Regional-scale models for relating land cover to basin surface-water quality using remotely sensed data in a GIS

Versace, V., Ierodiaconou, D., Stagnitti, F., Hamilton, A., Walter, M., Mitchell, B. and Boland, A. 2008, Regional-scale models for relating land cover to basin surface-water quality using remotely sensed data in a GIS, Environmental monitoring and assessment, vol. 142, no. 1-3, pp. 171-184.

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Title Regional-scale models for relating land cover to basin surface-water quality using remotely sensed data in a GIS
Author(s) Versace, V.
Ierodiaconou, D.
Stagnitti, F.
Hamilton, A.
Walter, M.
Mitchell, B.
Boland, A.
Journal name Environmental monitoring and assessment
Volume number 142
Issue number 1-3
Start page 171
End page 184
Publisher Springer Netherlands
Place of publication Amsterdam, Netherlands
Publication date 2008-07
ISSN 0167-6369
1573-2959
Keyword(s) dryland salinity
land use
native vegetation
regional analysis
Southwest Victoria
Australia
Summary Plant-based management systems implementing deep-rooted, perennial vegetation have been identified as important in mitigating the spread of secondary dryland salinity due to its capacity to influence water table depth. The Glenelg Hopkins catchment is a highly modified watershed in the southwest region of Victoria, where dryland salinity management has been identified as a priority. Empirical relationships between the proportion of native vegetation and in-stream salinity were examined in the Glenelg Hopkins catchment using a linear regression approach. Whilst investigations of these relationships are not unique, this is the first comprehensive attempt to establish a link between land use and in-stream salinity in the study area. The results indicate that higher percentage land cover with native vegetation was negatively correlated with elevated in-stream salinity. This inverse correlation was consistent across the 3 years examined (1980, 1995, and 2002). Recognising the potential for erroneously inferring causal relationships, the methodology outlined here was both a time and cost-effective tool to inform management strategies at a regional scale, particularly in areas where processes may be operating at scales not easily addressed with on-site studies.
Language eng
Field of Research 050209 Natural Resource Management
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2007, Springer Science + Business Media B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30017156

Document type: Journal Article
Collection: School of Life and Environmental Sciences
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