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  5. <title>UTas ePrints - Age validation, growth modeling, and mortality estimates for striped trumpeter (Latris lineata) from southeastern Australia: making the most of patchy data</title>
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  13. <meta content="Tracey, Sean R." name="eprints.creators_name" />
  14. <meta content="Lyle, Jeremy M." name="eprints.creators_name" />
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  16. <meta content="Jeremy.Lyle@utas.edu.au" name="eprints.creators_id" />
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  21. <meta content="Age validation, growth modeling,
  22. and mortality estimates for striped trumpeter
  23. (Latris lineata) from southeastern Australia:
  24. making the most of patchy data" name="eprints.title" />
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  29. <meta content="Age estimates for striped
  30. trumpeter (Latris lineata) from Tasmanian
  31. waters were produced by
  32. counting annuli on the transverse
  33. section of sagittal otoliths and were
  34. validated by comparison of growth
  35. w ith k nown-age indiv iduals and
  36. modal progression of a strong recruitment
  37. pulse. Estimated ages ranged
  38. from one to 43 years; fast growth
  39. rates were observed for the first five
  40. years. Minimal sexual dimorphism
  41. was shown to exist between length,
  42. weight, and growth characteristics of
  43. striped trumpeter. Seasonal growth
  44. variability was strong in individuals
  45. up to at least age four, and growth
  46. rates peaked approximately one month
  47. after the observed peak in sea surface
  48. temperature. A modified two-phase
  49. von Bertalanffy growth function was
  50. fitted to the length-at-age data, and
  51. the transition between growth phases
  52. was linked to apparent changes in
  53. physiological and life history traits,
  54. including offshore movement as fish
  55. approach maturity. The two-phase
  56. curve was found to represent the
  57. mean length at age in the data better
  58. than the standard von Bertalanffy
  59. g rowth function. Total mortality
  60. was estimated by using catch curve
  61. analysis based on the standard and
  62. two-phase von Bertalanffy growth
  63. functions, and estimates of natural
  64. mortality were calculated by using
  65. two empirical models, one based on
  66. longevity and the other based on the
  67. parameters L∞ and k from both growth
  68. functions. The interactions between
  69. an inshore gillnet fishery targeting
  70. predominately juveniles and an offshore
  71. hook fishery targeting predominately
  72. adults highlight the need to
  73. use a precautionary approach when
  74. developing harvest strategies." name="eprints.abstract" />
  75. <meta content="2005" name="eprints.date" />
  76. <meta content="published" name="eprints.date_type" />
  77. <meta content="Fishery Bulletin" name="eprints.publication" />
  78. <meta content="103" name="eprints.volume" />
  79. <meta content="1" name="eprints.number" />
  80. <meta content="169-183" name="eprints.pagerange" />
  81. <meta content="TRUE" name="eprints.refereed" />
  82. <meta content="0090-0656" name="eprints.issn" />
  83. <meta content="http://fishbull.noaa.gov/fcontent.htm" name="eprints.official_url" />
  84. <meta content="Akaike, H.
  85. 1974. A new look at the statistical model identification.
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  89. Andrew, T. G., T. Hecht, P. C. Heemstra, and J. R. E. Lutjeharms.
  90. 1995. Fishes of the Tristan Da Cunha group and Gough
  91. Island, South Atlantic Ocean. JLB Smith Institute of
  92. Ichthyology. Ichthyol. Bull. 63:1−41.
  93. Bayliff, W. H., I. Ishizuka, and R. B. Deriso.
  94. 1991. Growth, movement, and attrition of northern bluefin
  95. tuna, Thunnus thynnus, in the Pacific Ocean, as
  96. determined by tagging. Inter-Am. Trop. Tuna Comm.
  97. Bull. 20 (1):1−94.
  98. Beamish, R. J., and D. A. Fournier.
  99. 1981. A method for comparing the precision of a set
  100. of age determinations. Can. J. Fish. Aquat. Sci. 38:
  101. 982−983.
  102. Beverton, R. J. H , and S. J. Holt.
  103. 1957. On the dynamics of exploited fish populations. U.K.
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  107. 1997. Management of the panga Pterogymnus laniarius
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  110. Campana, S. E.
  111. 2001. Accuracy, precision and quality control in age determination,
  112. including a review of the use and abuse of age
  113. validation methods. J. Fish. Biol. 59:197−242.
  114. Campana, S. E., M. C. Annand, and J. I. Mcmillan.
  115. 1994. Graphical and statistical methods for determining
  116. the consistency of age determinations. Trans. Am.
  117. Fish. Soc. 124(1):131−138.
  118. Chen, Y, D. A, Jackson, and H. H. Harvey.
  119. 1992. A comparison of von Bertalanffy and polynomial
  120. functions in modelling fish growth data. Can. J. Fish.
  121. Aquat. Sci. 49:1228−1235.
  122. Cobcroft, J. M., P. M. Pankhurst, J. Sadler, and P. R. Hart.
  123. 2001. Jaw development and malformation in cultured
  124. striped trumpeter Latris lineata. Aquaculture 199(3−4):
  125. 267−282.
  126. Duhamel, G.
  127. 1989. Ichtyofaune des iles Saint-Paul et Amsterdam
  128. (Océan Indien sud). Mésogée. 49:21−47.
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  133. 1992. Validation of annual growth increments in the
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  136. 1057−1068.
  137. Furlani, D. M., and F. P. Ruwald
  138. 1999. Egg and larval development of laboratory-reared
  139. striped trumpeter Latris lineata (Forster in Bloch and
  140. Schneider 1801) (Percoidei: Latridiidae) from Tasmanian
  141. waters. N.Z. J. Mar. Freshw. Res. 33:16−83.
  142. Gomon, M. F., J. C. M. Glover, and R. H. Kuiter.
  143. 1994. The fishes of Australia’s south coast, 992 p. The
  144. Flora and Fauna of South Australia Handbooks
  145. Committee. State Printers, Adelaide, South Australia,
  146. Australia.
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  148. 2001. Modelling and quantitative methods in fisheries.
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  152. 1991. Seasonal and interannual variability in physical
  153. processes, nutrient cycling and the structure of the food
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  159. of tag-return data. Fish. Bull.101:58−74.
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  161. 1983. Empirical use of longevity data to estimate mortality
  162. rates. Fish. Bull. 82:898−902.
  163. Jordan, A. R.
  164. 2001. Age, growth and spatial and interannual trends
  165. in age composition of jackass morwong, Nemadactylus
  166. macropterus, in Tasmania. Aust. J. Mar. Freshw. Res.
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  169. 1980. Likelihood methods for the von Bertalanffy growth
  170. curve. Fish. Bull. 77:765−776.
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  172. 1968. Asymptotic growth: an example of nonsense
  173. disguised as mathematics. J. Fish. Res. Board Can.
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  175. Last, P. R., E. O. G. Scott, and F. H. Talbot.
  176. 1983. Fishes of Tasmania, 563 p. Tasmanian Fish-eries
  177. Development Authority, Hobart, Tasmania, Australia.
  178. McGarvey, R., and A. J. Fowler
  179. 2002. Seasonal growth of King George whiting (Sillaginodes
  180. punctata) estimated from length-at-age samples
  181. of the legal-size harvest. Fish. Bull. 100:545−558.
  182. Pauly, D.
  183. 1980. On the interrelationships between natural mortality,
  184. growth parameters, and mean environmental
  185. temperature in 175 fish stocks. J. Cons. Int. Explor.
  186. Mer 39 (2):175−192.
  187. 1983. Length-converted catch curves: a powerful tool
  188. for fisheries research in the tropics (part 1). Fishbyte
  189. 1(2):9−13.
  190. Pitcher, T. J., and P. D. M. MacDonald.
  191. 1973. Two models for seasonal growth in fishes. J. Appl.
  192. Ecol. 10:559−606.
  193. Reynolds, R. W., N. A. Rayner, T. M. Smith, D. C. Stokes, and
  194. W. Wang.
  195. 2002. An improved in situ and satellite SST analysis
  196. for climate. J. Climate 15:1609−1625.
  197. Roff, D. A.
  198. 1980. A motion for the retirement of the von Bertalanffy
  199. function. Can. J. Fish. Aquat. Sci. 37:127−129.
  200. Sainsbury, K. J.
  201. 1979. Effect of individual variability on the von Bertalanffy
  202. growth equation. Can. J. Fish. Aquat. Sci. 37:
  203. 241−247.
  204. Schnute, J.
  205. 1981. A versatile growth model with statistically stable
  206. parameters. Can. J. Fish. Aquat. Sci. 38:1128−1140" name="eprints.referencetext" />
  207. <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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  210. <meta content="Age validation, growth modeling,
  211. and mortality estimates for striped trumpeter
  212. (Latris lineata) from southeastern Australia:
  213. making the most of patchy data" name="DC.title" />
  214. <meta content="Tracey, Sean R." name="DC.creator" />
  215. <meta content="Lyle, Jeremy M." name="DC.creator" />
  216. <meta content="300000 Agricultural, Veterinary and Environmental Sciences" name="DC.subject" />
  217. <meta content="300703 Aquaculture" name="DC.subject" />
  218. <meta content="Age estimates for striped
  219. trumpeter (Latris lineata) from Tasmanian
  220. waters were produced by
  221. counting annuli on the transverse
  222. section of sagittal otoliths and were
  223. validated by comparison of growth
  224. w ith k nown-age indiv iduals and
  225. modal progression of a strong recruitment
  226. pulse. Estimated ages ranged
  227. from one to 43 years; fast growth
  228. rates were observed for the first five
  229. years. Minimal sexual dimorphism
  230. was shown to exist between length,
  231. weight, and growth characteristics of
  232. striped trumpeter. Seasonal growth
  233. variability was strong in individuals
  234. up to at least age four, and growth
  235. rates peaked approximately one month
  236. after the observed peak in sea surface
  237. temperature. A modified two-phase
  238. von Bertalanffy growth function was
  239. fitted to the length-at-age data, and
  240. the transition between growth phases
  241. was linked to apparent changes in
  242. physiological and life history traits,
  243. including offshore movement as fish
  244. approach maturity. The two-phase
  245. curve was found to represent the
  246. mean length at age in the data better
  247. than the standard von Bertalanffy
  248. g rowth function. Total mortality
  249. was estimated by using catch curve
  250. analysis based on the standard and
  251. two-phase von Bertalanffy growth
  252. functions, and estimates of natural
  253. mortality were calculated by using
  254. two empirical models, one based on
  255. longevity and the other based on the
  256. parameters L∞ and k from both growth
  257. functions. The interactions between
  258. an inshore gillnet fishery targeting
  259. predominately juveniles and an offshore
  260. hook fishery targeting predominately
  261. adults highlight the need to
  262. use a precautionary approach when
  263. developing harvest strategies." name="DC.description" />
  264. <meta content="2005" name="DC.date" />
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  375. <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>
  376. <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;
  377. trumpeter (Latris lineata) from Tasmanian&#13;
  378. waters were produced by&#13;
  379. counting annuli on the transverse&#13;
  380. section of sagittal otoliths and were&#13;
  381. validated by comparison of growth&#13;
  382. w ith k nown-age indiv iduals and&#13;
  383. modal progression of a strong recruitment&#13;
  384. pulse. Estimated ages ranged&#13;
  385. from one to 43 years; fast growth&#13;
  386. rates were observed for the first five&#13;
  387. years. Minimal sexual dimorphism&#13;
  388. was shown to exist between length,&#13;
  389. weight, and growth characteristics of&#13;
  390. striped trumpeter. Seasonal growth&#13;
  391. variability was strong in individuals&#13;
  392. up to at least age four, and growth&#13;
  393. rates peaked approximately one month&#13;
  394. after the observed peak in sea surface&#13;
  395. temperature. A modified two-phase&#13;
  396. von Bertalanffy growth function was&#13;
  397. fitted to the length-at-age data, and&#13;
  398. the transition between growth phases&#13;
  399. was linked to apparent changes in&#13;
  400. physiological and life history traits,&#13;
  401. including offshore movement as fish&#13;
  402. approach maturity. The two-phase&#13;
  403. curve was found to represent the&#13;
  404. mean length at age in the data better&#13;
  405. than the standard von Bertalanffy&#13;
  406. g rowth function. Total mortality&#13;
  407. was estimated by using catch curve&#13;
  408. analysis based on the standard and&#13;
  409. two-phase von Bertalanffy growth&#13;
  410. functions, and estimates of natural&#13;
  411. mortality were calculated by using&#13;
  412. two empirical models, one based on&#13;
  413. longevity and the other based on the&#13;
  414. parameters L∞ and k from both growth&#13;
  415. functions. The interactions between&#13;
  416. an inshore gillnet fishery targeting&#13;
  417. predominately juveniles and an offshore&#13;
  418. hook fishery targeting predominately&#13;
  419. adults highlight the need to&#13;
  420. use a precautionary approach when&#13;
  421. 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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