OzTrack featured in AWMS newsletter

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An article describing the OzTrack project has been published in the recent newsletter of the Australasian Wildlife Management Society (AWMS). The article ‘OzTrack: new online software for the analysis of animal tracking data’ describes the functionality of the site and provides example tracks and home range estimates for two southern cassowaries fitted with GPS loggers.

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Home range kernels (95% and 50% KUDs) of two cassowaries, generated in OzTrack and featured in the July AWMS newsletter

This is the first release of the OzTrack project to the Australasian animal tracking community. Our hope is that wildlife managers and students will be able to use OzTrack’s tools to assist with their own research projects to help achieve positive conservation outcomes and/or improve species management.

Cassowary fitted with GPS-based telemetry device. Photo credits: Hamish Campbell


About ross dwyer

I am a Post-doctoral Research Fellow at the School of Biological Sciences, University of Queensland. My research focuses on both fundamental and applied aspects of ecology, including habitat use, foraging behaviour and human-wildlife conflict. My research investigates the drivers of animal movements, space use and community structure. This has included conducting population surveys (by land, boat and aircraft) or using biotelemetry (i.e. VHF radio, GPS and ARGOS satellite telemetry, light-based geolocators (GLS) and underwater acoustic transmitters) to gather data on species abundance, distribution and habitat use. These data are used in combination with environmental data to test hypotheses and make predictions in order to inform species management. I have worked closely with local government, NGOs and industry partners to ensure these survey data are used to achieve positive conservation outcomes and/or improve species management. I possess strong GIS skills and have 8 years of experience of coding in the R programming language. I have developed two open-source spatial analysis packages in R, and am one of the original developers of OzTrack.org, a web-based platform for the analysis and visualisation of animal tracking data.
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