Blar i forfatter "Hoarau, Galice Guillaume"

Viser treff 1-3 av 3

    • Can morphology reliably distinguish between the copepods Calanus finmarchicus and C. glacialis, or is DNA the only way? 

      Choquet, Marvin; Kosobokova, Ksenia; Kwaśniewski, Sławomir; Hatlebakk, Maja Karoline Viddal; Dhanasiri, Anusha Krishanthi Shyama; Melle, Webjørn Raunsgård; Daase, Malin; Svensen, Camilla; Søreide, Janne; Hoarau, Galice Guillaume (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-02-10)
      Copepods of the genus <i>Calanus</i> play a key role in marine food webs as consumers of primary producers and as prey for many commercially important marine species. Within the genus, <i>Calanus glacialis</i> and <i>Calanus finmarchicus</i> are considered indicator species for Arctic and Atlantic waters, respectively, and changes in their distributions are frequently used as a tool to track climate ...

    • Genetics redraws pelagic biogeography of Calanus 

      Choquet, Marvin Raoul Charles Roger Ren; Haltebakk, Maja; Dhanasiri, Anusha Krishanthi Shyama; Kosobokova, Ksenia N.; Smolina, Irina Vladimirovna; Søreide, Janne; Svensen, Camilla; Melle, Webjørn Raunsgård; Kwasniewski, Slawomir; Eiane, Ketil; Daase, Malin; Tverberg, Vigdis; Skreslet, Stig; Bucklin, Ann; Hoarau, Galice Guillaume (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-12-20)
      Planktonic copepods of the genus Calanus play a central role in North Atlantic/Arctic marine food webs. Here, using molecular markers, we redrew the distributional ranges of Calanus species inhabiting the North Atlantic and Arctic Oceans and revealed much wider and more broadly overlapping distributions than previously described. The Arctic shelf species, C. glacialis, dominated the zooplankton ...

    • Mapping Marine Macroalgae along the Norwegian Coast Using Hyperspectral UAV Imaging and Convolutional Nets for Semantic Segmentation 

      Skjelvareid, Martin Hansen; Rinde, Eli; Hancke, Kasper; Blix, Katalin; Hoarau, Galice Guillaume (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-20)
      Marine macroalgae form underwater "blue forests" with several important functions. Hyperspectral imaging from unmanned aerial vehicles provides a rich set of spectral and spatial data that can be used to map the distribution of such macroalgae. Results from a study using 81 annotated hyper-spectral images from the Norwegian coast are presented. A U-net convolutional network was used for classification, ...