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- <meta content="Hobday, A. J." name="eprints.creators_name" />
- <meta content="Hartmann, K." name="eprints.creators_name" />
- <meta content="A.Hobday@utas.edu.au" name="eprints.creators_id" />
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- <meta content="Eastern Australia, habitat preference, satellite archival tags, southern bluefin tuna, spatial
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- <meta content="Southern bluefin tuna (SBT), Thunnus maccoyii (Castelnau), is a quota-managed species that makes
- annual winter migrations to the Tasman Sea off south-eastern Australia. During this period it interacts with a
- year-round tropical tuna longline fishery (Eastern Tuna and Billfish Fishery, ETBF). ETBF managers seek to
- minimise the bycatch of SBT by commercial ETBF longline fishers with limited or no SBT quota through spatial
- restrictions. Access to areas where SBT are believed to be present is restricted to fishers holding SBT quota.
- A temperature-based SBT habitat model was developed to provide managers with an estimate of tuna distribution
- upon which to base their decisions about placement of management boundaries. Adult SBT temperature preferences
- were determined using pop-up satellite archival tags. The near real-time predicted location of SBT was
- determined by matching temperature preferences to satellite sea surface temperature data and vertical temperature
- data from an oceanographic model. Regular reports detailing the location of temperature-based SBT habitat were
- produced during the period of the ETBF fishing season when interactions with SBT occur. The SBT habitat model
- included: (i) predictions based on the current vertical structure of the ocean; (ii) seasonally adjusted temperature
- preference data for the 60 calendar days centred on the prediction date; and (iii) development of a temperaturebased
- SBT habitat climatology that allowed visualisation of the expected change in the distribution of the SBT
- habitat zones throughout the season. At the conclusion of the fishing season an automated method for placing
- management boundaries was compared with the subjective approach used by managers. Applying this automated
- procedure to the habitat predictions enabled an investigation of the effects of setting management boundaries
- using old data and updating management boundaries infrequently. Direct comparison with the management
- boundaries allowed an evaluation of the efficiency and biases produced by this aspect of the fishery management
- process. Near real-time fishery management continues to be a realistic prospect that new scientific approaches
- using novel tools can support and advance." name="eprints.abstract" />
- <meta content="2006" name="eprints.date" />
- <meta content="published" name="eprints.date_type" />
- <meta content="Fisheries Management and Ecology" name="eprints.publication" />
- <meta content="13" name="eprints.volume" />
- <meta content="6" name="eprints.number" />
- <meta content="365-380" name="eprints.pagerange" />
- <meta content=" 10.1111/j.1365-2400.2006.00515.x" name="eprints.id_number" />
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- <meta content="0969-997X" name="eprints.issn" />
- <meta content="http://dx.doi.org/10.1111/j.1365-2400.2006.00515.x" name="eprints.official_url" />
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- Balzas G.H. (2000) Turtles on the edge: movement of
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- 36–51.
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- Freshwater Research 52, 353–360.
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- Walker T.I. (2005) Management measures. In: J.A. Musick
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- 267–281." name="eprints.referencetext" />
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- <meta content="Southern bluefin tuna (SBT), Thunnus maccoyii (Castelnau), is a quota-managed species that makes
- annual winter migrations to the Tasman Sea off south-eastern Australia. During this period it interacts with a
- year-round tropical tuna longline fishery (Eastern Tuna and Billfish Fishery, ETBF). ETBF managers seek to
- minimise the bycatch of SBT by commercial ETBF longline fishers with limited or no SBT quota through spatial
- restrictions. Access to areas where SBT are believed to be present is restricted to fishers holding SBT quota.
- A temperature-based SBT habitat model was developed to provide managers with an estimate of tuna distribution
- upon which to base their decisions about placement of management boundaries. Adult SBT temperature preferences
- were determined using pop-up satellite archival tags. The near real-time predicted location of SBT was
- determined by matching temperature preferences to satellite sea surface temperature data and vertical temperature
- data from an oceanographic model. Regular reports detailing the location of temperature-based SBT habitat were
- produced during the period of the ETBF fishing season when interactions with SBT occur. The SBT habitat model
- included: (i) predictions based on the current vertical structure of the ocean; (ii) seasonally adjusted temperature
- preference data for the 60 calendar days centred on the prediction date; and (iii) development of a temperaturebased
- SBT habitat climatology that allowed visualisation of the expected change in the distribution of the SBT
- habitat zones throughout the season. At the conclusion of the fishing season an automated method for placing
- management boundaries was compared with the subjective approach used by managers. Applying this automated
- procedure to the habitat predictions enabled an investigation of the effects of setting management boundaries
- using old data and updating management boundaries infrequently. Direct comparison with the management
- boundaries allowed an evaluation of the efficiency and biases produced by this aspect of the fishery management
- process. Near real-time fishery management continues to be a realistic prospect that new scientific approaches
- using novel tools can support and advance." name="DC.description" />
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- <h1 class="ep_tm_pagetitle">Near real-time spatial management based on habitat predictions for a longline bycatch species</h1>
- <p style="margin-bottom: 1em" class="not_ep_block"><span class="person_name">Hobday, A. J.</span> and <span class="person_name">Hartmann, K.</span> (2006) <xhtml:em>Near real-time spatial management based on habitat predictions for a longline bycatch species.</xhtml:em> Fisheries Management and Ecology, 13 (6). pp. 365-380. ISSN 0969-997X</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/2530/1/Hobday_26_Hartmann_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/2530/1/Hobday_26_Hartmann_2006.pdf"><span class="ep_document_citation">PDF</span></a> - Full text restricted - Requires a PDF viewer<br />859Kb</td><td><form method="get" accept-charset="utf-8" action="http://eprints.utas.edu.au/cgi/request_doc"><input accept-charset="utf-8" value="3334" 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/10.1111/j.1365-2400.2006.00515.x">http://dx.doi.org/10.1111/j.1365-2400.2006.00515.x</a></p><div class="not_ep_block"><h2>Abstract</h2><p style="padding-bottom: 16px; text-align: left; margin: 1em auto 0em auto">Southern bluefin tuna (SBT), Thunnus maccoyii (Castelnau), is a quota-managed species that makes
- annual winter migrations to the Tasman Sea off south-eastern Australia. During this period it interacts with a
- year-round tropical tuna longline fishery (Eastern Tuna and Billfish Fishery, ETBF). ETBF managers seek to
- minimise the bycatch of SBT by commercial ETBF longline fishers with limited or no SBT quota through spatial
- restrictions. Access to areas where SBT are believed to be present is restricted to fishers holding SBT quota.
- A temperature-based SBT habitat model was developed to provide managers with an estimate of tuna distribution
- upon which to base their decisions about placement of management boundaries. Adult SBT temperature preferences
- were determined using pop-up satellite archival tags. The near real-time predicted location of SBT was
- determined by matching temperature preferences to satellite sea surface temperature data and vertical temperature
- data from an oceanographic model. Regular reports detailing the location of temperature-based SBT habitat were
- produced during the period of the ETBF fishing season when interactions with SBT occur. The SBT habitat model
- included: (i) predictions based on the current vertical structure of the ocean; (ii) seasonally adjusted temperature
- preference data for the 60 calendar days centred on the prediction date; and (iii) development of a temperaturebased
- SBT habitat climatology that allowed visualisation of the expected change in the distribution of the SBT
- habitat zones throughout the season. At the conclusion of the fishing season an automated method for placing
- management boundaries was compared with the subjective approach used by managers. Applying this automated
- procedure to the habitat predictions enabled an investigation of the effects of setting management boundaries
- using old data and updating management boundaries infrequently. Direct comparison with the management
- boundaries allowed an evaluation of the efficiency and biases produced by this aspect of the fishery management
- process. Near real-time fishery management continues to be a realistic prospect that new scientific approaches
- using novel tools can support and advance.</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">Eastern Australia, habitat preference, satellite archival tags, southern bluefin tuna, spatial
- management.</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/300700.html">300000 Agricultural, Veterinary and Environmental Sciences > 300700 Fisheries Sciences</a></td></tr><tr><th valign="top" class="ep_row">ID Code:</th><td valign="top" class="ep_row">2530</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">26 Nov 2007 12:25</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=2530;">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=2530">item control page</a></p>
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