Penguin population models for Robben Island

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dc.contributor.authorRobinson, William M L
dc.contributor.authorButterworth, Doug S
dc.date.accessioned2016-03-17T09:05:55Z
dc.date.available2016-03-17T09:05:55Z
dc.date.issued2010
dc.date.updated2016-03-17T07:43:41Z
dc.description.abstractAs an initial illustrative exercise, a population model for Robben Island penguins, which includes dependency of reproductive success and survival rate on pelagic fish abundance, is fitted to moult count information for the colony. The results indicate a strong dependence of adult penguin survival rate on sardine abundance west of Cape Agulhas. However, the logistic transformation used to ensure respect of biological constraints on these demographic parameters leads to some problems in extending the approach to Bayesian estimation. Further work will explore use of the beta distribution and the incorporation of further data for the penguin population in the fitting process.en_ZA
dc.identifier.apacitationRobinson, W. M. L., & Butterworth, D. S. (2010). <i>Penguin population models for Robben Island</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group. Retrieved from http://hdl.handle.net/11427/17921en_ZA
dc.identifier.chicagocitationRobinson, William M L, and Doug S Butterworth <i>Penguin population models for Robben Island.</i> University of Cape Town ,Faculty of Science ,Marine Resource Assessment and Management Group, 2010. http://hdl.handle.net/11427/17921en_ZA
dc.identifier.citationRobinson, W. & Butterworth, D. (2010). Penguin population models for Robben Island.en_ZA
dc.identifier.ris TY - Working Paper AU - Robinson, William M L AU - Butterworth, Doug S AB - As an initial illustrative exercise, a population model for Robben Island penguins, which includes dependency of reproductive success and survival rate on pelagic fish abundance, is fitted to moult count information for the colony. The results indicate a strong dependence of adult penguin survival rate on sardine abundance west of Cape Agulhas. However, the logistic transformation used to ensure respect of biological constraints on these demographic parameters leads to some problems in extending the approach to Bayesian estimation. Further work will explore use of the beta distribution and the incorporation of further data for the penguin population in the fitting process. DA - 2010 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2010 T1 - Penguin population models for Robben Island TI - Penguin population models for Robben Island UR - http://hdl.handle.net/11427/17921 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/17921
dc.identifier.vancouvercitationRobinson WML, Butterworth DS. Penguin population models for Robben Island. 2010 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/17921en_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.titlePenguin population models for Robben Islanden_ZA
dc.typeWorking Paperen_ZA
uct.type.publicationResearchen_ZA
uct.type.resourceResearch paperen_ZA
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