Document Detail

Developing an optimal river typology for biological elements within the Water Framework Directive.
MedLine Citation:
PMID:  16105675     Owner:  NLM     Status:  MEDLINE    
The Water Framework Directive requires a river classification based on environmental variables (a typology) to be created as a structure for reporting ecological status. A single permutation procedure, utilising the same variables repeatedly but with different categorical divisions, enabled both the choice of variables and the boundary divisions for these variables to be optimised simultaneously in the development of the typology. This, in addition to a data set which appropriately combined different biological elements, enabled a typology to be developed which was far more effective than a System A, CCA-derived or expert opinion-based typology in segregating communities. This optimal typology could be used to improve the performance of ecological quality assessment methods.
Ian Dodkins; Brian Rippey; Thomas J Harrington; Catherine Bradley; Bernadette Ni Chathain; Mary Kelly-Quinn; Martin McGarrigle; Stephanie Hodge; David Trigg
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Water research     Volume:  39     ISSN:  0043-1354     ISO Abbreviation:  Water Res.     Publication Date:  2005 Sep 
Date Detail:
Created Date:  2005-09-06     Completed Date:  2006-01-27     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0105072     Medline TA:  Water Res     Country:  England    
Other Details:
Languages:  eng     Pagination:  3479-86     Citation Subset:  IM    
School of Environmental Sciences, University of Ulster, Coleraine, BT52 1SA, Northern Ireland.
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MeSH Terms
Conservation of Natural Resources / legislation & jurisprudence
Environmental Monitoring / methods*
Models, Theoretical*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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