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Institute of

SF Sea Fisheries

M.Sc. Bernhard Kühn

Institute of Sea Fisheries

Herwigstraße 31
27572 Bremerhaven
Telephone
+49 471 94460 254
Fax
+49 471 94460 199
Email
bernhard.kuehn@thuenen.de

Research Interests

  • Population dynamics
  • Statistical modelling of fish stocks
  • Machine learning in fisheries science

Responsibilities

  • Pre-processing and modelling of spatio-temporal environmental data sets of the North Atlantic and North Sea.
  • Statistical modelling of stock-recruitment dynamics for commercially important fish stocks in the North Sea using environmental parameters.
  • Bio-economic modelling with FLBEIA.

Projects

Involved in

ongoing projects

    completed projects

    Working Groups and Committees

    Working Group - CommitteeTasks
    ICES
    Working group on machine learning in marine science (WGMLEARN)The working group on machine learning in marine science (WGMLEARN) is involved in identifying the current status and potential ways of incorporating machine learning methods in the marine sciences. The goal is to summarize relevant information, identify challenges and needs (methodology and data) and promote the adoption of relevant ML-techniques in the marine science domain.

    Publications

    • Schäfer R.B, Kühn B., Hauer L., Kattwinkel M., (2017): Assessing recovery of stream insects ¨ from pesticides using a two-patch metapopulation model. Science of The Total Environment, 609: 788-798.
    • Schäfer, R. B., Kühn, B., Malaj, E., König, A., & Gergs, R. (2016): Contribution of organic toxicants to multiple stress in river ecosystems. Freshwater biology, 61(12), 2116-2128.
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