Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 359547
Title Fish assemblage in European Western Highlands and Western Plains: a type-specific approach to assess ecological quality of running waters
Author(s) Grenouillet, G.; Roset, N.; Goffaux, D.; Breine, J.; Leeuw, J.J. de
Source Fisheries Management and Ecology 14 (2007)6. - ISSN 0969-997X - p. 509 - 517.
DOI https://doi.org/10.1111/j.1365-2400.2007.00586.x
Department(s) Wageningen Marine Research
Publication type Refereed Article in a scientific journal
Publication year 2007
Keyword(s) biotic integrity - new-zealand - rivers - index - france - fauna
Abstract After typological pre-classification of 398 calibration sites, fish-based metric models were used to predict the impact of human activities on river quality in European Western Highlands and Western Plains ecoregions. Calibration sites were grouped into six assemblage types and according to their geomorphology; test sites were assigned to their corresponding assemblage type. Five anthropogenic variables were used to describe the impact level of each site and stepwise discriminant analysis was performed to: (i) avoid redundancy between metrics; (ii) examine how selected metrics discriminated impact classes and (iii) predict ecological status for each site of the given fish type. Globally, this approach predicted the impact class correctly for 64% of sites. The difference between observed and predicted impact was more than one class for only 2.5% of the sites. When validating this approach with an independent data set, differences between observed and predicted impact values never exceeded 2 impact classes, but these differences varied in size among countries.
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