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A process-based interpretation of the stable C and O isotope signals in the soil-plant-atmosphere continuum using the ecosystem model MuSICA

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HAL Id: hal-02803514

https://hal.inrae.fr/hal-02803514

Submitted on 5 Jun 2020

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A process-based interpretation of the stable C and O isotope signals in the soil-plant-atmosphere continuum

using the ecosystem model MuSICA

Jerome Ogee, Lisa Wingate

To cite this version:

Jerome Ogee, Lisa Wingate. A process-based interpretation of the stable C and O isotope signals in the soil-plant-atmosphere continuum using the ecosystem model MuSICA. COST Action ES0806 (’Stable Isotopes Biosphere-Atmosphere Exchange’) Final Conference, May 2013, Wroclaw, Poland.

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A process-based interpretation of the stable C and O isotope signals in the soil-plant-atmosphere continuum using the ecosystem model

MuSICA

Jérôme Ogée and Lisa Wingate INRA EPHYSE UR1263, Bordeaux, France Abstract

Carbon and oxygen stable isotope measurements are often performed in the field and at natural abundance in order to bring additional information on key variables regulating the CO2 and water cycles within terrestrial ecosystems (e.g. plant water-use efficiency, root water uptake depth…). For some applications, simple two-pool mixing models are enough to interpret such measurements. However, when more than two pools are considered, process- based isotope-enabled soil-plant-atmosphere transfer models are often required for unambiguous data interpretation. Here we will present several examples of such cases using the multi-layer, multi-leaf isotope-enabled model MuSICA (Ogée et al. 2003a; 2003b). We will illustrate how such a model can be used (1) to infer the representativeness of field chamber measurements on single branches (e.g. Wingate et al. 2010b), (2) to quantify the CO2-H2O oxygen isotope exchange rates below soil chambers (e.g. Wingate et al. 2010a) or (3) to interpret evaporation lines in the field.

References

Ogée J, Brunet Y, Loustau D, Berbigier P, Delzon S (2003a) MuSICA, a CO2, water and energy multilayer, multileaf pine forest model: evaluation from hourly to yearly time scales and sensitivity analysis. Global Change Biology, 9, 697–717.

Ogée J, Peylin P, Ciais P, et al. (2003b) Partitioning net ecosystem carbon exchange into net assimilation and respiration using 13CO2 measurements: a cost-effective sampling strategy.

Global Biogeochemical Cycles, 17, 1070.

Wingate L, Ogée J, Burlett R, Bosc A (2010a) Strong seasonal disequilibrium measured between the oxygen isotope signals of leaf and soil CO2 exchange. Global Change Biology, 16, 3048–3064.

Wingate L, Ogée J, Burlett R, et al. (2010b) Photosynthetic carbon isotope discrimination and its relationship to the carbon isotope signals of stem, soil and ecosystem respiration. The New phytologist, 188, 576–589.

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