Spatial analysis of Tasmanian Devil facial tumour disease

McGovern, Mark (2005) Spatial analysis of Tasmanian Devil facial tumour disease. [USQ Project]

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Abstract

The analytical capabilities of a Geographic Information System (GIS) are
increasingly being used to map the spread of disease and subsequent
disease control. This project uses the spatial analysis techniques of a GIS
to model habitat suitability of the Tasmanian devil and compare with
available data on a disease affecting the devil.
The Tasmanian devil (Sarcophilus harrisii) is the world's largest surviving
carnivorous marsupial, and is only found in Tasmania. Approximately 10
years ago the devils began showing signs of a fatal disease that has now
claimed between 33 - 50 percent of the native population. Devil Facial
Tumour Disease (referred to as DFTD) has been recorded in over 65
percent of the state but is feared to be present over a larger area.
Research conducted so far has failed to identify the cause of the disease
or provide a cure. There is evidence to suggest that the spread of DFTD is
dependent on devil population density (Jones M, pers comm).

Statistics for this ePrint Item

Item Type:	USQ Project
Refereed:	No
Item Status:	Live Archive
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013)
Date Deposited:	11 Oct 2007 00:23
Last Modified:	02 Jul 2013 22:32
Uncontrolled Keywords:	geographic information systems (GIS), Tasmanian Devil, Sarcophilus harrisii, devil facial tumour disease (DFTD), marsupial
Fields of Research (2008):	09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems 07 Agricultural and Veterinary Sciences > 0707 Veterinary Sciences > 070704 Veterinary Epidemiology
Fields of Research (2020):	40 ENGINEERING > 4013 Geomatic engineering > 401302 Geospatial information systems and geospatial data modelling 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3009 Veterinary sciences > 300905 Veterinary epidemiology
URI:	https://sear.unisq.edu.au/id/eprint/507

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