ECOKNOWS

Effective use of ecosystem and biological knowledge in fisheries

 Coordinatore HELSINGIN YLIOPISTO 

 Organization address address: YLIOPISTONKATU 4
city: HELSINGIN YLIOPISTO
postcode: 14

contact info
Titolo: Mrs.
Nome: Kirsi-Maaria
Cognome: Hoviniemi
Email: send email
Telefono: +358 9 191 57444
Fax: +358 9 191 58873

 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

# participant  country  role  EC contrib. [€] 
1    HELSINGIN YLIOPISTO

 Organization address address: YLIOPISTONKATU 4
city: HELSINGIN YLIOPISTO
postcode: 14

contact info
Titolo: Mrs.
Nome: Kirsi-Maaria
Cognome: Hoviniemi
Email: send email
Telefono: +358 9 191 57444
Fax: +358 9 191 58873

FI (HELSINGIN YLIOPISTO) coordinator 1˙013˙726.00
2    RIISTA- JA KALATALOUDEN TUTKIMUSLAITOS

 Organization address address: Viikinkaari 4
city: HELSINKI
postcode: 790

contact info
Titolo: Dr.
Nome: Atso
Cognome: Romakkaniemi
Email: send email
Telefono: +358 2 05 751 416
Fax: +358 205 751 879

FI (HELSINKI) participant 451˙582.00
3    IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

 Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Ms.
Nome: Brooke
Cognome: Alasya
Email: send email
Telefono: +44 207 594 1181
Fax: +44 207 594 1418

UK (LONDON) participant 301˙477.00
4    AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS

 Organization address address: CALLE SERRANO 117
city: MADRID
postcode: 28006

contact info
Titolo: Mr.
Nome: Carlos Manuel
Cognome: Abad Ruiz
Email: send email
Telefono: +34 91 566 8852
Fax: +34 91 566 89 13

ES (MADRID) participant 225˙075.00
5    FISHBASE INFORMATION & RESEARCH GROUP INC

 Organization address address: IRRI G S KHUSH HALL COLLEGE
city: LOS BANOS LAGUNA
postcode: 4031

contact info
Titolo: Dr.
Nome: Mary Ann
Cognome: Bimbao
Email: send email
Telefono: 6325805659
Fax: 63495360202

PH (LOS BANOS LAGUNA) participant 216˙184.00
6    ARISTOTELIO PANEPISTIMIO THESSALONIKIS

 Organization address address: Administration Building, University Campus
city: THESSALONIKI
postcode: 54124

contact info
Titolo: Prof.
Nome: Konstantinos
Cognome: Stergiou
Email: send email
Telefono: +30 2310 998268
Fax: +30 2310 998279

EL (THESSALONIKI) participant 153˙750.00
7    INSTITUTO ESPANOL DE OCEANOGRAFIA

 Organization address address: Avenida de Brasil 31
city: MADRID
postcode: 28020

contact info
Titolo: Dr.
Nome: Eduardo
Cognome: Balguerias
Email: send email
Telefono: +34 91 342 1101
Fax: +34 91 555 1954

ES (MADRID) participant 145˙812.00
8    SVERIGES LANTBRUKSUNIVERSITET

 Organization address address: ARRHENIUSPLAN 4
city: UPPSALA
postcode: 75007

contact info
Titolo: Ms.
Nome: Ingrid
Cognome: Ragnarsdotter Jajke
Email: send email
Telefono: +46 18 67 1437

SE (UPPSALA) participant 134˙047.94
9    MARINE INSTITUTE

 Organization address address: "Rinville, Oranmore"
city: GALWAY
postcode: -

contact info
Titolo: Dr.
Nome: Niall
Cognome: O'maoileidigh
Email: send email
Telefono: +353 98 42300
Fax: +353 98 42340

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
city: RENNES
postcode: 35042

contact info
Titolo: Dr.
Nome: Etienne
Cognome: Rivot
Email: send email
Telefono: +33 2 23 48 59 34
Fax: +33 2 23 48 55 55

FR (RENNES) participant 103˙863.00
11    INTERNATIONAL COUNCIL FOR THE EXPLORATION OF THE SEA

 Organization address address: H C ANDERSENS BOULEVARD 44-46
city: KOBENHAVN V
postcode: 1553

contact info
Titolo: Dr.
Nome: Henrik
Cognome: Sparholt
Email: send email
Telefono: 4533154225
Fax: +45 3393 4215

DK (KOBENHAVN V) participant 91˙576.00
12    INSTITUT NATIONAL DE LA RECHERCHE AGRONOMIQUE

 Organization address address: Rue De L'Universite 147
city: PARIS CEDEX 07
postcode: 75338

contact info
Titolo: Dr.
Nome: Etienne
Cognome: Prévost
Email: send email
Telefono: 33559515983
Fax: 33559545111

FR (PARIS CEDEX 07) participant 26˙016.00
13    FISKERIVERKET

 Organization address address: Ekelundsgatan, 1
city: GOETEBORG
postcode: 40126

contact info
Titolo: Dr.
Nome: Anna
Cognome: Gårdmark
Email: send email
Telefono: +46 173 46466
Fax: +46 17346495

SE (GOETEBORG) participant 10˙861.07
14    FISHERIES AND OCEANS CANADA

 Organization address address: East White Hills Road 80
city: St John's NF
postcode: A1C5X8

contact info
Titolo: Mr.
Nome: Gerald
Cognome: Chaput
Email: send email
Telefono: +1 506 851 2022
Fax: +1 506 851 2147

CA (St John's NF) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

org    integrate    statistical    populations    collection    estimation    realistic    database    species    fishbase    ecosystem    fish    methodology    stocks    inference    countries    fisheries    ecoknows    model    http    scientists    models    data    stock    population    biological    probabilistic   

 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.

Altri progetti dello stesso programma (FP7-KBBE)

MYNEWGUT (2013)

Microbiome Influence on Energy balance and Brain Development-Function Put into Action to Tackle Diet-related Diseases and Behavior

Read More  

HDHL CSA (2011)

A Healthy Diet for a Healthy Life - Coordination Action

Read More  

TOYBOX (2010)

"Multifactorial evidence based approach using behavioural models in understanding and promoting fun, healthy food, play and policy for the prevention of obesity in early childhood: ToyBox"

Read More