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Tracking drop bears with GNSS

Citation

Janssen, V, Tracking drop bears with GNSS, Azimuth, The Institution of Surveyors NSW, Australia, 52, 8, pp. 32-33. (2013) [Magazine Article]


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Copyright Statement

Copyright 2013 The Institution of Surveyors NSW

Official URL: http://www.surveyors.org.au/

Abstract

For about 50 years, the tagging and tracking of animals has been a vital tool in the quest to better understand animal behaviour and ecology. The use of Global Navigation Satellite System (GNSS) technology has yielded huge advances in this field by providing accurate and frequent measurements of the distributions of many animal species. However, employing conventional GNSS-based animal tracking methods to study the drop bear (Thylarctos plummetus) is extremely difficult due to its habitat. The dense tree canopy regularly causes extended periods of complete GNSS signal loss, and sensors are often damaged during attacks on prey. This severely reduces the availability of meaningful tracking data and substantially increases the cost of drop bear tracking. Recently, an alternative, indirect GNSS-based approach for tracking drop bears has been presented. Rather than attaching sensors to the animals themselves, the prey is tracked. The drop bear population is then mapped by pinpointing the location and timing of attacks. This bush-path breaking research has attracted a lot of attention from Australia and overseas. This article summarises some of the feedback received from various sources and outlines the coverage the study has enjoyed in the media.

Item Details

Item Type:Magazine Article
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Geodesy
Objective Division:Environment
Objective Group:Flora, Fauna and Biodiversity
Objective Field:Flora, Fauna and Biodiversity of environments not elsewhere classified
UTAS Author:Janssen, V (Dr Volker Janssen)
ID Code:90366
Year Published:2013
Deposited By:Geography and Environmental Studies
Deposited On:2014-04-01
Last Modified:2014-06-10
Downloads:216 View Download Statistics

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