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Patch Data Viewer: a tool for planning investment in vegetation extent and condition from patch to regional scales


Norton, T and Lacey, M, Patch Data Viewer: a tool for planning investment in vegetation extent and condition from patch to regional scales, Landscape Logic: Integrated Science for Landscape Management, CSIRO Publishing, E Lefroy, A Curtis, A Jakeman and J McKee (ed), Melbourne, pp. 173-188. ISBN 9780643103542 (2012) [Research Book Chapter]

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Copyright 2012 CSIRO

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The management of native vegetation is an important aspect of natural resource management (NRM) in Australia, and a focal area for Landscape Logic. Patch Data Viewer (PDV) is a GIS-based decision support tool that was designed as part of Landscape Logic to allow NRM groups and other natural resource managers to examine and map the distribution of vegetation communities and patches of native vegetation from the level of individual properties to landscapes and whole catchments. We developed the tool initially for Tasmania. It can be easily modified for use in any region of the world and by any organisation that has access to spatial information on native vegetation and wishes to use that knowledge in decision-making. The application grew out of a need to characterise the distribution of remnant native vegetation across landscapes and to provide desktop ways to search identifiable characteristics of individual remnant vegetation patches. The use of PDV allows the characteristics of individual vegetation patches to be examined at a property, landscape and regional level in ways that support management decisions. For example, the unique location, vegetation community composition, size, perimeter length and distance to the nearest neighbouring patch can be determined and of native vegetation can be tabulated and used to consider management options such as revegetation and habitat restoration. In addition to examining vegetation extent, PDV enables infor mation on the condition of native vegetation to be linked to each patch. Other Landscape Logic teams developed new remote-sensing technologies, spatial modelling techniques and fieldbased assessment protocols to enable the capture of vegetation condition data at a regional level. Incorporating associated data into PDV provides important additional information to support decision-making.

Item Details

Item Type:Research Book Chapter
Research Division:Environmental Sciences
Research Group:Environmental management
Research Field:Natural resource management
Objective Division:Law, Politics and Community Services
Objective Group:Work and labour market
Objective Field:Work and labour market not elsewhere classified
UTAS Author:Norton, T (Professor Tony Norton)
UTAS Author:Lacey, M (Dr Michael Lacey)
ID Code:67353
Year Published:2012
Deposited By:Agricultural Science
Deposited On:2011-03-02
Last Modified:2016-09-27
Downloads:2 View Download Statistics

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