Empirically testing the effectiveness of thermal imaging as a tool for identification of large mammals in the African bushveldt

Goodenough, Anne E and Carpenter, William and MacTavish, Lynne and MacTavish, Dougal and Theron, Charles and Hart, Adam G (2017) Empirically testing the effectiveness of thermal imaging as a tool for identification of large mammals in the African bushveldt. African Journal of Ecology. ISSN 0141-6707 (In Press)

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Abstract

Monitoring animal populations often relies on direct visual observations. This is problematic at night when spotlighting can cause misidentification and inaccurate counting. Using infrared thermography (IRT) could potentially solve these difficulties, but reliability is uncertain. Here, we test the accuracy of 24 observers, differing in experience and skill levels, in identifying antelope species from IRT photographs taken in the African bush. Overall, 38% of identifications were correct to species level and 50% were correct to genus/subfamily level. Identification accuracy depended on the confidence and skill of the observer (positive relationship), the number of animals present (positive relationship), and the distance at which it was taken (negative relationship). Species with characteristic features, horn morphology, or posture were identified with ~80% accuracy (e.g. wildebeest, kudu, impala) while others were considerably lower (e.g. blesbok, waterbuck). Experience significantly improved identification accuracy but the effect was not consistent between species and even experienced observers struggled to identify red hartebeest, reedbuck and eland. Counting inaccuracies were commonplace, particularly when group size was large. We conclude that thermal characteristics of species and experience of observers can pose challenges for African field ecologists but IRT can be used to identify and count some species accurately, especially <100m.

Item Type: Article
Article Type: Article
Uncontrolled Keywords: Antelope identification; Infrared thermography; Nocturnal surveying; Species monitoring; Survey tool
Subjects: Q Science > QL Zoology
Divisions: Schools and Research Institutes > School of Natural & Social Sciences > Environmental Sciences
Research Priority Areas: Environmental Dynamics & Governance
Depositing User: Susan Turner
Date Deposited: 13 Mar 2017 12:44
Last Modified: 06 Aug 2017 02:09
URI: http://eprints.glos.ac.uk/id/eprint/4392

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