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AusRivAS Physical Assessment Protocol
DescriptionThis protocol is a standardised rapid method for the collection of geomorphological, physical habitat, riparian and basic water quality data. It can be used to assess the physical condition of rivers and streams and to predict the local scale habitat features that should be present at a site. It incorporates aspects of several existing physical assessment methods into a method that can be implemented to construct AusRivAS style predictive models. Physical, chemical and habitat information collected from reference sites is used to construct the predictive models, which are then used to assess the condition of test sites. Large scale catchment characteristics are used to predict local scale features.
Purpose Summary
Purposes
Outputs
Uses
Strengths
Limitations
Criteria BasisBased on Habitat Predictive Modelling with sampling design, data collection and analytical components from other stream assessment methods. Large scale catchment characteristics are used to predict local scale features.
Resources RequiredOffice based data, data from reference and test sites, trained protocol operator.
Time RequiredShort-medium term Field assessment is designed to be rapid.
Data RequiredCatchment and local scale physical, chemical and habitat variables measured using standardised methods for reference and test sites.
Recommended UsersTraining is required to use the protocol. The results would be useful to catchment managers, natural resource managers and government agencies.
Criteria / Indicators
Case Studies(not documented) ReferencesParsons, M., Thoms, M. and Norris, R. (2002). Australian River Assessment System: AusRivAS Physical Assessment Protocol, Monitoring River Heath Initiative Technical Report no 22. Commonwealth of Australia and University of Canberra, Canberra.
Parsons, M., Thoms, M.C. and Norris, R.H. (2004). Development of a standardised approach to river habitat assessment in Australia. Environmental Monitoring and Assessment 98: 109-130. LinksLast updated: 23 February 2007 |
