Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/115870
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Type: | Journal article |
Title: | A comparison between video and still imagery as a methodology to determine southern hairy-nosed wombat (Lasiorhinus latifrons) burrow occupancy rates |
Author: | Swinbourne, M.J. Taggart, D.A. Ostendorf, B. |
Citation: | Animals, 2018; 8(11):186-1-186-14 |
Publisher: | MDPI AG |
Issue Date: | 2018 |
ISSN: | 2076-2615 2076-2615 |
Statement of Responsibility: | Michael J. Swinbourne, David A. Taggart and Bertram Ostendorf |
Abstract: | Broad-scale abundance estimates of the southern hairy-nosed wombat population use a proxy measure based on counting the number of active burrows, which is multiplied by an index of 'wombats/active burrow'. However, the extant indices were calculated in the 1980s, prior to the use of calicivirus to control rabbits, and used invasive monitoring methods which may have affected the results. We hypothesise that the use of video might provide a logistically simple, non-invasive means of calculating updated indices. To this end, motion-activated, infra-red still and video cameras were placed at various distances outside active wombat burrows in the South Australian Murraylands and Eyre Peninsula regions. The captured imagery was inspected to determine how often the burrow was occupied by one or more wombats, and how effective the cameras were at detecting wombat activity. Video data was clearly superior to the still imagery, with more than twice as many burrow occupancies being positively identified (still: 43%). The indices of wombats/active burrow calculated based on video imagery were: Murraylands: 0.43, Eyre Peninsula: 0.42. 1948 false positive videos were recorded, of which 1674 (86%) occurred between noon and sunset. |
Keywords: | wombats warrens species abundance wildlife cameras |
Description: | Published: 23 October 2018 |
Rights: | © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
DOI: | 10.3390/ani8110186 |
Grant ID: | http://purl.org/au-research/grants/arc/LP160100937 |
Published version: | http://dx.doi.org/10.3390/ani8110186 |
Appears in Collections: | Aurora harvest 3 Environment Institute publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_115870.pdf | Published version | 1.28 MB | Adobe PDF | View/Open |
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