Pretesting the likely efficacy of suggested management approaches to data-poor fisheries

dc.contributor.authorButterworth, Doug S
dc.contributor.authorJohnston, Susan J
dc.contributor.authorBrandão, Anabela
dc.date.accessioned2016-03-17T07:28:37Z
dc.date.available2016-03-17T07:28:37Z
dc.date.issued2010
dc.date.updated2016-03-17T07:24:47Z
dc.description.abstractThe thrust of this paper is that decision rules for the management of data-poor fisheries cannot be based on expert judgment alone. Such rules need to specifically link management responses to the values of the indicators available for the fishery and their trends. Prior simulation testing is needed to confirm that the application of any rules suggested is likely to achieve the objectives sought for the fishery. The management procedure (MP) approach (also called management strategy evaluation), which provides a framework for such testing, is summarized briefly. How this approach could be used to develop a decision rule for a fishery for which the only indicator available is the mean length of the catch is presented as an example. The extent to which the ability to meet management objectives could be improved if an unbiased index of relative abundance were available, and an MP based on a fitted population model applied, is illustrated. An MP developed for the fishery for Patagonian toothfish Dissotichus eleginoides off the sub-Antarctic Prince Edward Islands is summarized. This illustrates how the MP testing framework can be used in circumstances in which the available indicators conflict, leading to considerable uncertainty about the present resource status. The information content of indicators is closely related to the extent to which they vary about trends in the underlying resource attributes (e.g., catch per unit effort and underlying abundance). The compilation of lists of the statistical properties (such as the coefficients of variation and autocorrelations) of the residuals about detrended time series of the indicators, together with their likely relationships to the underlying attribute, for fisheries worldwide is suggested. This would provide a sound basis for specifying error structure in the simulation tests advocated for both generic and case-specific decision rules for data-poor fisheries.en_ZA
dc.identifierhttp://dx.doi.org/10.1577/C08-038.1
dc.identifier.apacitationButterworth, D. S., Johnston, S. J., & Brandão, A. (2010). Pretesting the likely efficacy of suggested management approaches to data-poor fisheries. <i>Marine and Coastal Fisheries:Dynamics, Management, and Ecosystem Science</i>, http://hdl.handle.net/11427/17907en_ZA
dc.identifier.chicagocitationButterworth, Doug S, Susan J Johnston, and Anabela Brandão "Pretesting the likely efficacy of suggested management approaches to data-poor fisheries." <i>Marine and Coastal Fisheries:Dynamics, Management, and Ecosystem Science</i> (2010) http://hdl.handle.net/11427/17907en_ZA
dc.identifier.citationButterworth, D. S., Johnston, S. J., & Brandão, A. (2010). Pretesting the likely efficacy of suggested management approaches to data-poor fisheries. Marine and Coastal Fisheries, 2(1), 131-145.en_ZA
dc.identifier.issn1942-5120en_ZA
dc.identifier.ris TY - Journal Article AU - Butterworth, Doug S AU - Johnston, Susan J AU - Brandão, Anabela AB - The thrust of this paper is that decision rules for the management of data-poor fisheries cannot be based on expert judgment alone. Such rules need to specifically link management responses to the values of the indicators available for the fishery and their trends. Prior simulation testing is needed to confirm that the application of any rules suggested is likely to achieve the objectives sought for the fishery. The management procedure (MP) approach (also called management strategy evaluation), which provides a framework for such testing, is summarized briefly. How this approach could be used to develop a decision rule for a fishery for which the only indicator available is the mean length of the catch is presented as an example. The extent to which the ability to meet management objectives could be improved if an unbiased index of relative abundance were available, and an MP based on a fitted population model applied, is illustrated. An MP developed for the fishery for Patagonian toothfish Dissotichus eleginoides off the sub-Antarctic Prince Edward Islands is summarized. This illustrates how the MP testing framework can be used in circumstances in which the available indicators conflict, leading to considerable uncertainty about the present resource status. The information content of indicators is closely related to the extent to which they vary about trends in the underlying resource attributes (e.g., catch per unit effort and underlying abundance). The compilation of lists of the statistical properties (such as the coefficients of variation and autocorrelations) of the residuals about detrended time series of the indicators, together with their likely relationships to the underlying attribute, for fisheries worldwide is suggested. This would provide a sound basis for specifying error structure in the simulation tests advocated for both generic and case-specific decision rules for data-poor fisheries. DA - 2010 DB - OpenUCT DP - University of Cape Town J1 - Marine and Coastal Fisheries:Dynamics, Management, and Ecosystem Science LK - https://open.uct.ac.za PB - University of Cape Town PY - 2010 SM - 1942-5120 T1 - Pretesting the likely efficacy of suggested management approaches to data-poor fisheries TI - Pretesting the likely efficacy of suggested management approaches to data-poor fisheries UR - http://hdl.handle.net/11427/17907 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/17907
dc.identifier.vancouvercitationButterworth DS, Johnston SJ, Brandão A. Pretesting the likely efficacy of suggested management approaches to data-poor fisheries. Marine and Coastal Fisheries:Dynamics, Management, and Ecosystem Science. 2010; http://hdl.handle.net/11427/17907.en_ZA
dc.languageengen_ZA
dc.publisherTaylor & Francisen_ZA
dc.publisher.departmentMarine Resource Assessment and Management Groupen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.sourceMarine and Coastal Fisheries:Dynamics, Management, and Ecosystem Scienceen_ZA
dc.source.urihttp://www.tandfonline.com/toc/umcf20/current
dc.titlePretesting the likely efficacy of suggested management approaches to data-poor fisheriesen_ZA
dc.typeJournal Articleen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceArticleen_ZA
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