French coastal network for carbonate system monitoring: The CocoriCO2 dataset
Type | Article | ||||||||||||
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Date | 2024-04 | ||||||||||||
Language | English | ||||||||||||
Author(s) | Petton Sébastien1, Pernet Fabrice1, Le Roy Valerian1, Huber Matthias1, Martin Sophie2, Mace Eric2, Bozec Yann2, Loisel Stephane2, Rimmelin-Maury Peggy3, Grossteffan Emilie3, Repecaud Michel4, Quemener Loïc4, Retho Michael5, Manach Soazig5, Papin Mathias6, Pineau Philippe7, Lacoue-Labarthe Thomas7, Deborde Jonathan8, Costes Louis8, Polsenaere Pierre8, Rigouin Loic9, Benhamou Jeremy9, Gouriou Laure9, Lequeux Josephine10, Labourdette Nathalie11, Savoye Nicolas11, Messiaen Gregory12, Foucault Elodie12, Ouisse Vincent12, Richard Marion12, Lagarde Franck12, Voron Florian13, Kempf Valentin13, Mas Sebastien13, Giannecchini Lea13, Vidussi Francesca14, Mostajir Behzad14, Leredde Yann15, Alliouane Samir16, Gattuso Jean-Pierre16, 17, Gazeau Frederic16 | ||||||||||||
Affiliation(s) | 1 : Ifremer, Univ Brest, CNRS, IRD, LEMAR, 29840 Argenton, France 2 : Adaptation et Diversité en Milieu Marin, AD2M Station Biologique de Roscoff, CNRS, 29680 Roscoff, France 3 : Institut Universitaire Européen de la Mer (OSU-IUEM), Univ Brest, CNRS-UAR3113, 29280, Plouzané, France 4 : Ifremer Centre de Brest REM/RDT/DCM, 29280 Plouzané, France 5 : Ifremer, Laboratoire Environnement et Ressources du Morbihan et Pays de Loire, 56100 Lorient, France 6 : Ifremer, EMMA, 85230 Bouin, France 7 : Littoral Environnement et Sociétés, LIENS Université de la Rochelle, CNRS, 17000 La Rochelle, France 8 : Ifremer, Laboratoire Environnement et Ressources des Pertuis Charentais, 17390 La Tremblade, France 9 : Ifremer, Laboratoire Environnement et Ressources d’Arcachon, 33120 Arcachon, France 10 : URA POREA/OASU, CNRS, Université de Bordeaux, La Rochelle Université, INRAE, 33600 Pessac, France 11 : UMR EPOC/OASU, Université de Bordeaux, CNRS, Bordeaux INP, 33600 Pessac, France 12 : MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Sète, France 13 : OSU OREME, CNRS, Univ Montpellier, IRD, IRSTEA, 34200 Sète, France 14 : MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Montpellier, France 15 : Géosciences Montpellier, CNRS, Univ Montpellier, 34000 Montpellier, France 16 : CNRS, Laboratoire d’Océanographie de Villefranche, Sorbonne Université, 06230 Villefranche-sur-Mer, France 17 : Institute for Sustainable Development and International Relations, Sciences Po, 75007 Paris, France |
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Source | Earth System Science Data (1866-3508) (Copernicus Gesellschaft Mbh), 2024-04 , Vol. 16 , N. 4 , P. 1667-1688 | ||||||||||||
DOI | 10.5194/essd-16-1667-2024 | ||||||||||||
Abstract | Since the beginning of the industrial revolution, atmospheric carbon dioxide (CO2) concentrations have risen steadily and have induced a decrease of the averaged surface ocean pH by 0.1 units, corresponding to an increase in ocean acidity of about 30 %. In addition to ocean warming, ocean acidification poses a tremendous challenge to some marine organisms, especially calcifiers. The need for long-term oceanic observations of pH and temperature is a key element to assess the vulnerability of marine communities and ecosystems to these pressures. Nearshore productive environments, where a large majority of shellfish farming activities are conducted, are known to present pH levels as well as amplitudes of daily and seasonal variations that are much larger than those observed in the open ocean. Yet, to date, there are very few coastal observation sites where these parameters are measured simultaneously and at high frequency. To bridge this gap, an observation network was initiated in 2021 in the framework of the CocoriCO(2) project. Six sites were selected along the French Atlantic and Mediterranean coastlines based on their importance in terms of shellfish production and the presence of high- and low-frequency monitoring activities. At each site, autonomous pH sensors were deployed, both inside and outside shellfish production areas, next to high-frequency CTD (conductivity-temperature-depth) probes operated through two operating monitoring networks. pH sensors were set to an acquisition rate of 15 min, and discrete seawater samples were collected biweekly in order to control the quality of pH data (laboratory spectrophotometric measurements) as well as to measure total alkalinity and dissolved inorganic carbon concentrations for full characterization of the carbonate system. While this network has been up and running for more than 2 years, the acquired dataset has already revealed important differences in terms of pH variations between monitored sites related to the influence of diverse processes (freshwater inputs, tides, temperature, biological processes). Data are available at 10.17882/96982 (Petton et al., 2023a). |
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