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CATEFA
Combining acoustic and trawl data for estimating fish abundance.

The primary aim of CATEFA (Combining Acoustic and Trawl Data for Estimating Fish Abundance) is to develop and apply appropriate methodologies for the use of both acoustic and trawl data from bottom trawl surveys. The project involves a number of participants from the UK, France, and Norway.
The integration of acoustic methods with trawl surveys will allow more accurate distribution maps to be developed than is possible with the trawl data alone. This will greatly improve assessments of the distribution and geographical limits of the fish stocks. The results will provide invaluable information to fisheries managers, at little extra cost.

Objectives
Specifically, the project has four main objectives; to determine the relationships between acoustic and trawl data, to develop mathematical models to calculate combined stock abundance indices, to test the performance of these indices within the stock assessment process, and to provide advice on improved survey designs which allow optimum collection of both types of data.

Results
Common quality-controlled datsets will be built. Relationships between acoustic and trawl data will allow the selection of a combination of data from which we wish to compute a combined index of abundance.

Classified in FISHERIES AND AQUACULTURE

Scientist responsible for the project

Mr PHILIPPE LE BOZEC
Rue Saint-Honoré, 35
77305 FONTAINEBLEAU
Austria - AT

Phone: 33140519050
Fax: 33140510094
E-mail: dae-montage@armines.ensmp.fr

References

Project ID QLRT-2000-02038
Organisation ASSOCIATION POOUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS (ARMINES)
Area 5.1.2
Start date 01 November 2001
Duration (months) 36
Total cost 2 514 280 €
Total EC contribution   1 339 749 €
Status Completed
Web address of the project   http://www.cefas.co.uk/fishbehaviour/cafeta.htm

The partners

  • THE SCOTTISH MINISTERS ACTING TROUGH FISHERIES RESEARCH SERVICES MARINE LABORATORY, United Kingdom (The) - GB
    daviesjm@marlab.ac.uk
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