Issue № 2 |
Original research |
pdf-version |
Bakanev Sergey Victoroviсh | PhD, Polar Research Institute of Marine Fisheries and Oceanography (PINRO), 6 Knipovich St. Murmansk 183763 Russia, mombus@gmail.com |
Keywords: Arctic shrimps Sclerocrangon boreas Sclerocrangon ferox Barents Sea species distribution environmental factors ensemble modeling (SDM) climate change |
Summary: This study examines the impact of climate change on the distribution of two species of Arctic shrimp of the genus Sclerocrangon (S. boreas and S. ferox) in the Barents Sea and adjacent waters (the Kara Sea, the Norwegian Sea). Using ensemble modeling of species distribution (SDM), we assessed the ecological preferences of both species and their responses to three climate scenarios (SSP1-1.9, SSP2-4.5, SSP5-8.5; Shared Socioeconomic Pathways) by 2100. The results revealed significant differences in habitat stability: S. boreas, adapted to shallow water zones with moderate salinity, retains up to 77 % of its original range even under extreme warming (SSP5-8.5), while the cold-water S. ferox loses 64% of its habitat due to a narrow temperature optimum (-1–0°C) and dependence on high salinity. It is established that increased Atlanticization (intrusion of Atlantic waters) and a reduction in ice cover lead to a shift of habitats to the eastern and northeastern regions of the sea. © Petrozavodsk State University |
Received on: 07 April 2025 Published on: 21 June 2025 |
Allouche O., Tsoar A., Kadmon R. Assessing the accuracy of species distribution models: Prevalence, kappa and the true skill statistic (TSS), Journal of Applied Ecology. 2006. Vol. 43. P. 1223–1232.
Assis J., Fernández Bejarano S. J., Salazar V. W., Schepers L., Gouvêa L., Fragkopoulou E., Leclercq F., Vanhoorne B., Tyberghein L., Serrão E. A., Verbruggen H., De Clerck O. Bio-ORACLE v3.0. Pushing marine data layers to the CMIP6 Earth system models of climate change research, Global Ecology and Biogeography. 2024. DOI: 10.1111/geb.13813
Bakanev S. V. Distribution and assessment of the possible range of the snow crab (Chionoecetes opilio) in the Barents Sea, Principy ekologii. 2015. T. 4, No. 3. P. 27–39.
Berge J., Renaud P. E., Eiane K., Gulliksen B., Cottier F. R., Varpe O., Brattegard T. Changes in the decapod fauna of an Arctic fjord during the last 100 years (1908–2007), Polar Biology. 2009. Vol. 32, No 7. P. 953–961.
Blum H. Atlantification: Facing the Atlantic from the Arctic – a provocation, Atlantic Studies. 2024. Vol. 21 (1). P. 192–194.
Breheny P., Burchett W. Visualization of Regression Models Using visreg, The R Journal. 2017. Vol. 9/2. P. 56–71.
Eriksen E., Gjøsæter H., Prozorkevich D., Shamray E., Dolgov A., Skern-Mauritzen M., Stiansen J. E., Kovalev Yu., Sunnanå K. From single species surveys towards ecosystem monitoring in the Barents Sea , Progress in Oceanography. 2018. Vol. 166. P. 4–14.
Eyring V., Bony S., Meehl G. A., Senior C. A. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geoscientific Model Development. 2016. Vol. 9. P. 1937–1958.
Fielding A. H., Bell J. F. A review of methods for the assessment of prediction errors in conservation presence/absence models, Environmental Conservation. 1997. Vol. 24, No. 1. P. 38–49.
Fisher R. A. The design of experiments. London: Oliver and Boyd, 1935. 252 p.
Frame B., Lawrence J., Ausseil A. G., Reisinger A., Daigneault A. Adapting global shared socio-economic pathways for national and local scenarios, Clim. Risk Manage. 2018. Vol. 21. P. 39–51.
Goulet P., Mullowney D., Ratsimandresy A., Kingsbury M., Hamoutene D. Species Distribution Modelling for snow crab (Chionoecetes opilio) potential habitat in Connaigre Bay Newfoundland, Can. Tech. Rep. Fish. Aquat. Sci. 2022. Vol. 3517. vii + 36 p.
Guisan A., Thuiller W., Zimmermann N. Habitat Suitability and Distribution Models. With Applications in R. Cambridge University Press, 2017. 462 p.
Hosmer D. W., Lemeshow S. Applied logistic regression (2nd ed.). Wiley, 2000. 397 p.
Ioganzen B. G. Fayzova L. V. On the determination of the indicators of occurrence, abundance, biomass and their ratio in some hydrobionts, Elementy vodnyh ekosistem. M.: Nauka, 1978. P. 215–225.
Jørgensen L. L., Lyubin P. A., Skjoldal H. R., Ingvaldsen R. B., Anisimova N. A., Manushin I. E. Distribution of benthic megafauna in the Barents Sea: baseline for an ecosystem approach to management, ICES Journal of Marine Science. 2015. Vol. 72, No 2. P. 595–613.
Kiktev D. B. Murav'ev A. V. Bundel' A. Yu. Methodological recommendations for verification of meteorological forecasts. M.: Tipografiya AMA PRESS, 2021. 94 p.
Kuznecov V. V. Biology of the most common and abundant crustacean species of the Barents and White Seas. M.; L.: Nauka, 1964. 242 p.
Lind S., Ingvaldsen R. B., Furevik T. Arctic warming hotspot in the northern Barents Sea linked to declining sea-ice import, Nature Climate Change. 2018. Vol. 8. P. 634–639.
Liu X., Han X., Han Z. Effects of climate change on the potential habitat distribution of swimming crab Portunus trituberculatus under the species distribution model, J. Ocean. Limnol. 2022. Vol. 40. P. 1556–1565.
Mastickiy S. E. Shitikov V. K. Statistical Analysis and Data Visualization with R. 2014. URL: http://r-analytics.blogspot.com (data obrascheniya: 12.01.2025).
Mielke P. W., Berry K. J. Permutation Methods: A Distance Function Approach. N. Y.: Springer, 2001. 446 p.
Nephin J., Thompson P. L., Anderson S. C et al. Integrating disparate survey data in species distribution models demonstrate the need for robust model evaluation, Canadian Journal of Fisheries and Aquatic Sciences. 2023. Vol. 80 (12). P. 1869–1889.
Notz D. Arctic Sea Ice in CMIP6, Geophysical Research Letters. 2020. Vol. 47. 11 p.
Pearson R. G. Species’ distribution modeling for conservation educators and practitioners, American Museum of Natural History. Lessons in Conservation. 2007. Vol. 3. P. 54–89.
Petryashev V. V. Fauna of crustacean Leptostraca, Mysidacea, Isopoda and Decapoda (Anomura) of the Chukchi Sea and adjacent waters: biogeography and history of formation, Biologiya morya. 2002a. T. 28, No. 3. P. 161–169.
Petryashev V. V. Fauna of crustacean Leptostraca, Mysidacea, Isopoda and Decapoda (Anomura) of the Chukchi Sea and adjacent waters: conditions of existence and species composition, Biologiya morya. 2002b. T. 28, No. 2. P. 85–92.
Siders Z., Ducharme-Barth N., Carvalho F. et al. Ensemble Random Forests as a tool for modeling rare occurrences, Endangered Species Research. 2020. Vol. 43.
Smedsrud L. H., Esau I., Ingvaldsen R. B. et al. The role of the Barents Sea in the Arctic climate system, Reviews of Geophysics. 2013. Vol. 51 (3). P. 415–449.
Sokolov V. I. Fauna of decapod crustaceans (Crustacea, Decapoda) of the Barents Sea, Trudy VNIRO. 2003. T. 142. P. 25–76.
Thorson G. Reproductive and larval ecology of marine bottom invertebrates, Biological Reviews. 1950. Vol. 25, No 1. P. 1–45.
Thuiller W. BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change, Global Change Biology. 2003. Vol. 9. P. 1353–1362.
Weslawski J. M. Distribution of Decapoda (Crustacea) in South Spitsbergen coastal waters with remarks on their ecology and breeding biology, Polish Polar Research. 1987. Vol. 8 (2). P. 121–134.
Zimina O. L. Decapod crustaceans of the Kara Sea based on the results of trawl surveys in 2012 and 2016: fauna and distribution, Trudy Zoologicheskogo instituta RAN. 2021. T. 325, No. 3. P. 364–372.
Zimina O. L., Lyubin P. A., Jørgensen L. L., Zakharov D. V., Lyubina O. S. Decapod Crustaceans of the Barents Sea and adjacent waters: species composition and peculiarities of distribution, Arthropoda Selecta. 2015. Vol. 24 (4). P. 417–428. DOI: 10.15298/ARTHSEL.24.4.04