Title: Comparison of the European Fish Index with the Standardised European Model, the Spatially Based Models (eco-regional and European), and Existing Methods. 
Resource Type: document --> technical publication --> report 
Country: EU Projects 
Year: 2004 
Availability: Quataert, P., Breine, J. and Simoens, I. (2004) Comparison of the European Fish Index with the Standardised European Model, the Spatially Based Models (eco-regional and European), and Existing Methods. Institute for Forestry and Game Management, Groenendaal-Hoeilaart, Belgium. First author: Paul Quataert Other authors: Jan Breine and Ilse Simoens Year: 2004 Title: Comparison of the European Fish Index with the Standardised European Model, the Spatially Based Models (eco-regional and European), and Existing Methods. Source details: A Contribution to the Water Framework Directive by the Fame Consortium: http://www.boku.ac.at/fame/downloads/D16_17_MethodComparison.pdf Publisher name: Fame Consortium Publisher details: Belgium 
Author 1/Producer: Fame Consortium 
Author / Producer Type: EC Project 
Report / download web link (=direct link): http://www.boku.ac.at/fame/downloads/D16_17_MethodComparison ...  
Format (e.g. PDF): PDF 
EUGRIS Keyword(s): Groundwater protection-->Groundwater processes-->Ecotoxicology
 
Long description: When developing a decision tool as a fish index it is crucial to document its performance in relation to its goals. An important requirement of the WFD is that the newly developed European Fish Index (EFI) can distinguish between a (nearly) pristine and disturbed status. Also the position of EFI with respect to existing national or regional fish indexes should be clear as some of them offer a long time series. Finally, comparison of the EFI with respect to other possible approaches gives insight in its relative merits and shortcomings. To realize this evaluation, the central idea of this chapter is to think the fish index as a laboratory test to detect whether or not a site is disturbed. This analogy allows expressing the performance in terms of the detection capacity (sensitivity and specificity, impacted and nonimpacted predictive value) and consistency. The cumulative distribution function of the new metric conditional on other indices turned out to be a powerful graphical tool to detect anomalies and to gain insight on a more profound level. These cumulative curves can be estimated easily from the data by the empirical distribution function. 
Link to Project(s): FAME Development, Evaluation and Implementation of a Standarized Fish-based Assessment Method for the Ecological Status of European Rivers A Contribution to the Water Framework Directive
 
Submitted By: Dr Stefan Gödeke WhoDoesWhat?      Last update: 20/07/2009