Stable calcium isotope speciation and calcium oxalate production within beech tree (Fagus sylvatica L.) organs

Schmitt, Anne‐Désirée; Borrelli, Natalia Lorena; Ertlen, Damien; Gangloff, Sophie; Chabaux, François; Osterrieth, Margarita Luisa

doi:10.1007/s10533-017-0411-0

Cited by 23 publications

(17 citation statements)

References 116 publications

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“…The amount of a given clay mineral precipitated at any step of the simulated reaction is calculated to maintain the chemical equilibrium from the moment it is reached in the geochemical reaction. The amount of clay precipitated depends on the solubility product (K) of the clay end-members (Tardy and Fritz, 1981). This multicomponent solid solution reproduces the impurity of the clay minerals formed during low-temperature waterrock interactions (Tardy and Fritz, 1981), and its composition varies over time, depending on the evolution of the water chemistry and the bedrock mineralogy (Ackerer et al, 2018).…”

Section: Hydrogeochemical Modelingmentioning

confidence: 87%

“…The amount of clay precipitated depends on the solubility product (K) of the clay end-members (Tardy and Fritz, 1981). This multicomponent solid solution reproduces the impurity of the clay minerals formed during low-temperature waterrock interactions (Tardy and Fritz, 1981), and its composition varies over time, depending on the evolution of the water chemistry and the bedrock mineralogy (Ackerer et al, 2018). For the secondary minerals other than clay minerals, the precipitation rates are derived from TST and described by a kinetic law (Eq.…”

Section: Hydrogeochemical Modelingmentioning

confidence: 99%

“…It is clear that a good knowledge of the water flow paths and of their seasonal variability is an important new step to better constrain the water transit times within catchments, and then to correctly understand the temporal fluctuations of the composition of waters. Modeling such variability of water flow paths and water geochemical composition would require further development of modeling approaches able to combine hydrological and geochemical processes (e.g., Steefel et al, 2005;Kirchner, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…For its part, the understanding of the hydrogeochemical functioning of the critical zone has been significantly advanced by the implementation of reactive-transport laws in geochemical modeling codes (Steefel et al, 2005;Lucas et al, 2010Goddéris et al, 2013;Li et al, 2017a). These developments allow a variety of processes to be considered, such as flow and transport processes, ion exchanges, biogeochemical reactions, and the interplay between primary mineral dissolution and secondary mineral precipitation (Moore et al, 2012;Lebedeva and Brantley, 2013;Ackerer et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…The combination allows the flow trajectories, the flow rates, the weathering reactions and the evolution of the water chemistry within a headwater system, the Strengbach catchment, to be simulated over time and space. This catchment is one of the reference observatories of the French critical zone network (OZCAR), where multidisciplinary studies, including hydrological, geochemical and geological investigations, have been performed since 1986 ("Observatoire Hydrogéochimique de l'Environnement", OHGE; http://ohge.unistra.fr, last access: 15 June 2020; El Gh 'Mari, 1995;Fichter et al, 1998;Viville et al, 2012;Gangloff et al, 2014Gangloff et al, , 2016Prunier et al, 2015;Pan et al, 2015;Ackerer et al, 2016Ackerer et al, , 2018Beaulieu et al, 2016;Chabaux et al, , 2019Schmitt et al, 2017Schmitt et al, , 2018Daval et al, 2018; see also Pierret et al, 2018, for an updated overview of the Strengbach watershed).…”

Section: Introductionmentioning

confidence: 99%

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Crossing hydrological and geochemical modeling to understand the spatiotemporal variability of water chemistry in a headwater catchment (Strengbach, France)

Ackerer

Jeannot

Delay

et al. 2020

Hydrol. Earth Syst. Sci.

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Abstract. Understanding the variability of the chemical composition of surface waters is a major issue for the scientific community. To date, the study of concentration–discharge relations has been intensively used to assess the spatiotemporal variability of the water chemistry at watershed scales. However, the lack of independent estimations of the water transit times within catchments limits the ability to model and predict the water chemistry with only geochemical approaches. In this study, a dimensionally reduced hydrological model coupling surface flow with subsurface flow (i.e., the Normally Integrated Hydrological Model, NIHM) has been used to constrain the distribution of the flow lines in a headwater catchment (Strengbach watershed, France). Then, hydrogeochemical simulations with the code KIRMAT (i.e., KInectic Reaction and MAss Transport) are performed to calculate the evolution of the water chemistry along the flow lines. Concentrations of dissolved silica (H4SiO4) and in basic cations (Na+, K+, Mg2+, and Ca2+) in the spring and piezometer waters are correctly reproduced with a simple integration along the flow lines. The seasonal variability of hydraulic conductivities along the slopes is a key process to understand the dynamics of flow lines and the changes of water transit times in the watershed. The covariation between flow velocities and active lengths of flow lines under changing hydrological conditions reduces the variability of water transit times and explains why transit times span much narrower variation ranges than the water discharges in the Strengbach catchment. These findings demonstrate that the general chemostatic behavior of the water chemistry is a direct consequence of the strong hydrological control of the water transit times within the catchment. Our results also show that a better knowledge of the relations between concentration and mean transit time (C–MTT relations) is an interesting new step to understand the diversity of C–Q shapes for chemical elements. The good match between the measured and modeled concentrations while respecting the water–rock interaction times provided by the hydrological simulations also shows that it is possible to capture the chemical composition of waters using simply determined reactive surfaces and experimental kinetic constants. The results of our simulations also strengthen the idea that the low surfaces calculated from the geometrical shapes of primary minerals are a good estimate of the reactive surfaces within the environment.

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Section: Hydrogeochemical Modelingmentioning

confidence: 87%

Section: Hydrogeochemical Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Crossing hydrological and geochemical modeling to understand the spatiotemporal variability of water chemistry in a headwater catchment (Strengbach, France)

Ackerer

Jeannot

Delay

et al. 2020

Hydrol. Earth Syst. Sci.

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Hydrogeological structure of a granitic mountain catchment inferred from multi‐method electrical resistivity datasets

Lajaunie,

Gance,

Sailhac

et al. 2023

Near Surface Geophysics

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Altered crystalline catchments are complex to study and model, as they present multi‐scale properties that control their hydrogeological behaviour and that are difficult to capture through a single geophysical imaging technique. Several volumes of interest must be sampled in order that both small‐scale (porosity, layering) and large‐scale (bedrock, weathering, faults) heterogeneities can be captured. We propose a geoelectrical model of the Strengbach catchment (Vosges Mountains, France), aiming at identifying the weathered structures and hydrogeological functioning of the aquifer. This is achieved through electrical resistivity tomography (ERT) and Controlled‐Source Audio‐Magnetotelluric (CSAMT) measurements and the use of appropriate measurement set‐ups. Meters‐scale shallow contrasts in the top soil, catchment‐scale shallow contrasts (top 30 m), and large‐scale vertical contrasts (up to 150 m) were resolved through this methodology. A structural interpretation is proposed, based on information provided by borehole measurements (gamma ray, optical images), analysis of sampled waters, and geological mapping. The limits at depth of the weathered and fractured granite, not detected by ERT, are detected by CSAMT. The analysis showed that the weathering state of the granite controls, at first order, the electrical resistivity signal. Shallow geoelectrical signal (first 30 m) is particularly driven by surface conductivity and hence by the clay content, whereas deep geoelectrical signal may arise from both the ionic content of pore waters and the clay content. A structural model is proposed and discussed. Geoelectrical contrasts revealed several qualities of weathered saprolite between the northern and the southern slopes. The inferred structural model and the distribution of weathered and unweathered crystalline units are considered for their respective effect on the hydrogeology, leading to the proposition of a new hydrogeological conceptual model of the catchment.

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Contribution of carbonates and oxalates to the calcium cycle in three beech temperate forest ecosystems with contrasting soil calcium availability

Turpault¹,

Calvaruso²,

Dincher³

et al. 2019

Biogeochemistry

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Stable calcium isotope speciation and calcium oxalate production within beech tree (Fagus sylvatica L.) organs

Cited by 23 publications

References 116 publications

Crossing hydrological and geochemical modeling to understand the spatiotemporal variability of water chemistry in a headwater catchment (Strengbach, France)

Crossing hydrological and geochemical modeling to understand the spatiotemporal variability of water chemistry in a headwater catchment (Strengbach, France)

Hydrogeological structure of a granitic mountain catchment inferred from multi‐method electrical resistivity datasets

Contribution of carbonates and oxalates to the calcium cycle in three beech temperate forest ecosystems with contrasting soil calcium availability

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