Examination of the SBT operating model to inform conditioning and projection specifications

 

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dc.contributor.author Kurota, Hiroyuki
dc.contributor.author Sakai, Osamu
dc.contributor.author Butterworth, Doug S
dc.date.accessioned 2016-03-30T11:23:56Z
dc.date.available 2016-03-30T11:23:56Z
dc.date.issued 2009
dc.identifier.citation Sakai, O., Kurota, H., & Butterworth, D. S. (2009). Examination of the SBT operating model to inform conditioning and projection specifications. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/18402
dc.description.abstract Stock assessments and constant catch projections have been conducted using the Operating Model (OM) specified at the CCSBT technical meeting held in Seattle in July 2009. The current analysis shows that: (1) for the base case, higher steepness and lower M10 (natural mortality at age 10) are preferred in the grid sampling based on the likelihood (in contrast to the prior-based weight for steepness), and this leads to more optimistic future projections despite lower current spawning biomass (3.7% of the unfished biomass for the likelihood-based and 4.9% for the prior-based approaches), (2) when incomplete mixing of fish tagged is taken into consideration, the model fit, particularly to tag recaptures, is improved, and projection results are somewhat more optimistic, (3) the low recruitment estimate in 2006 seems to be primarily a consequence of LL1 catch-at-size data from 2008, (4) when CPUE is not adjusted for overcatch (i.e., S = 0), lower steepness and higher M are preferred, and higher S scenarios generally lead to more optimistic projection results despite worse fit to observed CPUE series, and (5) several sensitivity trials which accord less reliability to the Japanese longline CPUE favour higher M values and lead to more pessimistic results. en_ZA
dc.language eng en_ZA
dc.subject.other SBT operating model
dc.subject.other conditioning
dc.subject.other projection specifications
dc.title Examination of the SBT operating model to inform conditioning and projection specifications en_ZA
dc.type Working Paper en_ZA
dc.date.updated 2016-03-30T11:19:01Z
uct.type.publication Research en_ZA
uct.type.resource Research paper en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Marine Resource Assessment and Management Group en_ZA
uct.type.filetype Text
dc.identifier.apacitation Kurota, H., Sakai, O., & Butterworth, D. S. (2009). <i>Examination of the SBT operating model to inform conditioning and projection specifications</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group. Retrieved from http://hdl.handle.net/11427/18402 en_ZA
dc.identifier.chicagocitation Kurota, Hiroyuki, Osamu Sakai, and Doug S Butterworth <i>Examination of the SBT operating model to inform conditioning and projection specifications.</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group, 2009. http://hdl.handle.net/11427/18402 en_ZA
dc.identifier.vancouvercitation Kurota H, Sakai O, Butterworth DS. Examination of the SBT operating model to inform conditioning and projection specifications. 2009 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/18402 en_ZA
dc.identifier.ris TY - Working Paper AU - Kurota, Hiroyuki AU - Sakai, Osamu AU - Butterworth, Doug S AB - Stock assessments and constant catch projections have been conducted using the Operating Model (OM) specified at the CCSBT technical meeting held in Seattle in July 2009. The current analysis shows that: (1) for the base case, higher steepness and lower M10 (natural mortality at age 10) are preferred in the grid sampling based on the likelihood (in contrast to the prior-based weight for steepness), and this leads to more optimistic future projections despite lower current spawning biomass (3.7% of the unfished biomass for the likelihood-based and 4.9% for the prior-based approaches), (2) when incomplete mixing of fish tagged is taken into consideration, the model fit, particularly to tag recaptures, is improved, and projection results are somewhat more optimistic, (3) the low recruitment estimate in 2006 seems to be primarily a consequence of LL1 catch-at-size data from 2008, (4) when CPUE is not adjusted for overcatch (i.e., S = 0), lower steepness and higher M are preferred, and higher S scenarios generally lead to more optimistic projection results despite worse fit to observed CPUE series, and (5) several sensitivity trials which accord less reliability to the Japanese longline CPUE favour higher M values and lead to more pessimistic results. DA - 2009 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2009 T1 - Examination of the SBT operating model to inform conditioning and projection specifications TI - Examination of the SBT operating model to inform conditioning and projection specifications UR - http://hdl.handle.net/11427/18402 ER - en_ZA


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