External Organisations

  • Cefas, United Kingdom
  • Institute of Marine Research, Norway
  • Hellenic Centre for Marine Research, Greece
  • Marine Research Institute, Iceland
  • University of Copenhagen, Denmark
  • University of St Andrews, United Kingdom
  • University of Southern Denmark, Denmark
  • Wageningen IMARES, Netherlands
  • Imperial College of Science, Technology and Medicine, United Kingdom

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DEFINEIT will construct operational models of fish stock dynamics explicitly taking into account exploitation and climatic conditions and combine these models with economic models. To ensure an outstanding scientific level in each of these areas, the project brings together key competences in operational multispecies modelling, stock recruitment relationships, population dynamics of non-target fish species and economic modelling of fisheries from a wide geographic area ranging from the Barents Sea to the Mediterranean. The project will use multispecies models to investigate changes in predation induced by differences in the distribution and amount of alternative food. Effects of technical interactions in the fishing process will be considered to avoid delivering management advice for different stocks which is mutually inconsistent. Integrating the knowledge gained, the project will identify relevant multispecies indicators and suggest methods for estimating reference points. The project will identify the main causes of variation in recruitment patterns between stocks as well as the key processes from spawning to recruitment of selected stocks. The consequences of using proxies to describe stock reproductive potential will be determined and survival during early life stages will be investigated in order to identify the role of the physical and biological environment. The improved understanding of recruitment variability will be used in both individual stock assessment and included in multispecies models to provide reliable predictions. The maximum level of fishing effort consistent with sustainment of susceptible species will be estimated along with the effect of discard of bycatch on economic yield. The project will develop resource indicators that combine economic, social and biological indicators and relate directly to the benefit for the society. Further, a stochastic approach to economic indicators will be investigated since variance and uncertainty are critical issues in relation to the economic performance of natural resource systems. Future stock dynamics limits to sustainable ecosystem exploitation and the fishing levels delivering maximum sustainable economic yield under selected climatic scenarios will be analyzed in unison to ensure the delivery of mutually consistent management advice. General properties of the ecosystems will be used to suggest rules of thumb for management in areas where the amount of data available is insufficient to construct similar models.

The project is coordinated by DTU Aqua.


  • Research area: Marine Living Resources
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ID: 2290596