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Australian Mammalogy Australian Mammalogy Society
Journal of the Australian Mammal Society
RESEARCH ARTICLE

Detectability and activity patterns of sambar deer (Rusa unicolor) in Baw Baw National Park, Victoria

Christopher Davies https://orcid.org/0000-0002-2384-4535 A C , Wendy Wright A , Fiona E. Hogan A and Hugh Davies B
+ Author Affiliations
- Author Affiliations

A School of Health and Life Sciences, Federation University Australia, Churchill, Vic. 3842, Australia.

B NESP Threatened Species Recovery Hub, Research Institute for the Environment and Livelihoods, Charles Darwin University, Casuarina, NT 0909, Australia.

C Corresponding author. Email: cwdavies87@gmail.com

Australian Mammalogy 42(3) 312-320 https://doi.org/10.1071/AM19029
Submitted: 4 April 2019  Accepted: 29 January 2020   Published: 26 February 2020

Abstract

Introduced sambar deer (Rusa unicolor) are increasing in abundance and distribution across much of south-eastern Australia and causing damage to native ecosystems. However, the current paucity of knowledge surrounding many aspects of sambar deer ecology is limiting our capacity to make informed management decisions, and properly gauge the extent of deer impacts. Here we investigate correlates of sambar deer detectability and describe activity patterns of sambar deer in Baw Baw National Park (BBNP) to inform control operations. Camera traps were deployed in BBNP between October and December 2016. We used an occupancy modelling framework to investigate sambar deer detectability and camera trap record time stamps to determine sambar deer activity patterns. Sambar deer were found to be significantly more detectable near roads and in areas of sparse tree density and displayed strong crepuscular activity patterns. Control operations carried out along roads at dawn and dusk could be effective, at least in the short term. Likewise, aerial culling could be an effective control option for sambar deer populations in BBNP. This study highlights the utility of camera trap data to inform the application of control operations for cryptic invasive species.

Additional keywords: Cervidae, invasive species, modelling, wildlife management.


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