ICES Annual Science Conference 2019

Theme session N

Advances in data-limited assessment methodologies for marine and diadromous stocks

​​​​​The majority of the world's marine and diadromous fish stocks lack adequate data for conventional stock assessment methods. Such stocks, known as “data-limited", can also occur in regions with long-term surveys (e.g., northeast Atlantic). Until recently, fisheries science has been unable to inform decision-makers on their status and potential, as the assessments of data-limited species and stocks still need sufficient data and to be based on robust calibration, statistical design, and data-handling. The number of stocks in need and the timetables of policy-makers around the world make it vital to improve methodologies. The global fisheries science community is innovating methodologies to take advantage of the available data to assess data-limited stocks. This session will provide an international forum where the latest advancements in data-limited method development and application are presented and discussed.​ ​​

While there is an impressive selection of data-limited assessment strategies, , it is imperative to develop innovative and practical approaches for identifying and assessing data-limited fisheries and species complexes to provide effective scientific advice to fisheries managers. Theme session N will highlight approaches that have the potential to be practical in their implementation and effective in their application.​​

The objectives of this session are to:

  • Discuss improvements in monitoring and data collection methods for data-limited species, including fish with complex life history and non-targeted species
  • Showcase advancements in single and multispecies data-limited assessment methods
  • Quantify uncertainties in stock assessment methods and identify key challenges to method development and application to provide effective advice

​Research, perspectives, and real-world experiences that relate to overcoming challenges in assessing and managing data-limited stocks are solicited, as well as submissions on the following topics:

  • Survey design and data collection methods for data-limited fisheries
  • New and innovative use of models to assess data-limited stocks or species complexes
  • Methods to determine and use life history traits to assess stock status
  • Stock identification techniques to identify cryptic species or determine composition of mixed stock catches
  • Use of meta-analysis or similar species to inform data-limited models
  • Development of data-limited stock harvest levels and adaptive management plans
  • Management strategy evaluation of data-limited approaches
  • Quantifying uncertainties in assessment practices with a special focus on communicating advice



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​Conveners:
Kristen Omori (USA)
Liese Carleton ​(USA)
Alan Walker (UK)
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Theme session N

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