Processes of collating a European fisheries database to meet the objectives of the European Union Water Framework Directive
Identifieur interne : 000157 ( France/Analysis ); précédent : 000156; suivant : 000158Processes of collating a European fisheries database to meet the objectives of the European Union Water Framework Directive
Auteurs : U. Beier [Suède] ; E. Degerman [Autriche] ; A. Melcher [France] ; C. Rogers [Suède] ; H. WirlöfSource :
- Fisheries Management and Ecology [ 0969-997X ] ; 2007-12.
English descriptors
Abstract
Abstract FIsh Database of European Streams, a common database for the FAME project, was merged using existing data on electric fishing and environmental data. FIsh Database of European Stream is a relational database with eight tables. Metrics based on classification of fish species into guilds were calculated, and provided in separate tables. FIsh Database of European Stream contained information about 150 freshwater fish species, from 12 countries, 17 ecoregions, 40 main river regions, 2651 rivers and 8228 sites. Examples of data coverage and use are given. Relationships between environmental variables were illustrated using principal component analysis, which resulted in three environmental components – latitude, size and altitude. Environmental component scores were correlated with fish metrics used in the European Fish Index. Results exemplify how fish guilds reflect gradients in environmental variation. Benefits and problems concerning standardisation and data availability at the global level are discussed.
Url:
DOI: 10.1111/j.1365-2400.2007.00579.x
Affiliations:
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ISTEX:1959DD1DF476AE06D61829BBF28ED7B5DC945630Le document en format XML
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FIsh Database of European Stream is a relational database with eight tables. Metrics based on classification of fish species into guilds were calculated, and provided in separate tables. FIsh Database of European Stream contained information about 150 freshwater fish species, from 12 countries, 17 ecoregions, 40 main river regions, 2651 rivers and 8228 sites. Examples of data coverage and use are given. Relationships between environmental variables were illustrated using principal component analysis, which resulted in three environmental components – latitude, size and altitude. Environmental component scores were correlated with fish metrics used in the European Fish Index. Results exemplify how fish guilds reflect gradients in environmental variation. 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