A Bayesian state-space model for mixed-stock migrations, with application to Northeast Atlantic mackerel Scomber scombrus

Simple item page
dc.contributor.authorCunningham, Carryn L
dc.contributor.authorReid, D G
dc.contributor.authorMcAllister, M K
dc.contributor.authorKirkwood, G P
dc.contributor.authorDarby, C D
dc.date.accessioned2016-03-14T06:47:45Z
dc.date.available2016-03-14T06:47:45Z
dc.date.issued2007
dc.date.updated2016-03-14T06:42:25Z
dc.description.abstractManagement of fisheries that exploit mixed-stock populations relies on assumptions made concerning stock structure and mixing in different areas. To address the problems of accounting for uncertainty when formulating scientific advice for the management of highly migratory fish stocks, management decisions need to be based upon assessment models that represent plausible alternative hypotheses for stock structure and migration patterns of the exploited populations. We present a multi-stock, multi-fleet, multi-area, seasonally structured Bayesian state-space model in which different stocks spawn in spatially different areas and the mixing of these stocks is explicitly accounted for in the absence of sufficient tagging data with which to estimate migration rates. The model is applied to the Northeast Atlantic mackerel Scomber scombrus population, accounting for the annual spawning-feeding-overwintering migration patterns of the three spawning components, together with uncertainty in the extent to which the southern component migrates north to feed and overwinter, and consequently the extent to which it mixes with the other components and is subject to exploitation. The model allows the effect of exploitation on the individual components to be assessed, and the results suggest that the fishing mortality of southern spawning adults was insensitive to the extent to which they migrated north.en_ZA
dc.identifierhttp://dx.doi.org/http://www.tandfonline.com/doi/abs/10.2989/AJMS.2007.29.3.4.334
dc.identifier.apacitationCunningham, C. L., Reid, D. G., McAllister, M. K., Kirkwood, G. P., & Darby, C. D. (2007). A Bayesian state-space model for mixed-stock migrations, with application to Northeast Atlantic mackerel Scomber scombrus. <i>African Journal of Marine Science</i>, http://hdl.handle.net/11427/17664en_ZA
dc.identifier.chicagocitationCunningham, Carryn L, D G Reid, M K McAllister, G P Kirkwood, and C D Darby "A Bayesian state-space model for mixed-stock migrations, with application to Northeast Atlantic mackerel Scomber scombrus." <i>African Journal of Marine Science</i> (2007) http://hdl.handle.net/11427/17664en_ZA
dc.identifier.citationCunningham, C. L., Reid, D. G., McAllister, M. K., Kirkwood, G. P., & Darby, C. D. (2007). A Bayesian state-space model for mixed-stock migrations, with application to Northeast Atlantic mackerel Scomber scombrus. African Journal of Marine Science, 29(3), 347-367.en_ZA
dc.identifier.issn1814-232Xen_ZA
dc.identifier.ris TY - Journal Article AU - Cunningham, Carryn L AU - Reid, D G AU - McAllister, M K AU - Kirkwood, G P AU - Darby, C D AB - Management of fisheries that exploit mixed-stock populations relies on assumptions made concerning stock structure and mixing in different areas. To address the problems of accounting for uncertainty when formulating scientific advice for the management of highly migratory fish stocks, management decisions need to be based upon assessment models that represent plausible alternative hypotheses for stock structure and migration patterns of the exploited populations. We present a multi-stock, multi-fleet, multi-area, seasonally structured Bayesian state-space model in which different stocks spawn in spatially different areas and the mixing of these stocks is explicitly accounted for in the absence of sufficient tagging data with which to estimate migration rates. The model is applied to the Northeast Atlantic mackerel Scomber scombrus population, accounting for the annual spawning-feeding-overwintering migration patterns of the three spawning components, together with uncertainty in the extent to which the southern component migrates north to feed and overwinter, and consequently the extent to which it mixes with the other components and is subject to exploitation. The model allows the effect of exploitation on the individual components to be assessed, and the results suggest that the fishing mortality of southern spawning adults was insensitive to the extent to which they migrated north. DA - 2007 DB - OpenUCT DP - University of Cape Town J1 - African Journal of Marine Science LK - https://open.uct.ac.za PB - University of Cape Town PY - 2007 SM - 1814-232X T1 - A Bayesian state-space model for mixed-stock migrations, with application to Northeast Atlantic mackerel Scomber scombrus TI - A Bayesian state-space model for mixed-stock migrations, with application to Northeast Atlantic mackerel Scomber scombrus UR - http://hdl.handle.net/11427/17664 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/17664
dc.identifier.urihttp://www.nisc.co.za/products/abstracts/15853/a-bayesian-state-space-model-for-mixed-stock-migrations-with-application-to-northeast-atlantic-mackerel-scomber-scombrus
dc.identifier.vancouvercitationCunningham CL, Reid DG, McAllister MK, Kirkwood GP, Darby CD. A Bayesian state-space model for mixed-stock migrations, with application to Northeast Atlantic mackerel Scomber scombrus. African Journal of Marine Science. 2007; http://hdl.handle.net/11427/17664.en_ZA
dc.languageengen_ZA
dc.publisherNational Inquiry Services Centre (NISC)en_ZA
dc.publisher.departmentMarine Resource Assessment and Management Groupen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.sourceAfrican Journal of Marine Scienceen_ZA
dc.source.urihttp://www.tandfonline.com/toc/tams20/current
dc.subject.otherBayesian state-space model
dc.subject.otherMackerel
dc.subject.otherMigration
dc.subject.otherMixed stocks
dc.subject.otherUncertainty
dc.titleA Bayesian state-space model for mixed-stock migrations, with application to Northeast Atlantic mackerel Scomber scombrusen_ZA
dc.typeJournal Articleen_ZA
uct.subject.keywordsBayesian state-space modelen_ZA
uct.subject.keywordsMackerelen_ZA
uct.subject.keywordsMigrationen_ZA
uct.subject.keywordsMixed stocksen_ZA
uct.subject.keywordsUncertaintyen_ZA
uct.type.publicationResearchen_ZA
uct.type.resourceArticleen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Cunningham_A_Bayesian_state_space_model_2007.pdf
Size:
650.18 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.72 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Journal Articles