Blar i Brage IMR på forfatter "Howell, Kerry L."

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    • A framework for the development of a global standardised marine taxon reference image database (SMarTaR-ID) to support image-based analyses 

      Howell, Kerry L.; Davies, Jaime S.; Allcock, Louise; Braga-Henriques, Andreia; Buhl-Mortensen, Pål; Carreiro-Silva, Marina; Dominguez-Carrio, Carlos; Durden, Jennifer M.; Foster, Nicola L.; Game, Chloe A.; Hitchin, Becky; Horton, Tammy; Hosking, Brett; Jones, Daniel O.B.; Mah, Christopher L.; Laguionie Marchais, Claire; Menot, Lenaick; Morato, Telmo; Pearman, Tabitha R.R.; Ross, Rebecca; Ruhl, Henry A.; Saeedi, Hanieh; Stefanoudis, Paris V.; Taranto, Gerald H.; Thompson, Michael B.; Taylor, James R.; Tyler, Paul A.; Vad, Johanne; Victorero, Lissette; Vieira, Rui P.; Woodall, Lucy C.; Xavier, Joana R.; Wagner, Daniel (Journal article; Peer reviewed, 2019)
      Video and image data are regularly used in the field of benthic ecology to document biodiversity. However, their use is subject to a number of challenges, principally the identification of taxa within the images without ...

    • 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 ...

    • Combining Distribution and Dispersal Models to Identify a Particularly Vulnerable Marine Ecosystem 

      Ross, Rebecca; Wort, Edward JG; Howell, Kerry L. (Journal article; Peer reviewed, 2019)
      Habitat suitability models are being used worldwide to help map and manage marine areas of conservation importance and scientific interest. With groundtruthing, these models may be found to successfully predict patches of ...

    • Comparing Deep-Sea Larval Dispersal Models: A Cautionary Tale for Ecology and Conservation 

      Ross, Rebecca; Nimmo-Smith, W. Alex M.; Torres, Ricardo; Howell, Kerry L. (Peer reviewed; Journal article, 2020)
      Larval dispersal data are increasingly sought after in ecology and marine conservation, the latter often requiring information under time limited circumstances. Basic estimates of dispersal [based on average current speeds ...

    • 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 ...

    • Machine learning in marine ecology: an overview of techniques and applications 

      Rubbens, Peter; Brodie, Stephanie; Cordier, Tristan; Desto Barcellos, Diogo; DeVos, Paul; Fernandes-Salvador, Jose A; Fincham, Jennifer; Gomes, Alessandra; Handegard, Nils Olav; Howell, Kerry L.; Jamet, Cédric; Kartveit, Kyrre Heldal; Moustahfid, Hassan; Parcerisas, Clea; Politikos, Dimitris V.; Sauzède, Raphaëlle; Sokolova, Maria; Uusitalo, Laura; Van den Bulcke, Laure; van Helmond, Aloysius; Watson, Jordan T.; Welch, Heather; Beltran-Perez, Oscar; Chaffron, Samuel; Greenberg, David S.; Kühn, Bernhard; Kiko, Rainer; Lo, Madiop; Lopes, Rubens M.; Möller, Klas Ove; Michaels, William; Pala, Ahmet; Romagnan, Jean-Baptiste; Schuchert, Pia; Seydi, Vahid; Villasante, Sebastian; Malde, Ketil; Irisson, Jean-Olivier (Peer reviewed; Journal article, 2023)
      Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks to the increase in the amount of data and computing power available, it has become pervasive across scientific ...