Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/18570
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Data-poor management of African lion hunting using a relative index of abundance
Authors: Edwards, Charles T T
Bunnefeld, Nils
Balme, Guy A
Milner-Gulland, Eleanor J
Contact Email: nils.bunnefeld@stir.ac.uk
Keywords: management strategy evaluation
control rule
operating model
matrix model
Issue Date: Jan-2014
Publisher: National Academy of Sciences
Citation: Edwards CTT, Bunnefeld N, Balme GA & Milner-Gulland EJ (2014) Data-poor management of African lion hunting using a relative index of abundance, Proceedings of the National Academy of Sciences, 111 (1), pp. 539-543.
Abstract: Sustainable management of terrestrial hunting requires managers to set quotas restricting offtake. This often takes place in the absence of reliable information on the population size, and as a consequence, quotas are set in an arbitrary fashion, leading to population decline and revenue loss. In this investigation, we show how an indirect measure of abundance can be used to set quotas in a sustainable manner, even in the absence of information on population size. Focusing on lion hunting in Africa, we developed a simple algorithm to convert changes in the number of safari days required to kill a lion into a quota for the following year. This was tested against a simulation model of population dynamics, accounting for uncertainties in demography, observation, and implementation. Results showed it to reliably set sustainable quotas despite these uncertainties, providing a robust foundation for the conservation of hunted species.
Type: Journal Article
URI: http://hdl.handle.net/1893/18570
DOI Link: http://dx.doi.org/10.1073/pnas.1219615110
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Imperial College London
Biological and Environmental Sciences
University of Cape Town
Imperial College London

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