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University of Bergen
Geir Huse's picture

Geir Huse

Department of Biological Sciences (BIO)
  • E-mailGeir.Huse@uib.no
  • Visitor Address
    Thormøhlens gate 53 A/B
    5006 Bergen
  • Postal Address
    Postboks 7803
    5020 Bergen
Academic article
  • Show author(s) (2023). Latitudinally distinct stocks of Atlantic cod face fundamentally different biophysical challenges under on-going climate change. Fish and Fisheries. 1-24.
  • Show author(s) (2021). Highly mixed impacts of near-future climate change on stock productivity proxies in the North East Atlantic. Fish and Fisheries. 601-615.
  • Show author(s) (2021). Commitments to sustainable fisheries: Empty words or reality? Marine Policy. 1-8.
  • Show author(s) (2020). Structure and functioning of four North Atlantic ecosystems - A comparative study. Deep-Sea Research Part II: Topical Studies in Oceanography. 1-13.
  • Show author(s) (2020). Fine-scale observations of physical and biological environment along a herring feeding migration route. Deep-Sea Research Part II: Topical Studies in Oceanography. 19 pages.
  • Show author(s) (2020). Evaluating acoustic-trawl survey strategies using an end-to-end ecosystem model. ICES Journal of Marine Science. 10 pages.
  • Show author(s) (2020). Evaluating acoustic-trawl survey strategies using an end to end ecosystem model. ICES Journal of Marine Science.
  • Show author(s) (2020). Changing how we approach fisheries: A first attempt at an operational framework for ecosystem approaches to fisheries management. Fish and Fisheries. 393-434.
  • Show author(s) (2018). Opportunities for advancing ecosystem-based management in a rapidly changing, high latitude ecosystem. ICES Journal of Marine Science. 2425-2433.
  • Show author(s) (2018). Modeling emergent life histories of copepods. Frontiers in Ecology and Evolution. 14 pages.
  • Show author(s) (2018). Bioenergetics modeling of the annual consumption of zooplankton by pelagic fish feeding in the Northeast Atlantic. PLOS ONE.
  • Show author(s) (2017). Can collective memories shape fish distributions? A test, linking space-time occurrence models and population demographics. Ecography. 19 pages.
  • Show author(s) (2016). Feeding strategy of mackerel in the Norwegian Sea relative to currents, temperature, and prey. ICES Journal of Marine Science. 1127-1137.
  • Show author(s) (2015). Spatially explicit estimates of stock sizes, structure and biomass of herring and blue whiting, and catch data of bluefin tuna. Earth System Science Data. 35-46.
  • Show author(s) (2015). Ecosystem processes are rarely included in tactical fisheries management. Fish and Fisheries. 165-175.
  • Show author(s) (2014). Pelagic fish species assemblages in the southern Benguela. African Journal of Marine Science. 69-84.
  • Show author(s) (2014). Marine ecosystem acoustics (MEA): Quantifying processes in the sea at the spatio-temporal scales on which they occur. ICES Journal of Marine Science. 2357-2369.
  • Show author(s) (2014). Comparative ecology of widely distributed pelagic fish species in the North Atlantic: Implications for modelling climate and fisheries impacts. Progress in Oceanography. 219-243.
  • Show author(s) (2014). Challenges in integrative approaches to modelling the marine ecosystems of the North Atlantic: Physics to fish and coasts to ocean. Progress in Oceanography. 285-313.
  • Show author(s) (2013). Towards an acoustic-based coupled observation and modelling system for monitoring and predicting ecosystem dynamics of the open ocean. Fish and Fisheries. 605-615.
  • Show author(s) (2012). Vertical distribution of herring and blue whiting in the Norwegian Sea. Marine Biology Research. 488-501.
  • Show author(s) (2012). Using RAFOS floats to simulate overwinter transport of Calanus finmarchicus in the Norwegian Sea. Marine Biology Research. 502-507.
  • Show author(s) (2012). Modelling secondary production in the Norwegian Sea with a fully coupled physical/primary production/individual-based Calanus finmarchicus model system. Marine Biology Research. 508-526.
  • Show author(s) (2012). Horizontal distribution and overlap of planktivorous fish stocks in the Norwegian Sea during summers 1995-2006. Marine Biology Research. 420-441.
  • Show author(s) (2012). Estimating the horizontal and temporal overlap of pelagic fish distribution in the Norwegian Sea using individual-based modelling. Marine Biology Research. 548-567.
  • Show author(s) (2012). Estimating the consumption of Calanus finmarchicus by planktivorous fish in the Norwegian Sea using a fully coupled 3D model system. Marine Biology Research. 527-547.
  • Show author(s) (2012). Effects of interactions between fish populations on ecosystem dynamics in the Norwegian Sea–results of the INFERNO project. Marine Biology Research.
  • Show author(s) (2011). Real-Time Ichthyoplankton Drift in Northeast Arctic Cod and Norwegian Spring-Spawning Herring. PLOS ONE.
  • Show author(s) (2010). Thermal niche of Atlantic cod Gadus morhua: limits, tolerance and optima. Marine Ecology Progress Series. 1-U344.
  • Show author(s) (2010). The importance of predator-prey overlap: predicting North Sea cod recovery with a multispecies assessment model. ICES Journal of Marine Science. 1989-1997.
  • Show author(s) (2010). Stock collapses and their recovery: mechanisms that establish and maintain life-cycle closure in space and time. ICES Journal of Marine Science. 1841-1848.
  • Show author(s) (2010). Major pathways by which climate may force marine fish populations. Journal of Marine Systems. 343-360.
  • Show author(s) (2010). Establishment of new wintering areas in herring co-occurs with peaks in the 'first time/repeat spawner' ratio. Marine Ecology Progress Series. 189-198.
  • Show author(s) (2010). End-To-End Models for the Analysis of Marine Ecosystems: Challenges, Issues, and Next Steps. Marine and Coastal Fisheries. 115-130.
  • Show author(s) (2009). Shelf recruitment of Calanus finmarchicus off the west coast of Norway: role of physical processes and timing of diapause termination. Marine Ecology Progress Series. 163-180.
  • Show author(s) (2009). Modeling growth of larval cod (Gadus morhua) in large-scale seasonal and latitudinal environmental gradients. Deep-Sea Research Part II: Topical Studies in Oceanography. 2001-2011.
  • Show author(s) (2008). Potential impact of climate change on ecosystems of the Barents Sea Region. Climatic Change. 283-303.
  • Show author(s) (2008). Capelin migrations and climate change - a modelling analysis. Climatic Change. 177-197.
  • Show author(s) (2007). Vertical migration in adult Atlantic cod (Gadus morhua). Canadian Journal of Fisheries and Aquatic Sciences. 1747-1760.
  • Show author(s) (2007). Linking behavioural ecology and oceanography: larval behaviour determines growth, mortality and dispersal. Marine Ecology Progress Series. 195-205.
  • Show author(s) (2007). Introducing a method for extracting horizontal migration patterns from data storage tags. Hydrobiologia. 187-197.
  • Show author(s) (2007). An ecosystem modeling approach to predicting cod recruitment. Deep-Sea Research Part II: Topical Studies in Oceanography. 2810-2821.
  • Show author(s) (2006). A standard protocol for describing individual-based and agent-based models. Ecological Modelling. 115-126.
  • Show author(s) (2005). Modelling buoyancy regulation in fishes with swimbladders: bioenergetics and behaviour. Ecological Modelling. 309-327.
  • Show author(s) (2004). Studying spatial and trophic interactions between capelin and cod using individual-based modelling. ICES Journal of Marine Science. 1201-1213.
  • Show author(s) (2004). Simulating search behaviour of fish towards bait. ICES Journal of Marine Science. 1224-1232.
  • Show author(s) (2003). Explicit trade-off rules in proximate adaptive agents. Evolutionary Ecology Research. 835-865.
  • Show author(s) (2002). Modelling changes in migration pattern of herring: collective behaviour and numerical domination. Journal of Fish Biology. 571-582.
  • Show author(s) (2002). Artificial evolution of life history and behavior. The American Naturalist. 624-644.
  • Show author(s) (2001). Spatial modelling for marine resource management, with a focus on fish. Sarsia. 405-410.
  • Show author(s) (2001). Modelling habitat choice in fish using adapted random walk. Sarsia. 477-483.
  • Show author(s) (2000). Juvenile herring prey on Barents Sea capelin larvae. Sarsia. 385-391.
  • Show author(s) (2000). Juvenile herring prey on Barents Sea capelin larvae. Sarsia. 385-391.
  • Show author(s) (1999). Implementing behaviour in individual-based models using neural networks and genetic algorithms. Evolutionary Ecology. 469-483.
  • Show author(s) (1999). A neural network approach for predicting stock abundance of the Barents Sea capelin. Sarsia. 457-464.
  • Show author(s) (1999). A length-based hypothesis for feeding migrations in pelagic fish. Canadian Journal of Fisheries and Aquatic Sciences. 26-34.
  • Show author(s) (1998). Sex-specific life history strategies in capelin (Mallotus villosus)? Canadian Journal of Fisheries and Aquatic Sciences. 631-638.
  • Show author(s) (1998). Modelling spatial dynamics of fish. Reviews in Fish Biology and Fisheries. 57-81.
  • Show author(s) (1998). Ecology in Mare Pentium; an individual-based spatio-temporal model for fish with adapted behaviour. Fisheries Research. 163-178.
  • Show author(s) (1997). Fecundity of the Barents Sea capelin (Mallotus villosus). Marine Biology. 309-313.
  • Show author(s) (1996). A comparative study of the feeding habits of herring (Clupea harengus, Clupeidae, L.) and capelin (Mallotus villosus, osmeridae, Muller) in the Barents Sea. Sarsia. 143-153.
Report
  • Show author(s) (2023). The One Ocean Expedition: Science and Sailing for the Ocean We Want. 2023 - 34. 2023 - 34. .
  • Show author(s) (2022). Investering i infrastrukturer for FAIR forskningsdata og særlig relevante forvaltningsdata for forskning. Anbefalinger fra datainfrastrukturutvalget mai 2022. .
  • Show author(s) (2020). Norwegian coastal cod north of 62˚ N : Assessment of biological status, proposals for management measures and a new rebuilding plan . 2020 - 02. 2020 - 02. .
  • Show author(s) (2020). Havforskningsinstituttets infrastrukturbehov for innhenting av marine data i perioden 2021-2030. 2020 - 29. 2020 - 29. .
  • Show author(s) (2019). Influence of ecosystem changes on harvestable resources at high latitudes : Proceedings of the 18th Russian-Norwegian Symposium Murmansk, 5–7 June 2018. 2019 - 01. 2019 - 01. .
  • Show author(s) (2019). Assessment of commitments on sustainable fisheries to the Our Ocean conferences : Where are we now? 2019-43. 2019-43. .
  • Show author(s) (2018). Ressursoversikten 2018. 6-2018. 6-2018. .
  • Show author(s) (2018). Muligheter og prioriteringer for flerbestandsforvaltning i norske fiskerier . 7-2018. 7-2018. .
  • Show author(s) (2016). Final report of the Working Group on Integrated Assessments of the Norwegian Sea (WGINOR) 7-11 December 2015, Reykjavik, Iceland. SSGIEA:10. SSGIEA:10. .
  • Show author(s) (2015). Barentshavet - for stort og komplekst for en strikt balansert høsting. .
  • Show author(s) (2014). 2nd Interim Report of the Working Group on Integrated Assessments of the Norwegian Sea. 2014/SSGRSP:07. 2014/SSGRSP:07. .
  • Show author(s) (2013). IMR ecosystem activity in the Arctic Ocean - Report from a committee. 4. 4. .
  • Show author(s) (2012). Rapport fra utvalg til å vurdere fremtidig utvikling i våre mest sentrale fiskebestander. 29. 29. .
  • Show author(s) (2008). Havets ressurser og miljø 2008. 1. 1. .
Lecture
  • Show author(s) (2022). Standing stock of Antarctic krill (Euphausia superba, Dana 1850) (Euphausiacea) in the Southwest Atlantic sector of the Southern Ocean.
  • Show author(s) (2010). Atlantis Ecosystem Model and the MENUII Project.
Academic lecture
  • Show author(s) (2022). Developing and deploying machine learning methods for acoustic data.
  • Show author(s) (2021). IMR Climate Impact Analysis for 39 stocks in the Northeast Atlantic.
  • Show author(s) (2019). Climate vulnerability assessments ‒ a mechanistic approach.
  • Show author(s) (2018). Mechanisms behind changes in Northeast Atlantic cod stocks during climate warming .
  • Show author(s) (2018). Climate vulnerability of marine fish, response traits and mechanisms.
  • Show author(s) (2017). Challenges and lessons learned in fisheries advice work, and the complex interplay between science, method development and people management.
  • Show author(s) (2015). Ensuring sustainability of harvested and farmed marine resources through innovative monitoring projects.
  • Show author(s) (2014). Spatial aspects and drift Closing the loop: Towards full life cycle models of fish populations .
  • Show author(s) (2014). Integrated Ecosystem Assessments in Norway: Comparison over three different ecosystems.
  • Show author(s) (2013). A framework for data flow from observations to advice – the development of a new, efficient data infrastructure at IMR.
  • Show author(s) (2012). NORWECOM.E2E: Results focusing on the calanus module.
  • Show author(s) (2012). Effects of climate change on the Calanus complex in the Nordic Seas from individual based model simulations.
  • Show author(s) (2011). Towards a generic zooplankton IBM module in NORWECOM.E2".
  • Show author(s) (2011). Modelling Arctic Ocean zooplankton and fish distributions and climate change.
  • Show author(s) (2011). Life-history strategies and population dynamics of Northern krill.
  • Show author(s) (2010). Raudåte – Norges viktigste pelagiske bestand!
  • Show author(s) (2008). Modelling zooplankton-phytoplankton interactions in the Nordic Seas using a fully coupled 3 dimensional Calanus finmarchicus Individual Based Model.
  • Show author(s) (2006). An Ecosystem modelling approach to Predicting Cod Recruitment.
  • Show author(s) (2003). Analysing interactions between capelin and cod in the Barents Sea by individual-based modelling.
Editorial
  • Show author(s) (2020). Introduction to: Comparing ocean basin ecosystem structure and functioning across the North Atlantic. Deep-Sea Research Part II: Topical Studies in Oceanography.
  • Show author(s) (2019). Influence of ecosystem changes on harvestable resources at high latitudes. ICES Journal of Marine Science. I1-I2.
  • Show author(s) (2010). Comparative analysis of marine ecosystems: workshop on predator-prey interactions. Biology Letters. 579-581.
Popular scientific article
  • Show author(s) (2012). Norwegian Marine Data Centre. META. 31-35.
  • Show author(s) (2001). Models, global change and adaptive behaviour. GLOBEC International Newletter. 30-31.
Feature article
  • Show author(s) (2020). Barentshavets økologi i endring - kva betyr det for torsken? www.hi.no.
Doctoral dissertation
  • Show author(s) (2010). Spatial interactions between pelagic fish in the Norwegian Sea.
  • Show author(s) (1998). Life history strategies and spatial dynamics of the Barents Sea capelin (Mallotus villosus). -.
Interview
  • Show author(s) (2021). Digital future for ocean research.
Programme management
  • Show author(s) (2017). «Landslag» skal forske i Arktis.
Academic chapter/article/Conference paper
  • Show author(s) (2006). The role of fish learning skills in fisheries and aquaculture. 33 pages.
  • Show author(s) (2006). Fish Behaviour,Learning, Aquaculture and Fisheries. 46 pages.
  • Show author(s) (2004). 33. Utilizing different levels of adaptation in individual-based modeling. 15 pages.
  • Show author(s) (2002). Individual based modelling. 21 pages.
Poster
  • Show author(s) (2018). Towards seamless integration of data and processing software: data products generated from machine-to-machine interfaces.
  • Show author(s) (2007). Zooplankton-phytoplankton interactions simulated by combining distinct modeling approaches in the Norwegian Sea.
Errata
  • Show author(s) (2021). Erratum: Standing stock of Antarctic krill (Euphausia superba Dana, 1850) (Euphausiacea) in the Southwest Atlantic sector of the Southern Ocean, 2018-19 (Journal of Crustacean Biology (2021) 41:3 DOI: 10.1093/jcbiol/ruab046). Journal of Crustacean Biology.
Academic literature review
  • Show author(s) (2021). Standing stock of Antarctic krill (Euphausia superba Dana, 1850) (Euphausiacea) in the Southwest Atlantic sector of the Southern Ocean, 2018-19. Journal of Crustacean Biology. 17 pages.
  • Show author(s) (2010). Modelling encounter rates and distribution of mobile predators and prey. Progress in Oceanography. 93-104.

More information in national current research information system (CRIStin)