Trajectories of nutrients concentrations and ratios in the French coastal ecosystems: 20 years of changes in relation with large-scale and local drivers

Lheureux, Arnaud; David, Valérie; Yolanda, Del Amo; Soudant, Dominique; Auby, Isabelle; Bozec, Yann; Conan, Pascal; Ganthy, Florian; Gérald, Grégori; Lefebvre, Alain; Aude, Leynart; Rimmelin-Maury, Peggy; Philippe, Souchu; Vincent, Vantrepote; Camille, Blondel; Cariou, Thierry; Crispi, Olivier; Cordier, Marie-Ange; Crouvoisier, Muriel; Vincent, Duquesne; Ferreira, Sophie; Garcia, Nicole; Laure, Gouriou; Emilie, Grosteffan; Yoann, Le Merrer; Méteigner, Claire; Rétho, Michaël; Marie-Pierre, Tournaire; Savoye, Nicolas

doi:10.1016/j.scitotenv.2022.159619

Cited by 7 publications

(3 citation statements)

References 80 publications

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“…Except for the Bay of Morlaix, the chosen study sites also belong to two existing low-frequency environmental networks (Fig. 1): the SOMLIT (Service d'Observation en Milieu LITtoral, INSU-CNRS; https://www.somlit.fr/, last access: 2 April 2024) and the Ifremer REPHY (Observation and Surveillance Network for Phytoplankton and Hydrology in coastal water; Belin et al, 2021), which have been contributing to long-term time series for more than 20 years (Lheureux et al, 2023) and providing crucial parameters (e.g., nutrient concentrations) necessary for data processing (see Sect. 2.3.1).…”

Section: Study Sites and Observation Strategymentioning

confidence: 99%

French coastal network for carbonate system monitoring: the CocoriCO₂ dataset

Petton,

Pernet,

Le Roy

et al. 2024

Earth Syst. Sci. Data

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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 CocoriCO2 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 https://doi.org/10.17882/96982 (Petton et al., 2023a).

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Section: Study Sites and Observation Strategymentioning

confidence: 99%

French coastal network for carbonate system monitoring: the CocoriCO₂ dataset

Petton,

Pernet,

Le Roy

et al. 2024

Earth Syst. Sci. Data

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“…In the context of global change, the number of studies that include meta-analytical combinations of environmental data increased at a fast pace in the past decades (e.g., Duarte et al, 2009;Harvey et al, 2013;Talarmin et al, 2016;McCrackin et al, 2017;Carstensen and Duarte, 2019;Lheureux et al, 2021;Lheureux et al, 2023). In these studies, it is assumed that the data were of similar quality and reliability, which is not necessarily true: measurement processes are all subject to systematic (i.e., bias) and random (i.e., variations) errors of various types, such as the choice of the method, ambient conditions, or the working practices of analysts (Taverniers et al, 2004;de Boer, 2016).…”

Section: Introductionmentioning

confidence: 99%

Data quality control considerations in multivariate environmental monitoring: experience of the French coastal network SOMLIT

et al. 2023

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IntroductionWhile crucial to ensuring the production of accurate and high-quality data—and to avoid erroneous conclusions—data quality control (QC) in environmental monitoring datasets is still poorly documented.MethodsWith a focus on annual inter-laboratory comparison (ILC) exercises performed in the context of the French coastal monitoring SOMLIT network, we share here a pragmatic approach to QC, which allows the calculation of systematic and random errors, measurement uncertainty, and individual performance. After an overview of the different QC actions applied to fulfill requirements for quality and competence, we report equipment, accommodation, design of the ILC exercises, and statistical methodology specially adapted to small environmental networks (<20 laboratories) and multivariate datasets. Finally, the expanded uncertainty of measurement for 20 environmental variables routinely measured by SOMLIT from discrete sampling—including Essential Ocean Variables—is provided.Results, Discussion, ConclusionThe examination of the temporal variations (2001–2021) in the repeatability, reproducibility, and trueness of the SOMLIT network over time confirms the essential role of ILC exercises as a tool for the continuous improvement of data quality in environmental monitoring datasets.

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“…Large amounts of N and P in coastal areas are reported to be primarily derived from agricultural activities (Huang et al, 2017; Lheureux et al, 2023; Li et al, 2019); it is therefore critical to identify the driving forces behind agricultural activities that affect nutrient losses from agricultural fields to the coast. Studies have suggested that the oversupply of chemical and organic fertilizers enhances nutrient runoff losses to coastal areas (An et al, 2022; Laurent et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Cropping system shifts enhanced nutrient yields under changing daily hydrological processes in a coastal watershed of Eastern China

Zhang

Yan

et al. 2023

Hydrological Processes

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Agricultural cropping systems in coastal areas of China have experienced significant shifts, and nitrogen (N) and phosphorus (P) losses via surface runoff from fields have considerably increased. However, it is unclear how changes in cropping systems coupled with rainfall-runoff affect nutrient losses in coastal areas. In this study, in-situ daily rainfall-runoff events in agricultural fields in the Dagu River watershed (a coastal area of Shandong Province, Southeastern China) were observed and the dissolved nutrient losses measured. The fields comprised three cropping systems-wheat-maize rotation (W-M), vegetable-maize rotation (V-M) and vegetable-vegetable rotation (V-V). The runoff yields of total dissolved nitrogen (TDN) and total dissolved phosphorus (TDP) in V-V (10.4 ± 0.8 kg N ha À1 year À1 and 3.90 ± 0.1 kg P ha À1 year À1 ) and V-M (6.52 ± 0.31 kg N ha À1 yr À1 and 2.12 ± 0.08 kg P ha À1 year À1 ) were significantly higher than those in W-M (1.51 ± 0.15 kg N ha À1 year À1 and 0.84 ± 0.08 kg P ha À1 year À1 ), and the nutrient export coefficients were 291-1271 and 146-489 kg ha À1 year À1 m runoff À1 for TDN and TDP, respectively. Remarkable shifts in cropping systems coupled with varied rainfall-runoff are dominant factors responsible for agricultural nutrient losses. TDN and TDP losses would increase by 70.0% and 59.8%, respectively, if the watershed traditional cropping system of W-M is completely replaced by V-V. The TDN and TDP losses would increase by 36.36%-46.97% under the SSP2-4.5 and SSP5-8.5 climate scenarios until 2100 with a 50% of the watershed area of traditional agricultural plantation converted to modern plantation. This study can enhance our understanding of the effects of cropping system changes coupled with varied rainfall-runoff on nutrient losses in coastal areas of China.

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Trajectories of nutrients concentrations and ratios in the French coastal ecosystems: 20 years of changes in relation with large-scale and local drivers

Cited by 7 publications

References 80 publications

French coastal network for carbonate system monitoring: the CocoriCO₂ dataset

French coastal network for carbonate system monitoring: the CocoriCO₂ dataset

Data quality control considerations in multivariate environmental monitoring: experience of the French coastal network SOMLIT

Cropping system shifts enhanced nutrient yields under changing daily hydrological processes in a coastal watershed of Eastern China

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Trajectories of nutrients concentrations and ratios in the French coastal ecosystems: 20 years of changes in relation with large-scale and local drivers

Cited by 7 publications

References 80 publications

French coastal network for carbonate system monitoring: the CocoriCO2 dataset

French coastal network for carbonate system monitoring: the CocoriCO2 dataset

Data quality control considerations in multivariate environmental monitoring: experience of the French coastal network SOMLIT

Cropping system shifts enhanced nutrient yields under changing daily hydrological processes in a coastal watershed of Eastern China

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Product

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French coastal network for carbonate system monitoring: the CocoriCO₂ dataset

French coastal network for carbonate system monitoring: the CocoriCO₂ dataset