Further evaluation of empirical management procedures based on longline CPUE index and aerial survey index

 

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dc.contributor.author Kurota, Hiroyuki
dc.contributor.author Fujioka, Ko
dc.contributor.author Sakai, Osamu
dc.contributor.author Takahashi, Norio
dc.contributor.author Butterworth, Doug S
dc.date.accessioned 2016-03-22T07:36:24Z
dc.date.available 2016-03-22T07:36:24Z
dc.date.issued 2010
dc.identifier.citation Kurota, H., Fujioka, K., Sakai, O., Takahashi, N., Butterworth, D.S. Further evaluation of empirical management procedures based on longline CPUE index and aerial survey index. Unpublished. University of Cape Town en_ZA
dc.identifier.uri http://hdl.handle.net/11427/18137
dc.description.abstract Based on recommendations made during the third Operating Model and Management Procedure Technical Meeting (June 2010, Seattle), we have revised and evaluated “HK” Management Procedures (MPs) using empirical algorithms to determine TACs using information from the longline CPUE series and the aerial survey (AS) index. The exploration of HK variants showed that this MP can behave in a variety of ways as its control parameters and sub-algorithms are changed. As evident also from previous trials, MPs with larger TAC reduction in the early years, which might not be preferred from a socio-economic viewpoint, enable quicker stock rebuilding and greater TAC increases in later years, while still achieving the same long-term management target for spawning biomass recovery (though this comparison is complicated by transient effects). en_ZA
dc.language eng en_ZA
dc.subject.other empirical management procedures
dc.subject.other longline CPUE index
dc.subject.other aerial survey index
dc.title Further evaluation of empirical management procedures based on longline CPUE index and aerial survey index en_ZA
dc.type Working Paper en_ZA
dc.date.updated 2016-03-22T07:29:09Z
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


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