Blar i Fakultet for naturvitenskap (NV) på emneord "Marinbiologi"

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    • Mapping the Historical Shipwreck Figaro in the High Arctic Using Underwater Sensor-Carrying Robots 

      Mogstad, Aksel Alstad; Ødegård, Øyvind; Nornes, Stein Melvær; Ludvigsen, Martin; Johnsen, Geir; Sørensen, Asgeir Johan; Berge, Jørgen (Peer reviewed; Journal article, 2020)
      In 2007, a possible wreck site was discovered in Trygghamna, Isfjorden, Svalbard by the Norwegian Hydrographic Service. Using (1) a REMUS 100 autonomous underwater vehicle (AUV) equipped with a sidescan sonar (SSS) and (2) ...

    • Maternal influence on the larval morphometry of the brush-clawed shore crab Hemigrapsus takanoi (Decapoda: Brachyura) 

      Landeira, José M.; Fatira, Effrosyni; Banno, Kana; Tanaka, Yuji (Peer reviewed; Journal article, 2023)
      The morphology of larvae is a key factor influencing their behaviour, performance and ultimately their survival. There is evidence indicating a significant morphological variability among broods, and that this may be related ...

    • Operative Habitat Mapping and Monitoring in the Polar Night 

      Johnsen, Geir; Mogstad, Aksel Alstad; Berge, Jørgen; Cohen, Jonathan H. (Chapter, 2020)
      The Polar Night has long been regarded as a period of no biological activity. As a logical consequence, environmental management has mainly been neglected in this period. We will use the Northguider accident in December ...

    • Population trend of Periphylla periphylla in inner Trondheimsfjord 

      Solheim, Hilde (Master thesis, 2012)
      Periphylla periphylla (Scyphozoa, Coronatae) is a deep sea jellyfish first described by Péron & Lesueur in 1809. It is distributed in all of the world s oceans except for the Arctic. P. periphylla avoids light and is well ...

    • Underwater hyperspectral imaging as an in situ taxonomic tool for deep-sea megafauna 

      Dumke, Ines; Purser, Autun; Marcon, Yann; Nornes, Stein Melvær; Johnsen, Geir; Ludvigsen, Martin; Søreide, Fredrik (Journal article; Peer reviewed, 2018)
      Identification of benthic megafauna is commonly based on analysis of physical samples or imagery acquired by cameras mounted on underwater platforms. Physical collection of samples is difficult, particularly from the deep ...