Development of a boundary setting algorithm based on migration rates estimated using BayesAss and its preliminary application to TOSSM datasets

 

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dc.contributor.author Edwards, Charles T T
dc.contributor.author Butterworth, Doug S
dc.date.accessioned 2016-03-30T13:25:37Z
dc.date.available 2016-03-30T13:25:37Z
dc.date.issued 2007
dc.identifier.citation Edwards, C. T., & Butterworth, D. S. (2007). Development of a Boundary Setting Algorithm based on migration rates estimated using BayesAss and its preliminary application to TOSSM datasets. International Whaling Commission document: SC/59/SD06, 1-16. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/18408
dc.identifier.uri http://www.mth.uct.ac.za/maram/pub/2007/SC-59-SD6.pdf
dc.description.abstract A Boundary Setting Algorithm (BSA) is developed that utilises migration rates estimated by the program BayesAss. It is subjected to preliminary testing through application of the BSA to a subset of TOSSM datasets from Archetypes I and II. Two Fully Internally Mixed Areas (FIMAs) are considered, connected by varying rates of migration. The objective of the BSA, implemented through the run.tossm control program, is to decide whether to manage FIMAs as one or two units. Performance is assessed using the depletion and catch statistics produced by run.tossm. Although BayesAss has the potential to provide information relevant to management, performance of the BSA was found to be poor, apparently due to inconsistent and unreliable estimation of the migration rate. en_ZA
dc.language eng en_ZA
dc.subject.other TOSSM
dc.subject.other BSA
dc.subject.other BayesAss
dc.title Development of a boundary setting algorithm based on migration rates estimated using BayesAss and its preliminary application to TOSSM datasets en_ZA
dc.type Working Paper en_ZA
dc.date.updated 2016-03-30T13:24:25Z
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
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uct.type.filetype Text
uct.type.filetype Image


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