On costs and decisions in population management |
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| Institution: | 1. The Kirby Institute, UNSW Australia, Sydney 2052, NSW, Australia;2. Australia Zoo Wildlife Hospital, Beerwah 4519, QLD, Australia;3. Sustainable Minerals Institute, The University of Queensland, St. Lucia 4072, QLD, Australia;4. Environmental Planning, City of Gold Coast, Gold Coast 9729, QLD, Australia;5. Environmental Futures Centre, Griffith School of Environment, Griffith University, Nathan 4111, QLD, Australia;6. Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove 4059, QLD, Australia;1. The University of Queensland, Landscape Ecology and Conservation Group, School of Geography, Planning, and Environmental Management, Queensland 4072, Australia;2. Centre for Biodiversity and Conservation Science, School of Biological Sciences, The University of Queensland, Queensland 4072, Australia;3. Office of Environment and Heritage, NSW 2220, Australia;4. School of Biological Sciences, University of Sydney, NSW 2006, Australia;5. National Environmental Science Programme (NESP) Threatened Species Recovery Hub, Queensland 4072, Australia;1. Evolution, Ecology and Genetics, Research School of Biology, The Australian National University, Canberra ACT 0200, Australia;2. Kings Park and Botanic Garden, West Perth 6005, Western Australia, Australia;3. School of Plant Biology, The University of Western Australia, Nedlands 6009, Western Australia, Australia;4. Fenner School of Environment and Society, The Australian National University, Canberra ACT 0200, Australia;5. Centre of Excellence in Natural Resource Management, The University of Western Australia, PO Box 5771, Albany 6332, Western Australia, Australia;1. Institute of Health and Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Brisbane 4059, Australia;2. Endeavour Veterinary Ecology Pty Ltd, 1695 Pumicestone Road, Toorbul 4510, Australia;1. Ecoplan Australia Pty Ltd, PO Box 968 Torquay 3228, Australia;2. School of Life and Environmental Sciences, Deakin University, 221 Burwood Hwy, Burwood 3125, Australia;3. School of Ecosystem and Forest Sciences, The University of Melbourne, 4 Water St Creswick 3363, Australia;1. The University of Queensland, School of Biomedical Sciences, St Lucia, Queensland 4072, Australia;2. The University of Queensland, Landscape Ecology and Conservation Group, School of Geography, Planning and Environmental Management, St Lucia, Queensland 4072, Australia;3. Office of Environment and Heritage NSW, PO Box 1967, Hurstville, New South Wales 2220, Australia |
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| Abstract: | Many populations have a negative impact on their habitat, or upon other species in the environment, if their numbers become too large. For this reason they are often managed using some form of control. The objective is to keep numbers at a sustainable level, while ensuring survival of the population. Here we present models that allow population management programs to be assessed. Two common control regimes will be considered: reduction and suppression. Under the suppression regime the population is maintained close to a particular threshold through near continuous control, while under the reduction regime, control begins once the population reaches a certain threshold and continues until it falls below a lower pre-defined level. We discuss how to best choose the control parameters, and we provide tools that allow population managers to select reduction levels and control rates. Additional tools will be provided to assess the effect of different control regimes, in terms of population persistence and cost. In particular we consider the effects of each regime on the probability of extinction and the expected time to extinction, and compare the control methods in terms of the expected total cost of each regime over the life of the population. The usefulness of our results will be illustrated with reference to the control of a koala population inhabiting Kangaroo Island, Australia. |
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