Welcome to fishlarvae.org!
These web pages present the research activity being conducted at the Norwegian Institute of Marine Research by Howard Browman, Anne Berit Skiftesvik and Caroline Durif and our team of Post-Doctoral Associates, Research Associates, Technical Assistants, students and Collaborators. We also provide general information on the early life stages of marine fish and shellfish, and links to other web pages that might be useful to those interested in such matters (under the Resources menu item).
Disclaimer: This is not an official site of the Norwegian Institute of Marine Research (IMR). The IMR’s official site is here.
BOOKS AND EDITED VOLUMES
HOWARD BROWMAN IS EDITOR-IN-CHIEF OF THE ICES JOURNAL OF MARINE SCIENCE
SPECIES THAT WE WORK ON
5 most recent publications
Parzanini, C, M.T. Arts, M. Power, M. Rohtla, A.B. Skiftesvik, J. Koprivnikar, H.I. Browman, D. Milotic, C.M.F. Durif. 2021. Trophic position of the European eel (Anguilla anguilla) across different salinity habitats inferred from fatty acid and stable isotope analysis. Canadian Journal of Fisheries and Aquatic Science.
Parzanini, C, M.T. Arts, M. Rohtla, J. Koprivnikar, M. Power, A.B. Skiftesvik, H.I. Browman, D. Milotic, C.M.F. Durif. 2021. Feeding habitat and silvering affect lipid content and fatty acid composition of European eel (Anguilla anguilla) tissues. Journal of Fish Biology. Provisionally accepted.
Parent, G., S. Plourde, H.I. Browman, J. Turgeon & A. Petrusek. 2021. Defining what constitutes a reliable dataset to test for hybridization and introgression in marine zooplankton: Comment on Choquet et al. 2020 ‘No evidence for hybridization between Calanus finmarchicus and C. glacialis in a subarctic area of sympatry’. Limnology & Oceanography.
Pernet, F. & H.I. Browman. 2021. The future is now: marine aquaculture in the Anthropocene. ICES Journal of Marine Science 78: 315-322. doi: 10.1093/icesjms/fsaa248.
Read the paper
Knausgård. K.M., Wiklund. A., Sørdalen T.K., Halvorsen K.T, Kleiven, A., Jiao, L. & M. Goodwin. 2021. Temperate fish detection and classification: a deep learning based approach. Applied Intelligence, doi: 10.1007/s10489-020-02154-9.
Read the paper