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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, doi: 10.1007/s10661-007-9918-5.

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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.ORCID iD for Versace, V.
Ierodiaconou, D.ORCID iD for 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
Total pages 14
Publisher Springer Netherlands
Place of publication Amsterdam, Netherlands
Publication date 2008-07
ISSN 0167-6369
Keyword(s) dryland salinity
land use
native vegetation
regional analysis
Southwest Victoria
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
DOI 10.1007/s10661-007-9918-5
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.
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Document type: Journal Article
Collection: School of Life and Environmental Sciences
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