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Phytoplankton automated in vivo/in situ observations: towards a new approach of Essential Ocean Variables of marine coastal ecosystems.
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Edité par CCSD -
International audience. As phytoplankton is essential in supporting food webs and mediating biogeochemical cycles, it became crucial to complement discrete sampling and laboratory methods to address this compartment at its finest temporal and spatial scale. Within the “Joint European Research Infrastructure for Coastal Observatories – Novel EXperTise” (JERICO-NEXT), scientists proceeded to the exploration of novel phytoplankton automated in vivo/in situ techniques, based on single cell/particle or bulk optical characteristics. These techniques were implemented in a variety of monitoring platforms (fixed stations, moorings, research vessels, ships of opportunity), from oligotrophic (West Mediterranean) to mesotrophic and eutrophic marine coastal waters (English Channel, North Sea and Baltic Sea). These approaches could represent warning systems in water quality through phytoplankton total abundance and biomass, composition changes and the occurrence of blooms, including harmful algal blooms HAB, of special interest in areas of fishing, aquaculture and tourism. At the dawn of the UN Decade of the Ocean, the JERICO-S3 (Science, Services, Sustainability) project tends to generalise these approaches and seeks to standardise as much as possible their operability and capacity in addressing phytoplankton diversity and productivity, moving towards a new approach of Essential Ocean Variables (EOVs). Moreover, the development of automated tools for data analysis, using machine-learning and deep learning and will allow integrating these data into European marine data infrastructures available for research and marine management.
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