• Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and Its Application to the Mesopelagic Sound Scattering Layer of the High Arctic 

      Herrmann, Bent; Cerbule, Kristine; Brčić, Jure; Grimaldo Vela, Eduardo Enrique; Geoffroy, Maxime; Daase, Malin; Berge, Jørgen (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-27)
      Measures of biological diversity (biodiversity) are important for monitoring the state of ecosystems. Several indices and methods are used to describe biodiversity from field observations. Marine faunal biodiversity is often quantified based on analysis of samples collected using a trawl during research surveys. To monitor spatial and temporal changes in biodiversity between surveys, samples are ...
    • Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project 

      Camus, Lionel; Andrade, Hector; Aniceto, Ana Sofia; Aune, Magnus; Bandara, Kanchana; Basedow, Sünnje Linnéa; Christensen, Kai Håkon; Cook, Jeremy; Daase, Malin; Dunlop, Katherine Mary; Falk-Petersen, Stig; fietzek, Peter; Fonnes, Gro; Ghaffari, Peygham; Gramvik, Geir; Graves, Inger; Hayes, Daniel; Langeland, Tom; Lura, Harald; Marin, Trond Kristiansen; Nøst, Ole Anders; Peddie, David; Pederick, Joel; Pedersen, Geir; Sperrevik, Ann Kristin; Sørensen, Kai; Tassara, Luca; Tjøstheim, Sigurd; Tverberg, Vigdis; Dahle, Salve (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-10-12)
      Effective ocean management requires integrated and sustainable ocean observing systems enabling us to map and understand ecosystem properties and the effects of human activities. Autonomous subsurface and surface vehicles, here collectively referred to as “gliders”, are part of such ocean observing systems providing high spatiotemporal resolution. In this paper, we present some of the results achieved ...