Further test fishing analyses for Nightingale Island
| dc.contributor.author | Johnston, Susan J | |
| dc.contributor.author | Butterworth, Doug S | |
| dc.contributor.author | Brandão, Anabela | |
| dc.date.accessioned | 2016-04-21T09:44:53Z | |
| dc.date.available | 2016-04-21T09:44:53Z | |
| dc.date.issued | 2013 | |
| dc.date.updated | 2016-04-21T08:17:35Z | |
| dc.description.abstract | 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. | en_ZA |
| dc.identifier.apacitation | Johnston, S. J., Butterworth, D. S., & Brandão, A. (2013). <i>Further 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/11427/19073 | en_ZA |
| dc.identifier.chicagocitation | Johnston, Susan J, Doug S Butterworth, and Anabela Brandão <i>Further test fishing analyses for Nightingale Island.</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group, 2013. http://hdl.handle.net/11427/19073 | en_ZA |
| dc.identifier.citation | Johnston, S. J., Butterworth, D. S., & Brandao, A. (2013). Further test fishing analyses for Nightingale Island. | en_ZA |
| dc.identifier.ris | TY - Working Paper AU - Johnston, Susan J AU - Butterworth, Doug S AU - Brandão, Anabela 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 - 2013 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - Further test fishing analyses for Nightingale Island TI - Further test fishing analyses for Nightingale Island UR - http://hdl.handle.net/11427/19073 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/19073 | |
| dc.identifier.vancouvercitation | Johnston SJ, Butterworth DS, Brandão A. Further test fishing analyses for Nightingale Island. 2013 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/19073 | en_ZA |
| dc.language | eng | en_ZA |
| dc.publisher.department | Marine Resource Assessment and Management Group | en_ZA |
| dc.publisher.faculty | Faculty of Science | en_ZA |
| dc.publisher.institution | University of Cape Town | |
| dc.rights | Creative Commons Attribution 4.0 International (CC BY 4.0) | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.title | Further test fishing analyses for Nightingale Island | en_ZA |
| dc.type | Working Paper | en_ZA |
| uct.type.filetype | Text | |
| uct.type.filetype | Image | |
| uct.type.publication | Research | en_ZA |
| uct.type.resource | Research paper | en_ZA |