PHYTOBS dataset - French National Service of Observation for Phytoplankton in coastal waters
| Date | 2021 | |||||||||||||||
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| Temporal extent | 1987 -2019 | |||||||||||||||
| Author(s) | PHYTOBS | |||||||||||||||
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| Affiliation(s) | Ifremer, France Ifremer, VIGIES, Nantes Ifremer, DYNECO-PELAGOS, Brest Ifremer LER : Boulogne sur mer, Port en Bessin, Dinard, Concarneau, Lorient, La Tremblade, Sète, La Seyne sur Mer CNRS Sorbonne Université Université de Lille – CNRS - UMR 8187 LOG ULCO Université de Caen Normandie - CREC Université de Caen Normandie - Laboratoire BOREA Université de Bretagne Occidentale - UBO Université de La Rochelle, LIENSs UMR 7266 Université de Bordeaux, UMR CNRS 5805 EPOC Observatoire Océanologique de Banyuls/mer - CNRS - Sorbonne Université - UMR7621 Observatoire Océanologique de Banyuls/mer - CNRS - Sorbonne Université - FR3724 CNRS-INSU Banyuls – Laboratoire ARAGO OSU-OREME Univ Montpellier, CNRS, IRD, Sète FRANCE MARBEC Univ Montpellier, CNRS, IFREMER, IRD, Sète FRANCE GEOSCIENCES Montpellier, Univ Montpellier, CNRS MIO – UMR 110 Aix-Marseille Université/CNRS/IRD/Université de Toulon Institut de la Mer de Villefranche, IMEV - CNRS UMR7093 |
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| DOI | 10.17882/85178 | |||||||||||||||
| Publisher | SEANOE | |||||||||||||||
| Keyword(s) | phytplankton, ILICO, France, The Channel, Biscay bay, Mediterranean, Quadrige, Pelagos, REPHY, SOMLIT, Ecological niches, Trends, Environmental changes, Phenological variations, Functionnal groups, Taxinomic unit | |||||||||||||||
| Abstract | The PHYTOBS dataset includes long-term time series on marine microphytoplankton, since 1987, along the whole French metropolitan coast. Microphytoplankton data cover microscopic taxonomic identifications and counts. The whole dataset is available, it includes 25 sampling locations. PHYTOBS network studies microphytoplankton diversity in the hydrological context along French coasts under gradients of anthropogenic pressures. PHYTOBS network allows to analyse the responses of phytoplankton communities to environmental changes, to assess the quality of the coastal environment through indicators, to define ecological niches, to detect variations in bloom phenology, and to support any scientific question by providing data. The PHYTOBS network provides the scientific community and stakeholders with validated and qualified data, in order to improve knowledge regarding biomass, abundance and composition of marine microphytoplankton in coastal and lagoon waters in their hydrological context. PHYTOBS originates of two networks. The historical REPHY (French Observation and Monitoring program for Phytoplankton and Hydrology in coastal waters) supported by Ifremer since 1984 and the SOMLIT (Service d'observation en milieu littoral) supported by INSU-CNRS since 1995. The monitoring has started in 1987 on some sites and later in others. Hydrological data are provided by REPHY or SOMLIT network as a function of site locations. |
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| Licence |  |
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| Utilisation | Data are published without any warranty, express or implied. The user assumes all risk arising from her/his use of data. Data are intended to be research-quality and include estimates of data quality and accuracy, but it is possible that these estimates or the data themselves contain errors. It is the mere responsibility of the user to assess if the data are appropriate for her/his use, and to interpret the data, data quality, and data accuracy accordingly. Authors welcome users to ask questions and report problems. | |||||||||||||||
| Acknowledgements | The acquisition of this dataset was performed within the REPHY network, created and implemented by Ifremer and within the marine Universities/CNRS network before 2018. Since 2018, the acquisition is performed by the SNO PHYTOBS of the Coastal Ocean and Nearshore Observation French Research Infrastructure (“ILICO”). REPHY and SOMLIT networks support sampling. The people cited in the contributors include national coordinators of PHYTOBS, key analysts and experts in phytoplankton observations, those who contributed to structuring data in the databases, Pelagos and Quadrige, the laboratory managers implementing observation network, and individuals who contributed to the data through their personal expertise. Other contributors such as samplers and other analysts are also gratefully acknowledged. | |||||||||||||||
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