Blar i forfatter "Zhulay, Irina"

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    • Arctic deep-sea benthos: biodiversity, biological traits, and food webs 

      Zhulay, Irina (Doctoral thesis; Doktorgradsavhandling, 2022-06-24)
      Understanding Arctic deep-sea ecosystem structure and functioning is an urgent task because ongoing sea-ice reduction modifies and opens up these regions for resource exploitation. This thesis aims to increase knowledge on epibenthos in the Chukchi Borderland (deep Arctic Ocean). Paper I documents low epifaunal densities and biomass, a total of 152 taxa, and dominance of Echinodermata, Arthropoda ...

    • Epibenthic megafauna communities in Northeast Greenland vary across coastal, continental shelf and slope habitats 

      Fredriksen, Rosalyn; Christiansen, Jørgen Schou; Bonsdorff, Erik; Larsen, Lars-Henrik; Nordström, Marie C.; Zhulay, Irina; Bluhm, Bodil (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-29)
      The marine area of Northeast Greenland belongs to the largest national park in the world. Biodiversity assessments and tailored conservation measures often target specific physiographic or oceanographic features of an area for which detailed knowledge on their biological communities is incomplete. This study, therefore, characterizes epibenthic megafauna communities in a priori defined seabed habitats ...

    • Epifaunal communities across marine landscapes of the deep Chukchi Borderland (Pacific Arctic) 

      Zhulay, Irina; Iken, Katrin; Renaud, Paul Eric; Bluhm, Bodil (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-06-27)
      Epifaunal communities from the poorly studied Arctic deep sea of the Chukchi Borderland region were investigated to: (1) determine differences in community structure among ridges, plateau with pockmarks, and much deeper basins as three main habitat types, (2) analyse the environmental factors that might shape these communities, and (3) investigate biogeographic affinities dominating the epifaunal ...

    • Functional Pattern of Benthic Epifauna in the Chukchi Borderland, Arctic Deep Sea 

      Zhulay, Irina; Bluhm, Bodil; Renaud, Paul E.; Degen, Renate; Iken, Katrin (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-26)
      Assessment of Arctic deep-sea ecosystem functioning is currently an urgent task considering that ongoing sea-ice reduction opens opportunities for resource exploitation of yet understudied deep-sea regions. We used Biological Trait Analysis to evaluate ecosystem functioning and test if common paradigms for deep-sea fauna apply to benthic epifauna of the deep-sea Arctic Chukchi Borderland (CBL). We ...

    • Reduced efficiency of pelagic–benthic coupling in the Arctic deep sea during lower ice cover 

      Zhulay, Irina; Iken, Katrin; Renaud, Paul Eric; Kosobokova, Ksenia; Bluhm, Bodil (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-25)
      Pelagic–benthic coupling describes the connection between surface-water production and seafloor habitats via energy, nutrient and mass exchange. Massive ice loss and warming in the poorly studied Arctic Chukchi Borderland are hypothesized to affect this coupling. The strength of pelagic–benthic coupling was compared between 2 years varying in climate settings, 2005 and 2016, based on δ<sup>13</sup>C and ...

    • Trait-based approaches in rapidly changing ecosystems: A roadmap to the future polar oceans 

      Degen, Renate; Aune, Magnus; Bluhm, Bodil; Cassidy, Camilla; Kędra, Monika; Kraan, Casper; Vandepitte, Leen; Włodarska-Kowalczuk, Maria; Zhulay, Irina; Albano, Paolo G.; Bremner, Julie; Grebmeier, Jacqueline M.; Link, Heike; Morata, Nathalie; Nordström, Marie C.; Shojaei, Mehdi Ghodrati; Sutton, Lauren; Zuschin, Martin (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-04-30)
      Polar marine regions are facing rapid changes induced by climate change, with consequences for local faunal populations, but also for overall ecosystem functioning, goods and services. Yet given the complexity of polar marine ecosystems, predicting the mode, direction and extent of these consequences remains challenging. Trait-based approaches are increasingly adopted as a tool by which to explore ...