Application of ADAPT-VPA to Antarctic minke whales in the JARPA research area

dc.contributor.authorMori, Mitsuyo
dc.contributor.authorKitakado, Toshihide
dc.contributor.authorButterworth, Doug S
dc.date.accessioned2016-03-16T09:33:08Z
dc.date.available2016-03-16T09:33:08Z
dc.date.issued2006
dc.date.updated2016-03-16T09:24:47Z
dc.description.abstractThe ADAPT-VPA assessment methodology originally developed by Butterworth et al. (1999) has been greatly improved by taking into account various comments made during a series of IWC-SC meetings and is applied here to abundance estimates (from both IDCR/SOWER and JARPA surveys) as well as catch at age data (both commercial and scientific) for the I and P-stocks of Antarctic minke whales. The improvements to the methodology allow account to be taken of various further aspects, primarily: 1) inter-annual differences in the distribution of the population between different management Areas, 2) a stock-recruitment relationship, and 3) the effects of possible ageing-error. Furthermore sensitivities to various functional forms for selectivity and natural mortality with age are explored. The general pattern shown by the results for both stocks is of a minke whale abundance trend that increased over the middle decades of the 20th Century to peak at about 1970, and then stabilized or declined somewhat for the next three decades. The recruitment trend is similar, though with its peak slightly earlier. The annual natural mortality rate, M, is estimated to be 0.056 with a CV of 0.16 for the I-stock, and 0.069 with a CV of 0.15 for the P-stock for the “Reference case” assessments. When only the JARPA abundance estimates are used for tuning, M is estimated as 0.038 and 0.060 for the I- and P-stocks, respectively. The estimation of M is fairly robust to the various assumptions of the model. The CVs of these M estimates for the “Reference case” assessments, when compared with those of typically 0.35 for the Areaspecific assessments of Butterworth et al. (1999) which were based on fewer data, indicate an improvement in the precision of these estimates due to the accumulation of data over the long-term of the JARPA surveys. The fits of the stock-recruitment model generally require a carrying capacity for minke whales that first increased and then stabilized or declined somewhat during the last century, and suggest MSYR(1+) values in the 4-6% range. The improved precision in the estimation of M may contribute in the improvement of management and assessment of this species on a stock-specific basis, since it can reduce the uncertainty concerning the value of M and can provide an improved prior distribution for MSYR. The latter in particular, in the context of providing a measure of the productivity of which the species is capable, is essential information for effective RMP implementation through reduction of the range of plausible scenarios which need to be considered in Implementation Simulation Trials.en_ZA
dc.description.urihttp://www.mth.uct.ac.za/maram/pub/2006/SC_D06_J14.pdf
dc.identifier.apacitationMori, M., Kitakado, T., & Butterworth, D. S. (2006). <i>Application of ADAPT-VPA to Antarctic minke whales in the JARPA research area</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group. Retrieved from http://hdl.handle.net/11427/17845en_ZA
dc.identifier.chicagocitationMori, Mitsuyo, Toshihide Kitakado, and Doug S Butterworth <i>Application of ADAPT-VPA to Antarctic minke whales in the JARPA research area.</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group, 2006. http://hdl.handle.net/11427/17845en_ZA
dc.identifier.citationMori, M., Butterworth, D. S., & Kitakado, T. (2006). Application of ADAPT-VPA to Antarctic minke whales in the JARPA research area (Vol. 6). Paper SC.en_ZA
dc.identifier.ris TY - Working Paper AU - Mori, Mitsuyo AU - Kitakado, Toshihide AU - Butterworth, Doug S AB - The ADAPT-VPA assessment methodology originally developed by Butterworth et al. (1999) has been greatly improved by taking into account various comments made during a series of IWC-SC meetings and is applied here to abundance estimates (from both IDCR/SOWER and JARPA surveys) as well as catch at age data (both commercial and scientific) for the I and P-stocks of Antarctic minke whales. The improvements to the methodology allow account to be taken of various further aspects, primarily: 1) inter-annual differences in the distribution of the population between different management Areas, 2) a stock-recruitment relationship, and 3) the effects of possible ageing-error. Furthermore sensitivities to various functional forms for selectivity and natural mortality with age are explored. The general pattern shown by the results for both stocks is of a minke whale abundance trend that increased over the middle decades of the 20th Century to peak at about 1970, and then stabilized or declined somewhat for the next three decades. The recruitment trend is similar, though with its peak slightly earlier. The annual natural mortality rate, M, is estimated to be 0.056 with a CV of 0.16 for the I-stock, and 0.069 with a CV of 0.15 for the P-stock for the “Reference case” assessments. When only the JARPA abundance estimates are used for tuning, M is estimated as 0.038 and 0.060 for the I- and P-stocks, respectively. The estimation of M is fairly robust to the various assumptions of the model. The CVs of these M estimates for the “Reference case” assessments, when compared with those of typically 0.35 for the Areaspecific assessments of Butterworth et al. (1999) which were based on fewer data, indicate an improvement in the precision of these estimates due to the accumulation of data over the long-term of the JARPA surveys. The fits of the stock-recruitment model generally require a carrying capacity for minke whales that first increased and then stabilized or declined somewhat during the last century, and suggest MSYR(1+) values in the 4-6% range. The improved precision in the estimation of M may contribute in the improvement of management and assessment of this species on a stock-specific basis, since it can reduce the uncertainty concerning the value of M and can provide an improved prior distribution for MSYR. The latter in particular, in the context of providing a measure of the productivity of which the species is capable, is essential information for effective RMP implementation through reduction of the range of plausible scenarios which need to be considered in Implementation Simulation Trials. DA - 2006 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2006 T1 - Application of ADAPT-VPA to Antarctic minke whales in the JARPA research area TI - Application of ADAPT-VPA to Antarctic minke whales in the JARPA research area UR - http://hdl.handle.net/11427/17845 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/17845
dc.identifier.vancouvercitationMori M, Kitakado T, Butterworth DS. Application of ADAPT-VPA to Antarctic minke whales in the JARPA research area. 2006 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/17845en_ZA
dc.languageengen_ZA
dc.publisher.departmentMarine Resource Assessment and Management Groupen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherAdapt-VPA
dc.subject.otherCatch-at-age
dc.subject.otherNatural mortality
dc.subject.otherAntarctic minke whale
dc.titleApplication of ADAPT-VPA to Antarctic minke whales in the JARPA research areaen_ZA
dc.typeWorking Paperen_ZA
uct.subject.keywordsAdapt-VPA; Catch-at-age; Natural mortality; Antarctic minke whaleen_ZA
uct.type.publicationResearchen_ZA
uct.type.resourceResearch paperen_ZA
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