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.
Reference:
Johnston, S. J., Butterworth, D. S., Brandão, A., Muller, A. (2012). Test fishing analyses for Nightingale Island. MARAM/Tristan/2012/JUN/02
Johnston, S. J., Butterworth, D. S., Brandão, A., & Muller, A. (2012). Test fishing analyses for Nightingale Island University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group. Retrieved from http://hdl.handle.net/11427/18656
Johnston, Susan J, Doug S Butterworth, Anabela Brandão, and A Muller Test fishing analyses for Nightingale Island. University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group, 2012. http://hdl.handle.net/11427/18656
Johnston SJ, Butterworth DS, Brandão A, Muller A. Test fishing analyses for Nightingale Island. 2012 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/18656
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)