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Effective use of ecosystem and biological knowledge in fisheries

Effective use of ecosystem and biological knowledge in fisheries

Objective

The general aim of the ECOKNOWS project is to improve the use of biological knowledge in fisheries science and management. The lack of appropriate calculus methods and fear of statistical overparameterisation has limited biological reality in fisheries models. This reduces biological credibility perceived by many stakeholders. We solve this technical estimation problem by using up-to date methodology supporting more effective use of data. The models suggested will include important knowledge about biological processes and the applied statistical inference methods allow to integrate and update this knowledge in stock assessment. We will use the basic biological data (such as growth, maturity, fecundity, maximum age and recruitment data sets) to estimate general probabilistic dependencies in fish stock assessments. In particular, we will seek to improve the use of large existing biological and environmental databases, published papers and survey data sets provided by EU data collection regulations and stored by ICES and EU member countries. Bayesian inference will form the methodological backbone of the project and will enable realistic estimations of uncertainty. We develop a computational learning approach that builds on the extensive information present in FishBase (www.fishbase.org).The developed methodology will be of fundamental importance, especially for the implementation of the Ecosystem Approach to Fisheries Management. It has been a difficult challenge even for target species with long data series, and now the same challenge is given for new and poorly studied species. We will improve ways to find generic and understandable biological reference points, such as the required number of spawning times per fish, which also supports the management needs in the developing countries. ECOKNOWS applies decision analysis and bioeconomic methods to evaluate the validity and utility of improved information, helping to plan efficient EU data collection.
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Coordinator

HELSINGIN YLIOPISTO

Address

Yliopistonkatu 3
00014 Helsingin Yliopisto

Finland

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 013 726

Administrative Contact

Kirsi-Maaria Hoviniemi (Mrs.)

Participants (13)

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RIISTA- JA KALATALOUDEN TUTKIMUSLAITOS

Finland

EU Contribution

€ 451 582

INTERNATIONAL COUNCIL FOR THE EXPLORATION OF THE SEA

Denmark

EU Contribution

€ 91 576

FISHBASE INFORMATION & RESEARCH GROUP INC

Philippines

EU Contribution

€ 216 184

ARISTOTELIO PANEPISTIMIO THESSALONIKIS

Greece

EU Contribution

€ 153 750

AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS

Spain

EU Contribution

€ 225 075

MARINE INSTITUTE

Ireland

EU Contribution

€ 119 637

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE

United Kingdom

EU Contribution

€ 301 477

FISHERIES AND OCEANS CANADA

Canada

the Swedish Board of Fisheries

Sweden

EU Contribution

€ 10 861,07

INSTITUT NATIONAL DE LA RECHERCHE AGRONOMIQUE

France

EU Contribution

€ 26 016

INSTITUT SUPERIEUR DES SCIENCES AGRONOMIQUES, AGROALIMENTAIRES, HORTICOLES ET DU PAYSAGE

France

EU Contribution

€ 103 863

INSTITUTO ESPANOL DE OCEANOGRAFIA

Spain

EU Contribution

€ 145 812

SVERIGES LANTBRUKSUNIVERSITET

Sweden

EU Contribution

€ 134 047,93

Project information

Grant agreement ID: 244706

Status

Closed project

  • Start date

    1 September 2010

  • End date

    31 August 2014

Funded under:

FP7-KBBE

  • Overall budget:

    € 3 793 490,80

  • EU contribution

    € 2 993 607

Coordinated by:

HELSINGIN YLIOPISTO

Finland