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New Technologies for Monitoring Coastal Ecosystem Dynamics.
Cavanaugh, Kyle C; Bell, Tom W; Aerni, Karen E; Byrnes, Jarrett E K; McCammon, Seth; Smith, Madison M.
Afiliación
  • Cavanaugh KC; 1Department of Geography, University of California, Los Angeles, California, USA; email: kcavanaugh@geog.ucla.edu.
  • Bell TW; 2Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.
  • Aerni KE; 3Department of Marine Sciences, University of Connecticut, Groton, Connecticut, USA.
  • Byrnes JEK; 4Department of Biology, University of Massachusetts Boston, Boston, Massachusetts, USA.
  • McCammon S; 2Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.
  • Smith MM; 2Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.
Ann Rev Mar Sci ; 2024 Jul 26.
Article en En | MEDLINE | ID: mdl-39059419
ABSTRACT
In recent years, our view of coastal ecosystems has expanded and come into greater focus. We are currently making more types of observations over larger areas and at higher frequencies than ever before. These advances are timely, as coastal ecosystems are facing increasing pressures from climate change and anthropogenic stressors. This article synthesizes recent literature on emerging technologies for coastal ecosystem monitoring, including satellite monitoring, aerial and underwater drones, in situ sensor networks, fiber optic systems, and community science observatories. We also describe how advances in artificial intelligence and deep learning underpin all these technologies by enabling insights to be drawn from increasingly large data volumes. Even with these recent advances, there are still major gaps in coastal ecosystem monitoring that must be addressed to manage coastal ecosystems during a period of accelerating global change.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Ann Rev Mar Sci Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Ann Rev Mar Sci Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos