ECOKNOWS
Effective use of ecosystem and biological knowledge in fisheries
| Coordinatore | HELSINGIN YLIOPISTO
Organization address
address: YLIOPISTONKATU 4 contact info |
| Nazionalità Coordinatore | Finland [FI] |
| Totale costo | 3˙793˙490 € |
| EC contributo | 2˙993˙607 € |
| Programma | FP7-KBBE
Specific Programme "Cooperation": Food, Agriculture and Biotechnology |
| Code Call | FP7-KBBE-2009-3 |
| Funding Scheme | CP-FP |
| Anno di inizio | 2010 |
| Periodo (anno-mese-giorno) | 2010-09-01 - 2014-08-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
HELSINGIN YLIOPISTO
Organization address
address: YLIOPISTONKATU 4 contact info |
FI (HELSINGIN YLIOPISTO) | coordinator | 1˙013˙726.00 |
| 2 |
RIISTA- JA KALATALOUDEN TUTKIMUSLAITOS
Organization address
address: Viikinkaari 4 contact info |
FI (HELSINKI) | participant | 451˙582.00 |
| 3 |
IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD contact info |
UK (LONDON) | participant | 301˙477.00 |
| 4 |
AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Organization address
address: CALLE SERRANO 117 contact info |
ES (MADRID) | participant | 225˙075.00 |
| 5 |
FISHBASE INFORMATION & RESEARCH GROUP INC
Organization address
address: IRRI G S KHUSH HALL COLLEGE contact info |
PH (LOS BANOS LAGUNA) | participant | 216˙184.00 |
| 6 |
ARISTOTELIO PANEPISTIMIO THESSALONIKIS
Organization address
address: Administration Building, University Campus contact info |
EL (THESSALONIKI) | participant | 153˙750.00 |
| 7 |
INSTITUTO ESPANOL DE OCEANOGRAFIA
Organization address
address: Avenida de Brasil 31 contact info |
ES (MADRID) | participant | 145˙812.00 |
| 8 |
SVERIGES LANTBRUKSUNIVERSITET
Organization address
address: ARRHENIUSPLAN 4 contact info |
SE (UPPSALA) | participant | 134˙047.94 |
| 9 |
MARINE INSTITUTE
Organization address
address: "Rinville, Oranmore" contact info |
IE (GALWAY) | participant | 119˙637.00 |
| 10 |
"INSTITUT SUPERIEUR DES SCIENCES AGRONOMIQUES, AGROALIMENTAIRES, HORTICOLES ET DU PAYSAGE"
Organization address
address: RUE DE SAINT BRIEUC 65 contact info |
FR (RENNES) | participant | 103˙863.00 |
| 11 |
INTERNATIONAL COUNCIL FOR THE EXPLORATION OF THE SEA
Organization address
address: H C ANDERSENS BOULEVARD 44-46 contact info |
DK (KOBENHAVN V) | participant | 91˙576.00 |
| 12 |
INSTITUT NATIONAL DE LA RECHERCHE AGRONOMIQUE
Organization address
address: Rue De L'Universite 147 contact info |
FR (PARIS CEDEX 07) | participant | 26˙016.00 |
| 13 |
FISKERIVERKET
Organization address
address: Ekelundsgatan, 1 contact info |
SE (GOETEBORG) | participant | 10˙861.07 |
| 14 |
FISHERIES AND OCEANS CANADA
Organization address
address: East White Hills Road 80 contact info |
CA (St John's NF) | participant | 0.00 |
Mappa
Word cloud
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Obiettivo del progetto (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.'
Introduzione (Teaser)
To correctly assess fish stocks, researchers are developing new methodologies and resources to create more accurate and realistic fisheries models.
Descrizione progetto (Article)
Biological modelling of food fish populations is extremely important for scientists to ensure the sustainable management of these resources. However, current models rely on inaccurate assumptions or incomplete data, resulting in flawed estimates of population size and strength.The EU-funded 'Effective use of ecosystem and biological knowledge in fisheries' (http://www.ecoknows.eu (ECOKNOWS)) project aims to use biological data to produce generic probabilistic models for assessing fish stocks.
The project will integrate with and use data from an earlier fish database project called http://www.fishbase.org (FISHBASE) .Research started with a review of current fisheries models, which concluded that scientists need to use a wider dataset than is currently used for stock assessment.
A new probability-based model was created using data from FISHBASE, which takes into account biological parameters such as population growth.
A model to study the effects of fishing on evolution in fish populations has been completed.ECOKNOWS methods and outcomes have been added to the FISHBASE database; the models are now publically available.
Researchers also built a tool to allow others to add data to FISHBASE, with built-in data quality control.The new models were applied to case studies on anchovies, salmon, hake and shrimp in various European bodies of water.
Further work will focus on improving estimation algorithms for stock assessment, and the communication of results to relevant parties.