Inclusion of skipper effect in the GLM standardisation of the CPUE abundance indices for orange roughy off Namibia

dc.contributor.authorBrandão, Anabela
dc.contributor.authorButterworth, Doug S
dc.date.accessioned2016-04-01T10:31:34Z
dc.date.available2016-04-01T10:31:34Z
dc.date.issued2007
dc.date.updated2016-04-01T10:30:15Z
dc.description.abstractVarious GLM analyses are used to standardise the CPUE data for Namibian orange roughy to investigate the impact of using information on skippers rather than on vessels. The inclusion in the GLMs of a skipper factor rather than a vessel factor results in lower CPUE indices for the most recent years. Classifying skippers as experienced or inexperienced in orange roughy fishing does not have an appreciable impact on standardised CPUE trends. However, classifying individual initially inexperienced skippers as experienced after their first year in the fishery results in lower CPUE indices, in particular for the last four years. In broad terms, there is not a clear difference between skippers pre-classified as experienced or inexperienced.en_ZA
dc.identifier.apacitationBrandão, A., & Butterworth, D. S. (2007). <i>Inclusion of skipper effect in the GLM standardisation of the CPUE abundance indices for orange roughy off Namibia</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group. Retrieved from http://hdl.handle.net/11427/18509en_ZA
dc.identifier.chicagocitationBrandão, Anabela, and Doug S Butterworth <i>Inclusion of skipper effect in the GLM standardisation of the CPUE abundance indices for orange roughy off Namibia.</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group, 2007. http://hdl.handle.net/11427/18509en_ZA
dc.identifier.citationBrandão, A., & Butterworth, D. S. (2007). Inclusion of skipper effect in the GLM standardisation of the CPUE abundance indices for orange roughy off Namibia. MARAM: University of Cape Town.en_ZA
dc.identifier.ris TY - Working Paper AU - Brandão, Anabela AU - Butterworth, Doug S AB - Various GLM analyses are used to standardise the CPUE data for Namibian orange roughy to investigate the impact of using information on skippers rather than on vessels. The inclusion in the GLMs of a skipper factor rather than a vessel factor results in lower CPUE indices for the most recent years. Classifying skippers as experienced or inexperienced in orange roughy fishing does not have an appreciable impact on standardised CPUE trends. However, classifying individual initially inexperienced skippers as experienced after their first year in the fishery results in lower CPUE indices, in particular for the last four years. In broad terms, there is not a clear difference between skippers pre-classified as experienced or inexperienced. DA - 2007 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2007 T1 - Inclusion of skipper effect in the GLM standardisation of the CPUE abundance indices for orange roughy off Namibia TI - Inclusion of skipper effect in the GLM standardisation of the CPUE abundance indices for orange roughy off Namibia UR - http://hdl.handle.net/11427/18509 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/18509
dc.identifier.vancouvercitationBrandão A, Butterworth DS. Inclusion of skipper effect in the GLM standardisation of the CPUE abundance indices for orange roughy off Namibia. 2007 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/18509en_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.titleInclusion of skipper effect in the GLM standardisation of the CPUE abundance indices for orange roughy off Namibiaen_ZA
dc.typeWorking Paperen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceResearch paperen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Brandão_Inclusion_skipper_effect_2007.pdf
Size:
69.31 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.72 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections