Errors and uncertainty in bioassessment methods - major results and conclusions from the STAR project and their application using STARBUGS
Clarke, Ralph T.; Hering, D.. 2006 Errors and uncertainty in bioassessment methods - major results and conclusions from the STAR project and their application using STARBUGS. Hydrobiologia, 566. 433-439. 10.1007/s10750-006-0079-2
Full text not available from this repository.Abstract/Summary
The STAR project’s extensive replicated sampling programmes have provided the first ever quantitative comparative studies of the susceptibility of a wide range of national macroinvertebrate sampling methods and taxonomic metrics to uncertainty resulting from the effects of field sampling variability and subsequent sub-sampling and laboratory (or bank-side) procedures and protocols. We summarise six STAR project papers examining various aspects of the potential sources of uncertainty in the observed fauna and observed metric values. The use of new simulation software STARBUGS (STAR Bioassessment Uncertainty Software System) to incorporate the effects of these potential errors into quantitative assessments of the uncertainty in assigning water bodies to WFD ecological status classes is discussed
Item Type: | Publication - Article |
---|---|
Digital Object Identifier (DOI): | 10.1007/s10750-006-0079-2 |
Programmes: | CEH Programmes pre-2009 publications > Water |
UKCEH and CEH Sections/Science Areas: | _ River Ecology |
ISSN: | 0018-8158 |
Additional Information. Not used in RCUK Gateway to Research.: | The original publication is available at www.springerlink.com |
Additional Keywords: | replicate, sampling variation, sub-sampling, macroinvertebrates, multi-metric, uncertainty, STARBUGS, simulations, software, audit, quality assurance, sample coherence |
NORA Subject Terms: | Ecology and Environment Data and Information Mathematics |
Date made live: | 02 Jul 2007 10:40 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/278 |
Actions (login required)
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year