Improving the efficiency of wildlife monitoring by estimating detectability: a case study of foxes (Vulpes vulpes) on the Eyre Peninsula, South Australia

Field, S. A., Thorn, K. H., O'Connor, P. J., Possingham, H. and Tyre, R. A. J. (2005) Improving the efficiency of wildlife monitoring by estimating detectability: a case study of foxes (Vulpes vulpes) on the Eyre Peninsula, South Australia. Wildlife Research, 32 3: 253-258. doi:10.1071/WR05010


Author Field, S. A.
Thorn, K. H.
O'Connor, P. J.
Possingham, H.
Tyre, R. A. J.
Title Improving the efficiency of wildlife monitoring by estimating detectability: a case study of foxes (Vulpes vulpes) on the Eyre Peninsula, South Australia
Journal name Wildlife Research   Check publisher's open access policy
ISSN 1035-3712
Publication date 2005
Sub-type Article (original research)
DOI 10.1071/WR05010
Open Access Status
Volume 32
Issue 3
Start page 253
End page 258
Total pages 6
Editor C. Myers
Place of publication Collingwood
Publisher C S I R O Publishing
Collection year 2005
Language eng
Subject C1
270708 Conservation and Biodiversity
770804 Control of pests and exotic species
Abstract Demonstrating the existence of trends in monitoring data is of increasing practical importance to conservation managers wishing to preserve threatened species or reduce the impact of pest species. However, the ability to do so can be compromised if the species in question has low detectability and the true occupancy level or abundance of the species is thus obscured. Zero-inflated models that explicitly model detectability improve the ability to make sound ecological inference in such situations. In this paper we apply an occupancy model including detectability to data from the initial stages of a fox-monitoring program on the Eyre Peninsula, South Australia. We find that detectability is extremely low (< 18%) and varies according to season and the presence or absence of roadside vegetation. We show that simple methods of using monitoring data to inform management, such as plotting the raw data or performing logistic regression, fail to accurately diagnose either the status of the fox population or its trajectory over time. We use the results of the detectability model to consider how future monitoring could be redesigned to achieve efficiency gains. A wide range of monitoring programs could benefit from similar analyses, as part of an active adaptive approach to improving monitoring and management.
Keyword Zoology
Estimating Site Occupancy
Detection Probabilities
Abundance
Management
Precision
Trends
Rates
Bias
Q-Index Code C1

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 22 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 22 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 15 Aug 2007, 05:24:48 EST