External Organisations

  • Danish Fishermen's Association, Denmark

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The purpose of this project was formulated in 2008 to establish knowledge on the geographical distribution of target species in Skagerrak, which enables the fishermen to plan and execute sustainable fisheries on these species with a minimum of discard and unwanted by-catch of cod, and without drastically reductions or unjustified closure of areas.

OSKAR is a collaborative fishermen-scientist project building on the REX-experience (project 38430 etc.) conducting small-scale scientific surveys with commercial ships. To separate control issues of the mixed fishery of Skagerrak from the issues of using fishermens and scientists’ combined knowledge and experience to produce more selective fisheries, some of the key questions addressed are:
- Is it feasible to predict the size distribution of cod on a small spatial scale (single trawl haul) from surveys?
- How important are the seasonal changes for the spatial distribution of cod in Skagerrak?
- Can fishermen’s anecdotic knowledge on the distribution of cod be used?
- Which role does mechanistic process knowledge play in determining critical spatial dynamics of cod?
- Taking also gear technology into account then how can we best produce e.g. a useful cod avoidance tool?

A new advanced geostatistical tool (GeoPop - also to be used in the projects RESOURCE and EcoFish) is introduced in order to use all available scientific data (e.g. OSKAR survey data together with IBTS-data) in the maximum likelihood estimation of temporal and spatial dynamics of the size distribution of the stock. Real time closures, future disallowance of discards etc. put the perspective of OSKAR into focus. The project will end with addressing the question of how to design an operational Fishery-Forecast system.

In 2012 we expect to get a new collaborative project on implementing such a forecast system. Real-time commercial haul-specific data on CPUE, temperature (and possible other parameters measured directly on the gear) etc. are transferred to a data-warehouse and combined with mechanistic knowledge (recruitment, growth, spawning, migrations) to produce the forecast using testable GeoPop tools.

The project is coordinated by DTU Aqua.


  • Research area: Marine Populations and Ecosystem Dynamics
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ID: 2287065