt="" src="http://eprints.utas.edu.au/2525/thumbnails/1/preview.png" class="ep_preview_image" border="0" /><div class="ep_preview_title">Preview</div></td></tr></table></div></td><td valign="top"><a href="http://eprints.utas.edu.au/2525/1/Tracey_Lyle_FishBull.pdf"><span class="ep_document_citation">PDF</span></a> - Requires a PDF viewer<br />405Kb</td></tr></table><p style="margin-bottom: 1em" class="not_ep_block">Official URL: <a href="http://fishbull.noaa.gov/fcontent.htm">http://fishbull.noaa.gov/fcontent.htm</a></p><div class="not_ep_block"><h2>Abstract</h2><p style="padding-bottom: 16px; text-align: left; margin: 1em auto 0em auto">Age estimates for striped&#13;
trumpeter (Latris lineata) from Tasmanian&#13;
waters were produced by&#13;
counting annuli on the transverse&#13;
section of sagittal otoliths and were&#13;
validated by comparison of growth&#13;
w ith k nown-age indiv iduals and&#13;
modal progression of a strong recruitment&#13;
pulse. Estimated ages ranged&#13;
from one to 43 years; fast growth&#13;
rates were observed for the first five&#13;
years. Minimal sexual dimorphism&#13;
was shown to exist between length,&#13;
weight, and growth characteristics of&#13;
striped trumpeter. Seasonal growth&#13;
variability was strong in individuals&#13;
up to at least age four, and growth&#13;
rates peaked approximately one month&#13;
after the observed peak in sea surface&#13;
temperature. A modified two-phase&#13;
von Bertalanffy growth function was&#13;
fitted to the length-at-age data, and&#13;
the transition between growth phases&#13;
was linked to apparent changes in&#13;
physiological and life history traits,&#13;
including offshore movement as fish&#13;
approach maturity. The two-phase&#13;
curve was found to represent the&#13;
mean length at age in the data better&#13;
than the standard von Bertalanffy&#13;
g rowth function. Total mortality&#13;
was estimated by using catch curve&#13;
analysis based on the standard and&#13;
two-phase von Bertalanffy growth&#13;
functions, and estimates of natural&#13;
mortality were calculated by using&#13;
two empirical models, one based on&#13;
longevity and the other based on the&#13;
parameters L∞ and k from both growth&#13;
functions. The interactions between&#13;
an inshore gillnet fishery targeting&#13;
predominately juveniles and an offshore&#13;
hook fishery targeting predominately&#13;
adults highlight the need to&#13;
use a precautionary approach when&#13;
developing harvest strategies.</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">Subjects:</th><td valign="top" class="ep_row"><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 &gt; 300700 Fisheries Sciences &gt; 300703 Aquaculture</a></td></tr><tr><th valign="top" class="ep_row">ID Code:</th><td valign="top" class="ep_row">2525</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 15:31</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=2525;">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&amp;eprintid=2525">item control page</a></p>
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