eCite Digital Repository

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
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

Repository Staff Only: item control page