Blar i Brage IMR på forfatter "Bell, James B."

Viser treff 1-4 av 4

    • Benthic assemblage composition of South Atlantic seamounts 

      Bridges, Amelia; Barnes, David K.; Bell, James B.; Ross, Rebecca; Howell, Kerry L. (Peer reviewed; Journal article, 2021)
      Seamounts and oceanic islands rise from the seafloor and provide suitable habitat for a diverse range of biological assemblages including Vulnerable Marine Ecosystems (VMEs). Whilst they have been the focus of some work ...

    • Broad-scale benthic habitat classification of the South Atlantic 

      McQuaid, Kirsty A.; Bridges, Amelia E.H.; Howell, Kerry L.; Gandra, Tiago B.R.; de Souza, Vitor; Currie, Jock C.; Hogg, Oliver T.; Pearman, Tabitha R.R.; Bell, James B.; Atkinson, Lara J.; Baum, Diane; Bonetti, Jarbas; Carranza, Alvar; Defeo, Omar; Furey, Thomas; Gasalla, Maria A.; Golding, Neil; Hampton, Shannon L.; Horta, Sebastián; Jones, Daniel O.B.; Lombard, Amanda T.; Manca, Eleonora; Marin, Yamandú; Martin, Stephanie; Buhl-Mortensen, Pål; Passadore, Cecilia; Piechaud, Nils; Sink, Kerry J.; Yool, Andrew (Peer reviewed; Journal article, 2023)
      Marine Spatial Planning (MSP) has become a priority for many states wanting to develop national blue economy plans and meet international obligations in response to the increasing cumulative impacts of human activities and ...

    • Depth and latitudinal gradients of diversity in seamount benthic communities 

      Bridges, Amelia E.H.; Barnes, David K.A.; Bell, James B.; Ross, Rebecca; Howell, Kerry L. (Peer reviewed; Journal article, 2022)
      Latitudinal and bathymetric species diversity gradients in the deep sea have been identified, but studies have rarely considered these gradients across hard substratum habitats, such as seamount and oceanic island margins. ...

    • Filling the data gaps: Transferring models from data-rich to data-poor deep-sea areas to support spatial management 

      Bridges, Amelia E.H.; Barnes, David K.A.; Bell, James B.; Ross, Rebecca; Voges, Lizette; Howell, Kerry L. (Peer reviewed; Journal article, 2023)
      Spatial management of the deep sea is challenging due to limited available data on the distribution of species and habitats to support decision making. In the well-studied North Atlantic, predictive models of species ...