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Operational Evaluation Tools for Fisheries Management Options
www.efimas.org

Acronym: EFIMAS
Period: April 2004 till March 2008
Status: Completed

Thesaurus terms Biodiversity; Fish stocks; Fisheries
Geographical terms: A, Atlantic [Marine Regions]; ANE, North Sea [Marine Regions]
 Institutes 

Institutes (17)  Top 
  • Technical University of Denmark; Danish Institute for Fisheries Research (DIFRES), more, co-ordinator
  • Centre for Environment, Fisheries and Aquaculture Science (CEFAS), more, partner
  • Netherlands Institute for Fisheries Research (RIVO), more, partner
  • Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), more, partner
  • Finnish Game and Fisheries Research Institute (FGFRI), more, partner
  • Instituut voor Landbouw-, Visserij- en Voedingsonderzoek (ILVO), more, partner
  • The National Institute of Biological Resources; Instituto de Investigação das Pescas e do Mar (IPIMAR), more, partner
  • Hellenic Centre for Marine Research (HCMR), more, partner
  • Marine Institute Ireland (MI), more, partner
  • Sea Fisheries Institute in Gdynia, more, partner
  • Innovative Fisheries Management (IFM), more, partner
  • University of Copenhagen; Institute of Food and Resource Economics, more, partner
  • Imperial College London, more, partner
  • Spanish Council for Scientific Research (CSIC), more, partner
  • Universidad Pablo de Olavide de Sevilla; Department of Economics and Business, more, partner
  • University of Newcastle upon Tyne, more, partner
  • University of the Basque country, more

Abstract
The objective of the EFIMAS project is to develop an operational management evaluation framework that allows evaluation of the trade-off between different management objectives when choosing between different management options. The evaluation framework will be developed to inform an exploratory, adaptive decision- making process. Evaluation tools will be developed to appraise the biological, social and economic effects of fisheries management measures in the EU, and these will be applied to important fisheries, including Baltic cod and Baltic salmon. The overall approach will use stochastic simulation techniques. The tools will take account of the dynamics in the fisheries systems, as well as of uncertainties and will include risk assessments.

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