References

Aksnes, D., Ulvestad, K., Balino, B., Berntsen, J., Egge, J., & Svendsen, E. (1995). Ecological modelling in coastal waters: Towards predictive physical-chemical-biological simulation models. Ophelia, 41, 5–36.   doi:10.1080/00785236.1995.10422035.

Almroth-Rosell, E., Eilola, K., Kuznetsov, I., Hall, P. O., & Meier, H. M. (2015). A new approach to model oxygen dependent benthic phosphate fluxes in the Baltic Sea, J. Marine Syst., 144, 127– 141, https://doi.org/10.1016/j.jmarsys.2014.11.007

BACC II Author Team. (2015). Second Assessment of Climate Change for the Baltic Sea Basin. Springer. Regional Climate Studies Open Access, 501 p

Baudron, A. R., Brunel, T., Blanchet, M. A., Hidalgo, M., Chust, G., Brown, E. J., Kleisner, K. M., Millar, C., MacKenzie, B. R., Nikolioudakis, N., Fernandes, J. A., & Fernandes, P. G. (2020). Changing fish distributions challenge the effective management of European fisheries. Ecography, 43(4), 494-505. https://doi.org/10.1111/ecog.04864

Belušic, D., et al. (2020). HCLIM38: A flexible regional climate model applicable for different climate zones from coarse to convection-permitting scales. Geoscientific Model Development, 13, 1311–1333. https://doi.org/10.5194/gmd-13-1311-2020

Bjørndal, T., & Ekerhovd, N. A. (2014). Management of pelagic fisheries in the North East Atlantic: Norwegian spring spawning herring, mackerel, and blue whiting. Marine Resource Economics, 29(1), 69-83. https://doi.org/10.1086/676286

Blenckner, T., Ammar, Y., Müller-Karulis, B., Niiranen, S., Arneborg, L., & Li, Q. (2021). The risk for novel and disappearing environmental conditions in the Baltic Sea. Frontiers in Marine Science, 8, 745722.

Borgman, E., Pedersen, M. F., & Stæhr, P. A. U. (2022). Marine heatwaves in northern sea areas: Occurrence, effects, and expected frequencies. PlanMiljø (NORION), Copenhagen. M-2239. 38 p.

Burgess, M. G., Becker, S. L., Langendorf, R. E., Fredston, A., & Brooks, C. M. (2023). Climate change scenarios in fisheries and aquatic conservation research. ICES Journal of Marine Science, 80, 1163-1178. https://doi.org/10.1093/icesjms/fsad045

Chylek, P., Folland, C. K., Klett, J. D., Wang, M., Lesins, G., & Dubey, M. K. (2024). Why does the ensemble mean of CMIP6 models simulate Arctic temperature more accurately than global temperature? Atmosphere, 15. https://doi.org/10.3390/atmos15050567

Climate Change in the Baltic Sea (2021). Fact Sheet. Baltic Sea Environment Proceedings n°180. HELCOM/Baltic Earth 2021.

Climate Change in the Baltic Sea (2024) Fact Sheet. Baltic Sea Environment Proceedings n°198. HELCOM/Baltic Earth 2024.

Dai, A., & Trenberth, K. (2002). Estimates of freshwater discharge from continents: Latitudinal and seasonal variations. Journal of Hydrometeorology, 3, 660-687.

Donnelly, C., Andersson, J., & Arheimer, B. (2016). Using flow signatures and catchment similarities to evaluate a multi-basin model (E-HYPE) across Europe. Hydrological Sciences Journal, 61, 255-273. https://doi.org/10.1080/02626667.2015.1027710

Eilola, K., Meier, H. M., & Almroth, E. (2009). On the dynamics of oxygen, phosphorus and cyanobacteria in the Baltic Sea: A model study. Journal of Marine Systems, 75, 163-184. https://doi.org/10.1016/j.jmarsys.2008.08.009

Folkvord, A., Høie, H., Johannessen, A., & Solbakken, T. (2009). Effects of prey concentration, light regime, and parental origin on growth and survival of herring larvae under controlled experimental conditions. ICES Journal of Marine Science, 66, 1702-1709.

Fonselius, S. H. (1962). Hydrography of the Baltic deep basins. Fiskeristyrelsen. Retrieved from https://www.diva-portal.org/smash (last access: January 2024).

Fossheim, M., Primicerio, R., Johannesen, E., Ingvaldsen, R. B., Aschan, M. M., & Dolgov, A. V. (2015). Recent warming leads to a rapid borealization of fish communities in the Arctic. Nature Climate Change, 5, 673-677. https://doi.org/10.1038/nclimate2647

Fredriksson, S., Granhag, L., Källström, B., Dahlgren, T., Glenner, H., Prins, E., Brunnabend, S.-E., Carlstedt, L., & Arneborg, L. (2024). Climate invasive minimizing the negative effects of climate change-induced spread of invasive alien species to marine protected areas using species distribution modeling, stakeholder engagement and eradication methods. Swedish Climate Symposium 2024. Retrieved from https://swedishclimatesymposium.com/wp-content/uploads/2024/05/Book-of-abstract.pdf

Fulton, E. A. et al. (2011). Lessons in modelling and management of marine ecosystems: The Atlantis experience. Fish and Fisheries, 12(2), 171-188. https://doi.org/10.1111/j.1467-2979.2011.00412.x

Gustafsson, B. G. et al. (2012). Reconstructing the development of Baltic Sea eutrophication 1850–2006. AMBIO, 41(5), 534-548. https://doi.org/10.1007/s13280-012-0318-x

Haga Initiative (Butros, D., & Ekelund, N.). (2022). Nordic CEOs’ view of raised climate ambitions in the Nordic countries. Haga Initiative, Skift Business Climate Leaders, and Climate Leadership Coalition.

Hansen, C. E., Skern-Mauritzen, M., van der Meeren, G., Jähkel, A., & Drinkwater, K. F. (2016). Set-up of the Nordic and Barents Seas (NoBa) Atlantis model. Fisken og Havet, 2, Institute of Marine Research.

Hansen, C., Drinkwater, K. F., Jähkel, A., Fulton, E. A., Gorton, R., & Skern-Mauritzen, M. (2019). Sensitivity of the Norwegian and Barents Sea Atlantis end-to-end ecosystem model to parameter perturbations of key species. PLoS ONE, 14(1). https://doi.org/10.1371/journal.pone.0210419

Henriksen, T., & Hoel, A. H. (2011). Determining allocation: From paper to practice in the distribution of fishing rights between countries. Ocean Development & International Law, 42(1-2), 66-93. https://doi.org/10.1080/00908320.2011.542106

Henson, S. A., Cael, B., Allen, S. R., & Dutkiewicz, S. (2021). Future phytoplankton diversity in a changing climate. Nature Communications, 12, 5372.

Hersbach, H., et al. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730), 1999-2049. https://doi.org/10.1002/qj.3803

Hjøllo, S., Huse, G., Skogen, M. D., & Melle, W. (2012). Modelling secondary production in the Norwegian Sea with a fully coupled physical/primary production/individual-based Calanus finmarchicus model system. Marine Biology Research, 8(5-6), 508-526. https://doi.org/10.1080/17451000.2011.642805

Hobday, A. J., et al. (2016). A hierarchical approach to defining marine heatwaves. Progress in Oceanography, 141, 227-238. https://doi.org/10.1016/j.pocean.2015.12.014

Hordoir, R., Skagseth, Ø., Ingvaldsen, R. B., Sandø, A. B., Löptien, U., Dietze, H., Gierisch, A. M. U., Assmann, K. M., Lundesgaard, Ø., & Lind, S. (2022). Changes in Arctic stratification and mixed layer depth cycle: A modeling analysis. Journal of Geophysical Research: Oceans, 127. https://doi.org/10.1029/2021JC017270

IPCC. (2019). IPCC special report on the ocean and cryosphere in a changing climate (H.-O. Pörtner et al., Eds.). Cambridge University Press. https://doi.org/10.1017/9781009157964

IPCC. (2021). Climate change 2021: The physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (V. Masson-Delmotte et al., Eds.). Cambridge University Press. https://doi.org/10.1017/9781009157896

Jacob, D., Teichmann, C., Sobolowski, S., et al. (2020). Regional climate downscaling over Europe: Perspectives from the EURO-CORDEX community. Regional Environmental Change, 20, 51. https://doi.org/10.1007/s10113-020-01606-9

Jahanmard, V., Löptien, U., Sandø, A. B., Gierisch, A. M. U., Dietze, H., Lien, V., Delpeche-Ellmann, N., & Hordoir, R. (2024). Barotropic trends through Barents Sea opening for the period 1970-2021. Journal of Geophysical Research: Oceans. https://doi.org/10.1029/2024JC021663

Kjesbu, O. S., et al. (2022). Highly mixed impacts of near-future climate change on stock productivity proxies in the North East Atlantic. Fish and Fisheries, 23(3), 601-615. https://doi.org/10.1111/faf.12635

Kristiansen, T., & Butenschön, M. (2023). An ensemble of trend preserving statistically downscaled projections for key marine variables under three different future scenarios for the North Sea (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6523926

Kvamsdal, S. F., Dankel, D., Ekerhovd, N.-A., Hoel, A. H., Renner, A., Sandø, A. B., & Steinshamn, S. I. (2022). Multidisciplinary perspectives on living marine resources in the Arctic. Polar Research, 41, 7766. https://doi.org/10.33265/polar.v41.7766

Larsen, J., Maar, M., Mohn, C., & Pastor, A. (2020). A versatile marine modelling tool applied to arctic, temperate and tropical waters. PLOS ONE, 15(e0231193).

Lenhart, H.-J. et al. (2010). Predicting the consequences of nutrient reduction on the eutrophication status of the North Sea. Journal of Marine Systems, 81(1-2), 148-170. https://doi.org/10.1016/j.jmarsys.2009.12.014

Maar, M., Larsen, J., & Schourup-Kristensen, V. (2023a). Intensified mussel farming; Impacts on nutrient budgets and ecology in a eutrophic semi-enclosed system. Journal of Geophysical Research: Biogeosciences, 128, https://doi.org/10.1029/2022JG007312

Maar, M., Holbach, A., Boderskov, T., Thomsen, M., Buck, B. H., Kotta, J., & Bruhn, A. (2023b). Multi-use of offshore wind farms with low-trophic aquaculture can help achieve global sustainability goals. Communications Earth & Environment, 4(1). https://doi.org/10.1038/s43247-023-01116-6

Maar, M., Larsen, J., Butenschön, M., Kristiansen, T., Thodsen, H., Taylor, D., & Schourup-Kristensen, V. (2024). Climate change impacts on benthic mussels and suspended mussel culture in a eutrophic estuary. Heliyon, 10(3). https://doi.org/10.1016/j.heliyon.2024.e25218

Madonna, E., & Sandø, A. B. (2022). Understanding differences in north Atlantic poleward ocean heat transport and its variability in global climate models. Geophysical Research Letters, 49, e2021GL096683. https://doi.org/10.1029/2021GL096683

Meier, H. E., Dieterich, C., & Gröger, M. et al. (2022). Oceanographic regional climate projections for the Baltic Sea until 2100. Earth System Dynamics, 13(1), 159-199. https://doi.org/10.5194/esd-13-159-2022

Miljø-og-Fødevareministeriet (2016). Vandområdeplan 2015-2021 for Vandområdedistrikt Jylland og Fyn. 144 p. ISBN nr. 978-87-7175-582-4. In Danish.

Mohamed, B., Nilsen, F., & Skogseth, R. (2022). Marine heatwaves characteristics in the Barents Sea based on high resolution satellite data (1982-2020). Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.821646

Molina-Navarro, E., Andersen, H. E., Nielsen, A., Thodsen, H., & Trolle, D. (2017). The impact of the objective function in multi-site and multi-variable calibration of the SWAT model. Environmental Modelling & Software, 93, 255-267.

Mousing, E. A., Ellingen, I., Hjøllo, S. S., Husson, B., Skogen, M. D., & Wallhead, P. (2023). Why do regional biogeochemical models produce contrasting future projections of primary production in the Barents Sea? Journal of Sea Research, 192, 102366.

Murawski, J., She, J., Mohn, C., Frishfelds, V., & Nielsen, J. W. (2021). Ocean circulation model applications for the estuary-coastal-open sea continuum. Frontiers in Marine Science, 8.

Nilsen, I., Hansen, C., Kaplan, I., Holmes, E., & Langangen, O. (2022). Exploring the role of Northeast Atlantic cod in the Barents Sea food web using a multi-model approach. Fish and Fisheries, 23(5), 1083-1098. https://doi.org/10.1111/faf.12671

Nilsen, I., Fransner, F., Olsen, A., Tjiputra, J., Hordoir, R., & Hansen, C. (2023). Trivial gain of downscaling in future projections of higher trophic levels in the Nordic and Barents Seas. Fisheries Oceanography, 32, 479–493. https://doi.org/10.1111/fog.12641

Nilsen, I., Hansen, C., Kaplan, I.C. (2024). A shifting chessboard: Projections of prawn, capelin, mesopelagic fish, zooplankton and their Nordic and Barents Seas food web under climate change. Progress in Oceanography. https://doi.org/10.1016/j.pocean.2024.103387

Nilsson, A. E., Gerger Swartling, Å., & Stjernström, O. (2017). Socio-economic scenario studies for the Barents Sea. In The Interconnected Arctic—UArctic Congress 2016 (pp. 115-130). Springer, Cham. https://doi.org/10.1007/978-3-319-57532-2_12

O'Neill, B. C., et al. (2016). The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6. Geoscientific Model Development, 9, 3461–3482. https://doi.org/10.5194/gmd-9-3461-2016

Ottersen, G., Børsheim, K. Y., Arneborg, L., Maar, M., Schourup-Kristensen, V., Almroth Rosell, E., & Hieronymus, M. (2023). Observed and expected future impacts of climate change on marine environment and ecosystems in the Nordic region. Rapport fra havforskningen. Havforskningsinstituttet, pp. 56. In Norwegian with English Summary.

Planque, B., Mullon, C., Arneberg, P., Eide, A., Fromentin, J.-M., Heymans, J. J., Hoel, A. H., Niiranen, S., Ottersen, G., Sandø, A. B., Sommerkorn, M., Thébaud, O., & Thorvik, T. (2019). A participatory scenario method to explore the future of marine social-ecological systems. Fish and Fisheries, 20, 434-451. https://doi.org/10.1111/faf.12356

PwC (2023). Seafood Barometer 2023. https://www.pwc.no/no/publikasjoner/2023-rapport-sjoematbarometeret.pdf

Quante, M., & Colijn, F. (2016). North Sea region climate change assessment. In Regional Climate Studies (p. 528). Springer Nature. https://doi.org/10.1007/978-3-319-39745-0

Ruvalcaba Baroni, I., Almroth-Rosell, E., Axell, L., Fredriksson, S. T., Hieronymus, J., Hieronymus, M., Brunnabend, S.-E., Gröger, M., Kuznetsov, I., Fransner, F., Hordoir, R., Falahat, S., & Arneborg, L. (2024). Validation of the coupled physical–biogeochemical ocean model NEMO–SCOBI for the North Sea–Baltic Sea system. Biogeosciences, 21(8), 2087-2132. https://doi.org/10.5194/bg-21-2087-2024

Salthaug, A., & Stenevik, E. (2024). Distribution and abundance of Norwegian spring-spawning herring during the spawning season 2024. Toktrapport IMR, 2024(8).

Sandø, A. B., Mousing, E. A., Budgell, W. P., Hjøllo, S. S., Skogen, M. D., & Ådlandsvik, B. (2021). Barents Sea plankton production and controlling factors in a fluctuating climate. ICES Journal of Marine Science, 78, 1999–2016. https://doi.org/10.1093/icesjms/fsab067

Sandø, A. B., Hjøllo, S. S., Hansen, C., Skogen, M. D., Hordoir, R., & Sundby, S. (2024). A multi-scenario analysis of climate impacts on plankton and fish stocks in northern seas. Fish and Fisheries. https://doi.org/10.1111/faf.12834

Saraiva, S., Meier, H. E. M., Andersson, H., Höglund, A., Dieterich, C., Gröger, M., Hordoir, R., & Eilola, K. (2019a). Uncertainties in projections of the Baltic Sea ecosystem driven by an ensemble of global climate models. Frontiers in Earth Science, 6, 244.  https://www.frontiersin.org/article/10.3389/feart.2018.00244

Saraiva, S., Meier, H. E. M., Andersson, H., Höglund, A., Dieterich, C., Gröger, M., Hordoir, R., & Eilola, K. (2019b). Baltic Sea ecosystem response to various nutrient load scenarios in present and future climates. Climate Dynamics. https://doi.org/10.1007/s00382-018-4330-0

Savchuk, O. (2018). Large-scale nutrient dynamics in the Baltic Sea, 1970–2016. Frontiers in Marine Science, 5. https://doi.org/10.3389/fmars.2018.00095

Schourup-Kristensen, V., Maar, M., Larsen, J., Mohn, C., Murawski, J., She, J., & Jakobsen, H. H. (2021). Methodology for defining homogeneous water bodies for management purposes. Marine Pollution Bulletin, 173, 113004.

Schourup-Kristensen, V., Larsen, J., & Maar, M. (2023). Drivers of hypoxia in a shallow and eutrophicated semi-enclosed fjord. Marine Pollution Bulletin, 188, 114621.

Skaret, G., Dalpadado, P., Hjøllo, S., Skogen, M., & Strand, E. (2014). Calanus finmarchicus abundance, production and population dynamics in the Barents Sea in a future climate. Progress in Oceanography, 125, 26–39. https://doi.org/10.1016/j.pocean.2014.04.008

Skogen, M., Svendsen, E., Berntsen, J., Aksnes, D., & Ulvestad, K. (1995). Modelling the primary production in the North Sea using a coupled 3 dimensional physical chemical biological ocean model. Estuarine, Coastal and Shelf Science, 41, 545–565. https://doi.org/10.1016/0272-7714(95)90026-8

Skogen, M., & Søiland, H. (1998). A user’s guide to NORWECOM v2.0. The NORWegian ECOlogical Model system. Technical Report Fisken og Havet, 18/98. Institute of Marine Research. Pb.1870, NO-5024 Bergen. 42 pp.

Skogen, M., Budgell, W., & Rey, F. (2007). Interannual variability in Nordic Seas primary production. ICES Journal of Marine Science, 64, 889–898. https://doi.org/10.1093/icesjms/fsm063

Skogen, M., Olsen, A., Børsheim, K., Sandø, A., & Skjelvan, I. (2014). Modelling ocean acidification in the Nordic and Barents Seas in present and future climate. Journal of Marine Systems, 131, 10–20. https://doi.org/10.1016/j.jmarsys.2013.10.005

Skogen, M., Hjøllo, S., Sandø, A., & Tjiputra, J. (2018). Future ecosystem changes in the North East Atlantic: A comparison between a global and a regional model system. ICES Journal of Marine Science, 75, 2355–2369. https://doi.org/10.1093/icesjms/fsy088

United Nations. (1995). Agreement for the implementation of the provisions of the United Nations Convention on the Law of the Sea of 10 December 1982 relating to the conservation and management of straddling fish stocks and highly migratory fish stocks. Adopted in New York, USA, on 4 December 1995. 5 p.

Utne, K., Huse, G., Ottersen, G., Holst, J., Zabavnikov, V., Jackobsen, J., Oskarsson, G., & Nøttestad, L. (2012). Horizontal distribution and overlap of planktivorous fish stocks in the Norwegian Sea during summers 1995-2006. Marine Biology Research, 8(5-6), 420-441.

Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., et al. (2019). Evaluation of CMIP6 DECK experiments with CNRM-CM6-1. Journal of Advances in Modeling Earth Systems, 11, 2177–2213. https://doi.org/10.1029/2019MS001683

Wåhlström, I. et al. (2020). Combined climate change and nutrient load impacts on future habitats and eutrophication indicators in an eutrophic coastal sea. Limnology and Oceanography, 65(9), 2170-2187.

Wåhlström, I. et al. (2022). Projected climate change impact on a coastal sea – As significant as all current pressures combined. Global Change Biology, 28(17), 5310-5319.

Zandersen, M., et al. (2019). Shared socio-economic pathways extended for the Baltic Sea: Exploring long-term environmental problems. Regional Environmental Change, 19(4), 1073 1086. https://doi.org/10.1007/s10113-018-1453-0