Articles | Volume 10, issue 1
https://doi.org/10.5194/soil-10-109-2024
https://doi.org/10.5194/soil-10-109-2024
Original research article
 | 
13 Feb 2024
Original research article |  | 13 Feb 2024

Sensitivity of source sediment fingerprinting to tracer selection methods

Thomas Chalaux-Clergue, Rémi Bizeul, Pedro V. G. Batista, Núria Martínez-Carreras, J. Patrick Laceby, and Olivier Evrard

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Cited articles

Agnihotri, R., Kumar, R., Prasad, M. V. S. N., Sharma, C., Bhatia, S. K., and Arya, B. C.: Experimental Setup and Standardization of a Continuous Flow Stable Isotope Mass Spectrometer for Measuring Stable Isotopes of Carbon, Nitrogen and Sulfur in Environmental Samples, MAPAN, 29, 195–205, https://doi.org/10.1007/s12647-014-0099-8, 2014. a
Balsam, W., Ji, J., and Chen, J.: Climatic Interpretation of the Luochuan and Lingtai Loess Sections, China, Based on Changing Iron Oxide Mineralogy and Magnetic Susceptibility, Earth Planet. Sc. Lett., 223, 335–348, https://doi.org/10.1016/j.epsl.2004.04.023, 2004. a
Batista, P. V. G., Laceby, J. P., Silva, M. L. N., Tassinari, D., Bispo, D. F. A., Curi, N., Davies, J., and Quinton, J. N.: Using Pedological Knowledge to Improve Sediment Source Apportionment in Tropical Environments, J. Soils Sediments, 19, 3274–3289, https://doi.org/10.1007/s11368-018-2199-5, 2019. a
Batista, P. V. G., Laceby, J. P., and Evrard, O.: How to Evaluate Sediment Fingerprinting Source Apportionments, J. Soils Sediments, 22, 1315–1328, https://doi.org/10.1007/s11368-022-03157-4, 2022. a, b, c, d, e, f, g, h, i, j, k, l, m, n
Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A., and Wood, E. F.: Present and Future Köppen-Geiger Climate Classification Maps at 1-Km Resolution, Sci. Data, 5, 180214, https://doi.org/10.1038/sdata.2018.214, 2018. a
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Short summary
Sediment source fingerprinting is a relevant tool to support soil conservation and watershed management in the context of accelerated soil erosion. To quantify sediment source contribution, it requires the selection of relevant tracers. We compared the three-step method and the consensus method and found very contrasted trends. The divergences between virtual mixtures and sample prediction ranges highlight that virtual mixture statistics are not directly transferable to actual samples.