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Individual identification of northern quolls (Dasyurus hallucatus) using remote cameras
Citation
Hohnen, R and Ashby, J and Tuft, K and McGregor, Hugh, Individual identification of northern quolls (Dasyurus hallucatus) using remote cameras, Australian Mammalogy, 35, (2) pp. 131-135. ISSN 0310-0049 (2013) [Refereed Article]
Copyright Statement
Copyright 2012 Australian Mammal Society
DOI: doi:10.1071/AM12015
Abstract
We have developed a technique to identify individual northern quolls (Dasyurus hallucatus) from their spot
patterns using photographs taken by remote infrared cameras. We suggest a method for bait placement and camera set-up to
optimise the identification of individual quolls. We compared two methods, which differed in the placement of the bait and
number of photographs per trigger, to determine which produced the best images for the purposes of identification. When the
bait was positioned so that quolls needed to reach to access it, and a greater number of images were taken per trigger, a higher
percentage of individuals were successfully identified. Variation in bait placement did not significantly affect the amount of
time the quolls spent around the cameras. The study concludes that individual northern quolls are identifiable from their spot
patterns using remote cameras, and adjustments to bait placement and the number of photographs per trigger significantly
improves the quality of the information that the cameras provide.
Item Details
Item Type: | Refereed Article |
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Keywords: | survey method |
Research Division: | Biological Sciences |
Research Group: | Ecology |
Research Field: | Terrestrial ecology |
Objective Division: | Environmental Management |
Objective Group: | Management of Antarctic and Southern Ocean environments |
Objective Field: | Assessment and management of Antarctic and Southern Ocean ecosystems |
UTAS Author: | Hohnen, R (Dr Rosemary Hohnen) |
UTAS Author: | McGregor, Hugh (Dr Hugh McGregor) |
ID Code: | 81949 |
Year Published: | 2013 (online first 2012) |
Web of Science® Times Cited: | 37 |
Deposited By: | Research Division |
Deposited On: | 2013-01-11 |
Last Modified: | 2017-10-31 |
Downloads: | 0 |
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