Test fishing analyses for Nightingale Island

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dc.contributor.authorJohnston, Susan J
dc.contributor.authorButterworth, Doug S
dc.contributor.authorBrandão, Anabela
dc.contributor.authorMuller, A
dc.date.accessioned2016-04-06T10:58:09Z
dc.date.available2016-04-06T10:58:09Z
dc.date.issued2012
dc.date.updated2016-04-06T10:57:11Z
dc.description.abstractBecause there was no pre-OLIVA fishing in the month of January 2011, the simpler earlier approach of Johnston (2011) to analyse test fishing data by month to assess the OLIVA impact needs to be refined to be able to include data from January 2012. General Linear Models are used for this purpose; these have the additional advantage that they can take more data into account in adjusting for monthly patterns. These models also reveal a regional pattern in the OLIVA impact, which is least in the north and greatest in the southeast. There is some indication that the impact has decreased slightly over time, but the trend is not statistically significant. The best estimate obtained for the OLIVA impact is a decrease of about 50% (SE=5%) in abundance of lobsters above the size limit.en_ZA
dc.identifier.apacitationJohnston, S. J., Butterworth, D. S., Brandão, A., & Muller, A. (2012). <i>Test fishing analyses for Nightingale Island</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group. Retrieved from http://hdl.handle.net/11427/18656en_ZA
dc.identifier.chicagocitationJohnston, Susan J, Doug S Butterworth, Anabela Brandão, and A Muller <i>Test fishing analyses for Nightingale Island.</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group, 2012. http://hdl.handle.net/11427/18656en_ZA
dc.identifier.citationJohnston, S. J., Butterworth, D. S., Brandão, A., Muller, A. (2012). Test fishing analyses for Nightingale Island. MARAM/Tristan/2012/JUN/02en_ZA
dc.identifier.ris TY - Working Paper AU - Johnston, Susan J AU - Butterworth, Doug S AU - Brandão, Anabela AU - Muller, A AB - Because there was no pre-OLIVA fishing in the month of January 2011, the simpler earlier approach of Johnston (2011) to analyse test fishing data by month to assess the OLIVA impact needs to be refined to be able to include data from January 2012. General Linear Models are used for this purpose; these have the additional advantage that they can take more data into account in adjusting for monthly patterns. These models also reveal a regional pattern in the OLIVA impact, which is least in the north and greatest in the southeast. There is some indication that the impact has decreased slightly over time, but the trend is not statistically significant. The best estimate obtained for the OLIVA impact is a decrease of about 50% (SE=5%) in abundance of lobsters above the size limit. DA - 2012 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2012 T1 - Test fishing analyses for Nightingale Island TI - Test fishing analyses for Nightingale Island UR - http://hdl.handle.net/11427/18656 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/18656
dc.identifier.vancouvercitationJohnston SJ, Butterworth DS, Brandão A, Muller A. Test fishing analyses for Nightingale Island. 2012 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/18656en_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.rightsAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.otherfishing analyses
dc.subject.otherNightingale Island
dc.titleTest fishing analyses for Nightingale Islanden_ZA
dc.typeWorking Paperen_ZA
uct.type.filetypeText
uct.type.publicationResearchen_ZA
uct.type.resourceResearch paperen_ZA
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