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  • Lambert, T; Pierson-Wickmann, Anne-Catherine; Gruau, Gerard; Jaffrezic, Anne; Petitjean, Patrice; Thibault, Jean-Noel; Jeanneau, Laurent

    Biogeosciences 11 (11), 3043-3056. (2014), 2014
    Publication

    Monitoring the isotopic composition (delta C-13(DOC)) of dissolved organic carbon (DOC) during flood events can be helpful for locating DOC sources in catchments and quantifying their relative contribution to stream DOC flux. High-resolution (< hourly basis) delta C-13(DOC) data were obtained during six successive storm events occurring during the high-flow period in a small headwater catchment in western France. Intra-storm delta C-13(DOC) values exhibit a marked temporal variability, with some storms showing large variations (> 2 parts per thousand), and others yielding a very restricted range of values (< 1 parts per thousand). Comparison of these results with previously published data shows that the range of intra-storm delta C-13(DOC) values closely reflects the temporal and spatial variation in delta C-13(DOC) observed in the riparian soils of this catchment during the same period. Using delta C-13(DOC) data in conjunction with hydrometric monitoring and an end-member mixing approach (EMMA), we show that (i) > 80% of the stream DOC flux flows through the most superficial soil horizons of the riparian domain and (ii) the riparian soil DOC flux is comprised of DOC coming ultimately from both riparian and upland domains. Based on its delta C-13 fingerprint, we find that the upland DOC contribution decreases from ca.similar to 30% of the stream DOC flux at the beginning of the high-flow period to < 10% later in this period. Overall, upland domains contribute significantly to stream DOC export, but act as a size-limited reservoir, whereas soils in the wetland domains act as a near-infinite reservoir. Through this study, we show that delta C-13(DOC) provides a powerful tool for tracing DOC sources and DOC transport mechanisms in headwater catchments, having a high-resolution assessment of temporal and spatial variability.