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Description

The project aimed to produce the tools necessary to determine the economically optimal level of exploitation of European ecosystems under changing climatic conditions while ensuring that the pressure exerted on both commercial stocks and susceptible fish species is biologically sustainable.
DEFINEIT produced the tools necessary to determine the optimal economic level of exploitation of North European marine fish resources, combining knowledge on species interactions, recruitment processes, vulnerable species and socio-economic aspects. Marine ecosystems consist of many species (including humans) affecting each other in complex ways and estimating the optimal exploitation level requires advanced mathematical models. These models estimate the response of the ecosystem to different levels of fishing. DEFINEIT constructed mathematical models of fish stock dynamics which explicitly took account of species interactions, vulnerable species and exploitation to allow estimation of the effect of different fishing management objectives on the marine ecosystem. These models were combined with economical models to predict the fishing effort require to reach the optimal yield and the effect of pursuing this yield on socioeconomic aspects. Geographically, the models covered a wide geographic area ranging from the Baltic Sea over the North Sea to the Barents Sea and Icelandic Seas.

Project information

Lead

DTU Aqua, Technical University of Denmark - Denmark

Partners


    CEFAS - Centre for Environment, Fisheries & Aquaculture Science, UK
    FOI - The Institute of Food and Resource Economics, Denmark
    HCMR - Hellenic Centre for Marine Research
    IC - Imperial College London
    IMARES - Wageningen UR, The Netherlands
    IME - Department of Environmental and Business Economics, Denmark
    IMR - Institute of Marine Research, Norway
    MRI - Marine Research Institute, Iceland
    USTAN - The University of St Andrews, Scotland

Source of funding

Marifish ERA-NET project

Reference information

Websites:

Published in Climate-ADAPT: Jun 7, 2016

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This translation is generated by eTranslation, a machine translation tool provided by the European Commission.