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Conservation cornerstones: Capitalising on the endeavours of long-term monitoring projects
Authors:Greg J. Holland  Jerry S.A. Alexander  Peter Johnson  Andrew H. Arnold  Merril Halley  Andrew F. Bennett
Affiliation:1. Landscape Ecology Research Group, School of Life and Environmental Sciences, Deakin University, 221 Burwood Highway, Burwood, Victoria 3125, Australia;2. Department of Sustainability and Environment, 1 McKoy Street, Wodonga, Victoria 3690, Australia;3. Department of Sustainability and Environment, PO Box 3100, Bendigo, Victoria 3554, Australia;4. Department of Sustainability and Environment, 402-406 Mair Street, Ballarat, Victoria 3350, Australia;5. Bayshore Condominium, Jalan Bukit Bendera Upper, Likas, Kota Kinabalu, Sabah 88400, Malaysia
Abstract:
Ecological monitoring is widely used to measure change through time in ecosystems. The current extinction crisis has resulted in a wealth of monitoring programs focussed on tracking the status of threatened species, and the perceived importance of monitoring has seen it become the cornerstone of many biodiversity conservation programs. However, many monitoring programs fail to produce useful outcomes due to inherent flaws. Here we use a monitoring program from south-eastern Australia as a case study to illustrate the potential of such endeavours. The threatened carnivorous marsupial, the brush-tailed phascogale (Phascogale tapoatafa), has been monitored at various locations between 2000 and 2010. We present strong evidence for a decline in relative abundance during this period, and also describe relationships with environmental variables. These results provide insights likely to be valuable in guiding future management of the species. In the absence of the monitoring program, informed management would not be possible. While early detection of population declines is important, knowledge of the processes driving such declines is required for effective intervention. We argue that monitoring programs will be most effective as a tool for enhanced conservation management if they test specific hypotheses relating to changes in population trajectories. Greater emphasis should be placed on rigorous statistical analysis of monitoring datasets in order to capitalise on the resources devoted to monitoring activities. Many datasets are likely to exist for which careful analysis of results would have benefits for determining management directions.
Keywords:
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