• A logistic function to track time-dependent fish population dynamics 

      Jokar, Mahmood; Subbey, Samuel; Gjøsæter, Harald (Peer reviewed; Journal article, 2021)
    • Adaptive management of living marine resources by integrating different data sources and key ecological processes (ADMAR): A joint effort by IMR and CEES 

      Handegard, Nils Olav; Stenseth, Nils Christian; Dankel, Dorothy Jane; Durant, Joël M.; Eikeset, Anne Maria; Enberg, Katja; Hjermann, Dag Ø.; Huse, Geir; Pennington, Michael; Skern-Mauritzen, Mette; Stige, Leif Christian; Subbey, Samuel; Vølstad, Jon Helge (ICES CM documents;2010/R:26 Poster;, Working paper, 2010-09)
    • Arctic Fisheries Working Group (AFWG; outputs from 2022 meeting) 

      Howell, Daniel; Godiksen, Jane Aanestad; Tranang, Caroline Aas; Berg, Erik; Bernreuther, Matthias; Bogstad, Bjarte; Breivik, Olav Nikolai; Casas, Jose Miguel; Clain, Laura; Eidset, Elise; Eriksen, Elena; Fall, Johanna Jennifer Elisabeth; Fossheim, Maria; Gjøsæter, Harald; Gundersen, Sofie; Hallfredsson, Elvar Halldor; Höffle, Hannes; Johannessen, Edda; Nedreaas, Kjell Harald; Nielsen, Anders; Skaret, Georg; Staby, Arved; Stock, Brian; Subbey, Samuel; Tallman, Ross; Trochta, John Tyler; Vollen, Tone; Windsland, Kristin (Journal article, 2023)
    • Caveats with estimating natural mortality rates in stock assessment models using age aggregated catch data and abundance indices 

      Aldrin, Magne Tommy; Aanes, Fredrik L; Tvete, Ingunn Fride; Aanes, Sondre; Subbey, Samuel (Peer reviewed; Journal article, 2021)
      We consider the challenge in estimating the natural mortality, M, in a standard statistical fish stock assessment model based on time series of catch- and abundance-at-age data. Though anecdotal evidence and empirical ...
    • Final report for the REDUS project - Reduced Uncertainty in Stock Assessment 

      Olsen, Erik Joel Steinar; Aanes, Sondre; Aldrin, Magne Tommy; Breivik, Olav Nikolai; Fuglebakk, Edvin; Goto, Daisuke; Handegard, Nils Olav; Hansen, Cecilie; Holmin, Arne Johannes; Howell, Daniel; Johnsen, Espen; Jourdain, Natoya; Korsbrekke, Knut; Ono, Kotaro; Otterå, Håkon Magne; Perryman, Holly Ann; Subbey, Samuel; Søvik, Guldborg; Umar, Ibrahim; Vatnehol, Sindre; Vølstad, Jon Helge (Rapport fra havforskningen;2021 - 16, Research report, 2021)
      The REDUS project (2016-2020) has been a strategic project at the Institute of Marine Research (IMR) aimed at quantifying and reducing the uncertainty in data-rich and age-structured stock assessments (e.g., cod, herring, ...
    • Maturation in the Barents Sea capelin – Contrasting length- and gonad-based metrics 

      Jourdain, Natoya; Fuglebakk, Edvin; Subbey, Samuel (Peer reviewed; Journal article, 2021)
      It is assumed that maturation in the Barents Sea capelin is length-dependent, and that fish of at least 14 cm will potentially spawn. Current assessment and management models for the stock are based on this assumption of ...
    • Non-deterministic modelling of food-web dynamics 

      Planque, Benjamin; Lindstrøm, Ulf; Subbey, Samuel (Journal article; Peer reviewed, 2014-10-09)
      A novel approach to model food-web dynamics, based on a combination of chance (randomness) and necessity (system constraints), was presented by Mullon et al. in 2009. Based on simulations for the Benguela ecosystem, they ...
    • Probability-based surveying using self-sampling to estimate catch and effort in Norway’s coastal tourist fishery 

      Vølstad, Jon Helge; Korsbrekke, Knut; Nilsen, Merete; Nilsson, Gro N.; Pennington, Michael; Subbey, Samuel; Wienerroither, Rupert (Journal article; Peer reviewed, 2011-06-08)
      Recreational fishing as a tourist activity has become an increasingly important part of the Norwegian travel industry and may contribute significantly to the fishing mortality on Norwegian coastal cod (Gadus morhua). ...
    • The specification of the data model part in the SAM model matters 

      Aldrin, Magne Tommy; Tvete, Ingunn Fride; Aanes, Sondre; Subbey, Samuel (Peer reviewed; Journal article, 2020)
      This paper considers a general state-space stock assessment modeling framework that integrates a population model for a fish stock and a data model. This way observed data are linked to unobserved quantities in the population ...