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Benthic animal-borne sensors and citizen science combine to validate ocean modelling

Lavender, Edward ; Aleynik, Dmitry ; Dodd, Jane ; Illian, Janine ; James, Mark ; Smout, Sophie ; Thorburn, James

Scientific reports, 2022-10, Vol.12 (1), p.16613-16613, Article 16613 [Periódico revisado por pares]

London: Nature Publishing Group

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  • Título:
    Benthic animal-borne sensors and citizen science combine to validate ocean modelling
  • Autor: Lavender, Edward ; Aleynik, Dmitry ; Dodd, Jane ; Illian, Janine ; James, Mark ; Smout, Sophie ; Thorburn, James
  • Assuntos: Endangered species ; Oceanography ; Sensors ; Telemetry
  • É parte de: Scientific reports, 2022-10, Vol.12 (1), p.16613-16613, Article 16613
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
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  • Descrição: Abstract Developments in animal electronic tagging and tracking have transformed the field of movement ecology, but interest is also growing in the contributions of tagged animals to oceanography. Animal-borne sensors can address data gaps, improve ocean model skill and support model validation, but previous studies in this area have focused almost exclusively on satellite-telemetered seabirds and seals. Here, for the first time, we develop the use of benthic species as animal oceanographers by combining archival (depth and temperature) data from animal-borne tags, passive acoustic telemetry and citizen-science mark-recapture records from 2016–17 for the Critically Endangered flapper skate ( Dipturus intermedius ) in Scotland. By comparing temperature observations to predictions from the West Scotland Coastal Ocean Modelling System, we quantify model skill and empirically validate an independent model update. The results from bottom-temperature and temperature-depth profile validation (5,324 observations) fill a key data gap in Scotland. For predictions in 2016, we identified a consistent warm bias (mean = 0.53 °C) but a subsequent model update reduced bias by an estimated 109% and improved model skill. This study uniquely demonstrates the use of benthic animal-borne sensors and citizen-science data for ocean model validation, broadening the range of animal oceanographers in aquatic environments.
  • Editor: London: Nature Publishing Group
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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