On the use of socioeconomic typologies for improved integrated management of data-poor regions: explorations from the Australian north

Larson, S., Stoeckl, N., and Blanco-Martin, B. (2013) On the use of socioeconomic typologies for improved integrated management of data-poor regions: explorations from the Australian north. Australasian Journal of Environmental Management, 20 (4). pp. 302-319.

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Abstract

Managers operating in data-poor environments are often required to use data from one region to draw inferences about another. The quality of decisions made using this 'typology' approach will depend, at least in part, upon the degree of similarity between the two regions. Using data from a variety of sources relating to several different domains in 55 separate catchments in northern Australia, this paper uses statistical clustering techniques to test if it is possible to identify socioeconomically 'similar' catchments. It finds that regions which are socioeconomically 'similar' are not always adjacent, and that assessment of 'similarity' depends upon the type of data used. Evidently, the typology approach offers itself as a useful framework for management, but still requires reliable baseline data with which to construct the typologies.

Item ID: 31655
Item Type: Article (Research - C1)
ISSN: 2159-5356
Keywords: cluster analyses, data gaps, integrated catchment management, social impact assessment, multidimensional scaling
Funders: Tropical Rivers and Coastal Knowledge (TRaCK), CSIRO Sustainable Ecosystems, James Cook University (JCU)
Date Deposited: 26 Feb 2014 09:48
FoR Codes: 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050209 Natural Resource Management @ 40%
16 STUDIES IN HUMAN SOCIETY > 1604 Human Geography > 160401 Economic Geography @ 30%
16 STUDIES IN HUMAN SOCIETY > 1604 Human Geography > 160403 Social and Cultural Geography @ 30%
SEO Codes: 96 ENVIRONMENT > 9609 Land and Water Management > 960910 Sparseland, Permanent Grassland and Arid Zone Land and Water Management @ 100%
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