Ecological risk assessment case study for the Lower Loddon Catchment [electronic resource] : Bayesia...
Ecological risk assessment case study for the Lower Loddon Catchment [electronic resource] : Bayesian decision network model for predicting macroinvertebrate community diversity in the Lower Loddon River /cAnne-Maree Westbury ... [et al.].
About this item
Full title
Publisher
[Canberra] : Land and Water Australia, 2006.
Alternative title
At the head of the title: Report no. 3 NPSI Project UMO45, Delivering Sustainability through Risk Management.
Date
2006.
Record Identifier
MMS ID
Language
English
Formats
Publication information
Publisher
[Canberra] : Land and Water Australia, 2006.
Place of Publication
Victoria
Date Published
2006.
Subjects
More information
Scope and Contents
Summary
This report is the third in a series of five produced by NPSI project UMO45 Delivering Sustainability through Risk Management. This study was focused on the assessment of the health of the Lower Loddon River. The aim of the risk assessment is to provide local resource managers with a better understanding of risks to the Lower Loddon River and the e...
Alternative Titles
Full title
Ecological risk assessment case study for the Lower Loddon Catchment [electronic resource] : Bayesian decision network model for predicting macroinvertebrate community diversity in the Lower Loddon River /cAnne-Maree Westbury ... [et al.].
Authors, Artists and Contributors
Notes
General note
Title from title screen (viewed on 9 December 2009)
Anne-Maree Westbury, Clare Putt and David Tiller from Freshwater Sciences, EPA Victoria. Terry Chan and Barry T. Hart from Water Studies Centre, Monash University.
Includes bibliographical references....
System details note
Mode of access: Internet via World Wide Web. Available at: http://lwa.gov.au/
Contextual Information
Other version (online)
Identifiers
Primary Identifiers
Record Identifier
74VvN5zolBZg
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/74VvN5zolBZg
Other Identifiers
DDC
333.72099454
MMS ID
991013093909702626
