Articles | Volume 10, issue 1
https://doi.org/10.5194/soil-10-109-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-10-109-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Sensitivity of source sediment fingerprinting to tracer selection methods
Thomas Chalaux-Clergue
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), Université Paris-Saclay, UMR 8212 (CEA-CNRS-UVSQ), Gif-sur-Yvette, France
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), Université Paris-Saclay, UMR 8212 (CEA-CNRS-UVSQ), Gif-sur-Yvette, France
Pedro V. G. Batista
Water and Soil Resource Research, Institute for Geography, Universität Augsburg, Alter Postweg 118, 86159 Augsburg, Germany
Núria Martínez-Carreras
Environmental Research and Innovation Department (ERIN), Catchment and Eco-Hydrology Research Group (CAT), Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg
J. Patrick Laceby
Environment and Protected Areas, 3535 Research Rd NW, Calgary, Alberta, T2L 2K8, Canada
Olivier Evrard
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), Université Paris-Saclay, UMR 8212 (CEA-CNRS-UVSQ), Gif-sur-Yvette, France
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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
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
Bennett, N. D., Croke, B. F., Guariso, G., Guillaume, J. H., Hamilton, S. H., Jakeman, A. J., Marsili-Libelli, S., Newham, L. T., Norton, J. P., Perrin, C., Pierce, S. A., Robson, B., Seppelt, R., Voinov, A. A., Fath, B. D., and Andreassian, V.: Characterising Performance of Environmental Models, Environ. Model. Softw., 40, 1–20, https://doi.org/10.1016/j.envsoft.2012.09.011, 2013. a, b
Bing, H., Wu, Y., Liu, E., and Yang, X.: Assessment of Heavy Metal Enrichment and Its Human Impact in Lacustrine Sediments from Four Lakes in the Mid-Low Reaches of the Yangtze River, China, J. Environ. Sci., 25, 1300–1309, https://doi.org/10.1016/S1001-0742(12)60195-8, 2013. a
Blake, W. H., Walsh, R. P. D., Sayer, A. M., and Bidin, K.: Quantifying Fine-Sediment Sources in Primary and Selectively Logged Rainforest Catchments Using Geochemical Tracers, Water Air Soil Poll., 6, 615–623, https://doi.org/10.1007/s11267-006-9046-1, 2006. a
Brosinsky, A., Foerster, S., Segl, K., López-Tarazón, J. A., Piqué, G., and Bronstert, A.: Spectral Fingerprinting: Characterizing Suspended Sediment Sources by the Use of VNIR-SWIR Spectral Information, J. Soils Sediments, 14, 1965–1981, https://doi.org/10.1007/s11368-014-0927-z, 2014. a
Chalaux-Clergue, T. and Bizeul, R.: fingR: A Support for Sediment Source Fingerprinting Studies, Zenodo [code], https://doi.org/10.5281/zenodo.8293596, 2023. a, b
Chalaux-Clergue, T., Evrard, O., Durand, R., Caumon, A., Hayashi, S., Tsuji, H., Huon, S., Vaury, V., Wakiyama, Y., Nakao, A., Laceby, J. P., and Onda, Y.: Organic matter, geochemical and colorimetric properties of potential source material, target sediment and laboratory mixtures for conducting sediment fingerprinting approaches in the Mano Dam Reservoir (Hayama Lake) catchment, Fukushima Prefecture, Japan, Zenodo [data set], https://doi.org/10.5281/zenodo.7081094, 2022. a
Chalaux-Clergue, T., Foucher, A., Chaboche, P.-A., Hayashi, S., Tsuji, H., Wakiyama, Y., Huon, S., Cerdan, O., Vandromme, R., Nakao, A., and Evrard, O.: The impact of soil decontamination on radiocesium and sediment transfers in a catchment affected by the Fukushima nuclear accident, Japan, as revealed by reservoir sediment core analyses, in preparation, 2024. a
Chartin, C., Evrard, O., Onda, Y., Patin, J., Lefèvre, I., Ottlé, C., Ayrault, S., Lepage, H., and Bonté, P.: Tracking the Early Dispersion of Contaminated Sediment along Rivers Draining the Fukushima Radioactive Pollution Plume, Anthropocene, 1, 23–34, https://doi.org/10.1016/j.ancene.2013.07.001, 2013. a
Chartin, C., Evrard, O., Laceby, J. P., Onda, Y., Ottlé, C., Lefèvre, I., and Cerdan, O.: The Impact of Typhoons on Sediment Connectivity: Lessons Learnt from Contaminated Coastal Catchments of the Fukushima Prefecture (Japan): Typhoon Impact on Sediment Connectivity – Fukushima, Japan, Earth Surf. Proc. Land., 42, 306–317, https://doi.org/10.1002/esp.4056, 2017. a
Chen, D., Dai, W., Li, M., Wang, B., Zeng, Y., Ni, L., Fang, N., and Shi, Z.: Accuracy Verification of Optical Fingerprinting Methods in Sediment Tracing Study, Hydrol. Process., 37, e14870, https://doi.org/10.1002/hyp.14870, 2023. a
Collins, A. L. and Walling, D.: Selecting Fingerprint Properties for Discriminating Potential Suspended Sediment Sources in River Basins, J. Hydrol., 261, 218–244, https://doi.org/10.1016/S0022-1694(02)00011-2, 2002. a, b
Collins, A. L. and Walling, D. E.: Documenting Catchment Suspended Sediment Sources: Problems, Approaches and Prospects, Prog. Phys. Geogr., 28, 159–196, https://doi.org/10.1191/0309133304pp409ra, 2004. a
Collins, A. L., Walling, D., and Leeks, G.: Source Type Ascription for Fluvial Suspended Sediment Based on a Quantitative Composite Fingerprinting Technique, Catena, 29, 1–27, https://doi.org/10.1016/S0341-8162(96)00064-1, 1997a. a, b, c, d
Collins, A. L., Walling, D. E., and Leeks, G. J.: Fingerprinting the Origin of Fluvial Suspended Sediment in Larger River Basins: Combining Assessment of Spatial Provenance and Source Type, Geografiska Annaler: Series A, Phys. Geogr., 79, 239–254, https://doi.org/10.1111/j.0435-3676.1997.00020.x, 1997b. a, b, c, d, e
Collins, A. L., Walling, D., Webb, L., and King, P.: Apportioning Catchment Scale Sediment Sources Using a Modified Composite Fingerprinting Technique Incorporating Property Weightings and Prior Information, Geoderma, 155, 249–261, https://doi.org/10.1016/j.geoderma.2009.12.008, 2010. a, b
Collins, A. L., Williams, L., Zhang, Y., Marius, M., Dungait, J., Smallman, D., Dixon, E., Stringfellow, A., Sear, D., Jones, J., and Naden, P.: Catchment Source Contributions to the Sediment-Bound Organic Matter Degrading Salmonid Spawning Gravels in a Lowland River, Southern England, Sci. Total Environ., 456–457, 181–195, https://doi.org/10.1016/j.scitotenv.2013.03.093, 2013. a, b
Collins, A. L., Pulley, S., Foster, I., Gellis, A., Porto, P., and Horowitz, A.: Sediment Source Fingerprinting as an Aid to Catchment Management: A Review of the Current State of Knowledge and a Methodological Decision-Tree for End-Users, J. Environ. Manage., 194, 86–108, https://doi.org/10.1016/j.jenvman.2016.09.075, 2017. a, b
Collins, A. L., Blackwell, M., Boeckx, P., Chivers, C.-A., Emelko, M., Evrard, O., Foster, I., Gellis, A., Gholami, H., Granger, S., Harris, P., Horowitz, A. J., Laceby, J. P., Martinez-Carreras, N., Minella, J., Mol, L., Nosrati, K., Pulley, S., Silins, U., da Silva, Y. J., Stone, M., Tiecher, T., Upadhayay, H. R., and Zhang, Y.: Sediment Source Fingerprinting: Benchmarking Recent Outputs, Remaining Challenges and Emerging Themes, J. Soils Sediments, 20, 4160–4193, https://doi.org/10.1007/s11368-020-02755-4, 2020. a, b, c, d, e, f, g, h
Coplen, T. B., Kendall, C., and Hopple, J.: Comparison of Stable Isotope Reference Samples, Nature, 302, 236–238, https://doi.org/10.1038/302236a0, 1983. a
Cox, T., Laceby, J. P., Roth, T., and Alewell, C.: Less Is More? A Novel Method for Identifying and Evaluating Non-Informative Tracers in Sediment Source Mixing Models, J. Soils Sediments, 23, 3241–3261, https://doi.org/10.1007/s11368-023-03573-0, 2023. a, b
Dabrin, A., Bégorre, C., Bretier, M., Dugué, V., Masson, M., Le Bescond, C., Le Coz, J., and Coquery, M.: Reactivity of Particulate Element Concentrations: Apportionment Assessment of Suspended Particulate Matter Sources in the Upper Rhône River, France, J. Soils Sediments, 21, 1256–1274, https://doi.org/10.1007/s11368-020-02856-0, 2021. a, b
Debnath, A., Singh, P. K., and Chandra Sharma, Y.: Metallic Contamination of Global River Sediments and Latest Developments for Their Remediation, J. Environ. Manage., 298, 113378, https://doi.org/10.1016/j.jenvman.2021.113378, 2021. a
Debret, M., Sebag, D., Desmet, M., Balsam, W., Copard, Y., Mourier, B., Susperrigui, A.-S., Arnaud, F., Bentaleb, I., Chapron, E., Lallier-Vergès, E., and Winiarski, T.: Spectrocolorimetric Interpretation of Sedimentary Dynamics: The New “Q7/4 Diagram”, Earth-Sci. Rev., 109, 1–19, https://doi.org/10.1016/j.earscirev.2011.07.002, 2011. a, b, c, d
Evrard, O., Laceby, J. P., Ficetola, G. F., Gielly, L., Huon, S., Lefèvre, I., Onda, Y., and Poulenard, J.: Environmental DNA Provides Information on Sediment Sources: A Study in Catchments Affected by Fukushima Radioactive Fallout, Sci. Total Environ., 665, 873–881, https://doi.org/10.1016/j.scitotenv.2019.02.191, 2019. a
Evrard, O., Chaboche, P.-A., Ramon, R., Foucher, A., and Laceby, J. P.: A Global Review of Sediment Source Fingerprinting Research Incorporating Fallout Radiocesium (137Cs), Geomorphology, 362, 107103, https://doi.org/10.1016/j.geomorph.2020.107103, 2020a. a
Evrard, O., Durand, R., Nakao, A., Laceby, P. J., Lefèvre, I., Wakiyama, Y., Hayashi, S., Asanuma-Brice, C., and Cerdan, O.: Impact of the 2019 Typhoons on Sediment Source Contributions and Radiocesium Concentrations in Rivers Draining the Fukushima Radioactive Plume, Japan, C.R. Géosci., 352, 199–211, https://doi.org/10.5802/crgeos.42, 2020b. a, b
Evrard, O., Batista, P. V. G., Company, J., Dabrin, A., Foucher, A., Frankl, A., García-Comendador, J., Huguet, A., Lake, N., Lizaga, I., Martínez-Carreras, N., Navratil, O., Pignol, C., and Sellier, V.: Improving the Design and Implementation of Sediment Fingerprinting Studies: Summary and Outcomes of the TRACING 2021 Scientific School, J. Soils Sediments, 22, 1648–1661, https://doi.org/10.1007/s11368-022-03203-1, 2022. a, b, c, d, e
Farias Amorim, F., Jacques Agra Bezerra da Silva, Y., Cabral Nascimento, R., Jacques Agra Bezerra da Silva, Y., Tiecher, T., Williams Araújo do Nascimento, C., Paolo Gomes Minella, J., Zhang, Y., Ram Upadhayay, H., Pulley, S., and Collins, A. L.: Sediment Source Apportionment Using Optical Property Composite Signatures in a Rural Catchment, Brazil, Catena, 202, 105208, https://doi.org/10.1016/j.catena.2021.105208, 2021. a, b
García-Comendador, J., Martínez-Carreras, N., Fortesa, J., Company, J., Borràs, A., Palacio, E., and Estrany, J.: In-Channel Alterations of Soil Properties Used as Tracers in Sediment Fingerprinting Studies, Catena, 225, 107036, https://doi.org/10.1016/j.catena.2023.107036, 2023. a, b, c, d
Gaspar, L., Blake, W. H., Smith, H. G., Lizaga, I., and Navas, A.: Testing the Sensitivity of a Multivariate Mixing Model Using Geochemical Fingerprints with Artificial Mixtures, Geoderma, 337, 498–510, https://doi.org/10.1016/j.geoderma.2018.10.005, 2019. a, b, c
Gateuille, D., Owens, P. N., Petticrew, E. L., Booth, B. P., French, T. D., and Déry, S. J.: Determining Contemporary and Historical Sediment Sources in a Large Drainage Basin Impacted by Cumulative Effects: The Regulated Nechako River, British Columbia, Canada, J. Soils Sediments, 19, 3357–3373, https://doi.org/10.1007/s11368-019-02299-2, 2019. a
Gellis, A. and Gorman Sanisaca, L.: Sediment Fingerprinting to Delineate Sources of Sediment in the Agricultural and Forested Smith Creek Watershed, Virginia, USA, JAWRA J. Am. Water Resour. As., 54, 1197–1221, https://doi.org/10.1111/1752-1688.12680, 2018. a, b
Gellis, A. C. and Noe, G. B.: Sediment Source Analysis in the Linganore Creek Watershed, Maryland, USA, Using the Sediment Fingerprinting Approach: 2008 to 2010, J. Soils Sediments, 13, 1735–1753, https://doi.org/10.1007/s11368-013-0771-6, 2013. a, b, c
Gellis, A. C. and Walling, D. E.: Sediment Source Fingerprinting (Tracing) and Sediment Budgets as Tools in Targeting River and Watershed Restoration Programs, in: Geophysical Monograph Series, edited by: Simon, A., Bennett, S. J., and Castro, J. M., 263–291, American Geophysical Union, Washington, D.C., ISBN 978-1-118-66667-8, https://doi.org/10.1029/2010GM000960, 2013. a
Gibbs, M. M.: Identifying Source Soils in Contemporary Estuarine Sediments: A New Compound-Specific Isotope Method, Estuar. Coast., 31, 344–359, https://doi.org/10.1007/s12237-007-9012-9, 2008. a
Girardin, C. and Mariotti, A.: Analyse isotopique du 13C en abondance naturelle dans le carbone organique: un système automatique avec robot préparateur, Cahiers ORSTOM, Serie Pedologie, 26, 371–380, 1991. a
Haddadchi, A., Olley, J., and Laceby, P.: Accuracy of Mixing Models in Predicting Sediment Source Contributions, Sci. Total Environ., 497–498, 139–152, https://doi.org/10.1016/j.scitotenv.2014.07.105, 2014. a
Hao, Q., Oldfield, F., Bloemendal, J., Torrent, J., and Guo, Z.: The Record of Changing Hematite and Goethite Accumulation over the Past 22 Myr on the Chinese Loess Plateau from Magnetic Measurements and Diffuse Reflectance Spectroscopy, J. Geophys. Res., 114, B12101, https://doi.org/10.1029/2009JB006604, 2009. a
He, Q. and Walling, D.: Interpreting Particle Size Effects in the Adsorption of 137Cs and Unsupported 210Pb by Mineral Soils and Sediments, J. Environ. Radioactiv., 30, 117–137, https://doi.org/10.1016/0265-931X(96)89275-7, 1996. a, b
Hollander, M., Wolfe, D. A., and Chicken, E.: Nonparametric Statistical Methods, John Wiley & Sons, https://doi.org/10.1002/9781119196037, 2013. a, b
Horowitze, A. J.: A Primer on Sediment-Trace Element Chemistry, Vol. 2, Lewis Publishers Chelsea, https://doi.org/10.3133/ofr9176, 1991. a
Huangfu, Y., Essington, M. E., Hawkins, S. A., Walker, F. R., Schwartz, J. S., and Layton, A. C.: Testing the Sediment Fingerprinting Technique Using the SIAR Model with Artificial Sediment Mixtures, J. Soils Sediments, 20, 1771–1781, https://doi.org/10.1007/s11368-019-02545-7, 2020. a
Huon, S., Hayashi, S., Laceby, J. P., Tsuji, H., Onda, Y., and Evrard, O.: Source Dynamics of Radiocesium-Contaminated Particulate Matter Deposited in an Agricultural Water Reservoir after the Fukushima Nuclear Accident, Sci. Total Environ., 612, 1079–1090, https://doi.org/10.1016/j.scitotenv.2017.07.205, 2018. a, b, c, d
Issaka, S. and Ashraf, M. A.: Impact of Soil Erosion and Degradation on Water Quality: A Review, Geology, Ecology, and Landscapes, 1, 1–11, https://doi.org/10.1080/24749508.2017.1301053, 2017. a
JAXA: High-Resolution Land-Use and Land-Cover Map of Japan [2006–2011] (Ver. 16.09; 10-m Resolution; 12 Categories), https://www.eorc.jaxa.jp/ALOS/en/dataset/lulc/lulc_jpn_e.htm (last access: 9 February 2024), 2016. a
JAXA: High-Resolution Land-Use and Land-Cover Map of Japan [2014–2016] (Ver. 18.03; 30-m Resolution; 12 Categories), https://www.eorc.jaxa.jp/ALOS/en/dataset/lulc/lulc_v1803_e.htm (last access: 9 February 2024), 2018. a
JAXA: High-Resolution Land-Use and Land-Cover Map of Japan [2018–2020] (Ver. 21.11; 10-m Resolution; 12 Categories), https://www.eorc.jaxa.jp/ALOS/en/dataset/lulc/lulc_v2111_e.htm (last access: 9 February 2024), 2022. a
Jordan, A., Krüger, F., and Lerch, S.: Evaluating Probabilistic Forecasts with scoringRules, J. Stat. Softw., 90, 1–37, https://doi.org/10.18637/jss.v090.i12, 2019. a, b
Kato, H., Onda, Y., Gao, X., Sanada, Y., and Saito, K.: Reconstruction of a Fukushima Accident-Derived Radiocesium Fallout Map for Environmental Transfer Studies, J. Environ. Radioactiv., 210, 105996, https://doi.org/10.1016/j.jenvrad.2019.105996, 2019. a
Kemp, P., Sear, D., Collins, A., Naden, P., and Jones, I.: The Impacts of Fine Sediment on Riverine Fish, Hydrol. Process., 25, 1800–1821, https://doi.org/10.1002/hyp.7940, 2011. a
Koiter, A., Owens, P., Petticrew, E., and Lobb, D.: The Behavioural Characteristics of Sediment Properties and Their Implications for Sediment Fingerprinting as an Approach for Identifying Sediment Sources in River Basins, Earth-Sci. Rev., 125, 24–42, https://doi.org/10.1016/j.earscirev.2013.05.009, 2013. a, b, c, d
Koiter, A. J., Owens, P. N., Petticrew, E. L., and Lobb, D. A.: Assessment of Particle Size and Organic Matter Correction Factors in Sediment Source Fingerprinting Investigations: An Example of Two Contrasting Watersheds in Canada, Geoderma, 325, 195–207, https://doi.org/10.1016/j.geoderma.2018.02.044, 2018. a, b, c, d
Kosmas, C. S., Curi, N., Bryant, R. B., and Franzmeier, D. P.: Characterization of Iron Oxide Minerals by Second-Derivative Visible Spectroscopy, Soil Sci. Soc. Am. J., 48, 401–405, https://doi.org/10.2136/sssaj1984.03615995004800020036x, 1984. a
Laceby, J. P. and Olley, J.: An Examination of Geochemical Modelling Approaches to Tracing Sediment Sources Incorporating Distribution Mixing and Elemental Correlations, Hydrol. Process., 29, 1669–1685, https://doi.org/10.1002/hyp.10287, 2015. a, b, c
Laceby, J. P., Chartin, C., Evrard, O., Onda, Y., Garcia-Sanchez, L., and Cerdan, O.: Rainfall erosivity in catchments contaminated with fallout from the Fukushima Daiichi nuclear power plant accident, Hydrol. Earth Syst. Sci., 20, 2467–2482, https://doi.org/10.5194/hess-20-2467-2016, 2016a. a, b, c
Laceby, J. P., Huon, S., Onda, Y., Vaury, V., and Evrard, O.: Do Forests Represent a Long-Term Source of Contaminated Particulate Matter in the Fukushima Prefecture?, J. Environ. Manage., 183, 742–753, https://doi.org/10.1016/j.jenvman.2016.09.020, 2016b. a, b
Laceby, J. P., Evrard, O., Smith, H. G., Blake, W. H., Olley, J. M., Minella, J. P., and Owens, P. N.: The Challenges and Opportunities of Addressing Particle Size Effects in Sediment Source Fingerprinting: A Review, Earth-Sci. Rev., 169, 85–103, https://doi.org/10.1016/j.earscirev.2017.04.009, 2017. a, b, c, d
Laceby, J. P., Batista, P., Taube, N., Kruk, M., Chung, C., Evrard, O., Orwin, J., and Kerr, J.: Tracing Total and Dissolved Material in a Western Canadian Basin Using Quality Control Samples to Guide the Selection of Fingerprinting Parameters for Modelling, Catena, 200, 105095, https://doi.org/10.1016/j.catena.2020.105095, 2021. a, b
Laio, F. and Tamea, S.: Verification tools for probabilistic forecasts of continuous hydrological variables, Hydrol. Earth Syst. Sci., 11, 1267–1277, https://doi.org/10.5194/hess-11-1267-2007, 2007. a
Lal, R.: Soil Erosion Impact on Agronomic Productivity and Environment Quality, CRC Cr. Rev. Plant Sci., 17, 319–464, https://doi.org/10.1080/07352689891304249, 1998. a, b
Lal, R.: Soil Degradation by Erosion, Land Degrad. Dev., 12, 519–539, https://doi.org/10.1002/ldr.472, 2001. a
Lal, R.: Accelerated Soil Erosion as a Source of Atmospheric CO2, Soil Till. Res., 188, 35–40, https://doi.org/10.1016/j.still.2018.02.001, 2019. a
Lamb, A. L., Wilson, G. P., and Leng, M. J.: A Review of Coastal Palaeoclimate and Relative Sea-Level Reconstructions Using δ13C and Ratios in Organic Material, Earth-Sci. Rev., 75, 29–57, https://doi.org/10.1016/j.earscirev.2005.10.003, 2006. a, b, c
Latorre, B., Lizaga, I., Gaspar, L., and Navas, A.: A Novel Method for Analysing Consistency and Unravelling Multiple Solutions in Sediment Fingerprinting, Sci. Total Environ., 789, 147804, https://doi.org/10.1016/j.scitotenv.2021.147804, 2021. a
Li, Z. and Fang, H.: Impacts of Climate Change on Water Erosion: A Review, Earth-Sci. Rev., 163, 94–117, https://doi.org/10.1016/j.earscirev.2016.10.004, 2016. a
Lizaga, I., Gaspar, L., Blake, W. H., Latorre, B., and Navas, A.: Fingerprinting Changes of Source Apportionments from Mixed Land Uses in Stream Sediments before and after an Exceptional Rainstorm Event, Geomorphology, 341, 216–229, https://doi.org/10.1016/j.geomorph.2019.05.015, 2019. a
Lizaga, I., Latorre, B., Gaspar, L., and Navas, A.: fingerPro: Sediment Source Fingerprinting, Github [code], https://github.com/eead-csic-eesa/fingerPro (last access: 9 February 2024), 2022. a
Loughran, R., Campbell, B., and Walling, D.: Soil Erosion and Sedimentation Indicated by Caesium 137: Jackmoor Brook Catchment, Devon, England, Catena, 14, 201–212, https://doi.org/10.1016/S0341-8162(87)80018-8, 1987. a, b
Martínez-Carreras, N., Krein, A., Udelhoven, T., Gallart, F., Iffly, J. F., Hoffmann, L., Pfister, L., and Walling, D. E.: A Rapid Spectral-Reflectance-Based Fingerprinting Approach for Documenting Suspended Sediment Sources during Storm Runoff Events, J. Soils Sediments, 10, 400–413, https://doi.org/10.1007/s11368-009-0162-1, 2010. a, b, c
Matheson, J. E. and Winkler, R. L.: Scoring Rules for Continuous Probability Distributions, Manage. Sci., 22, 1087–1096, https://doi.org/10.1287/mnsc.22.10.1087, 1976. a, b
Meybeck, M. and Helmer, R.: The Quality of Rivers: From Pristine Stage to Global Pollution, Palaeogeogr. Palaeocl., 75, 283–309, https://doi.org/10.1016/0031-0182(89)90191-0, 1989. a, b, c
Minella, J. P., Walling, D. E., and Merten, G. H.: Combining Sediment Source Tracing Techniques with Traditional Monitoring to Assess the Impact of Improved Land Management on Catchment Sediment Yields, J. Hydrology, 348, 546–563, https://doi.org/10.1016/j.jhydrol.2007.10.026, 2008. a
Mingus, K. A., Liang, X., Massoudieh, A., and Jaisi, D. P.: Stable Isotopes and Bayesian Modeling Methods of Tracking Sources and Differentiating Bioavailable and Recalcitrant Phosphorus Pools in Suspended Particulate Matter, Environ. Sci. Technol., 53, 69–76, https://doi.org/10.1021/acs.est.8b05057, 2019. a
Konica Minolta: QCM-S100w SpectraMagic NX, Konica Minolta [software], https://www.konicaminolta.com/instruments/download/software/color/smnx/ (last access: 9 February 2024), 2022. a
Montgomery, D. R.: Soil Erosion and Agricultural Sustainability, P. Natl. Acad. Sci. USA, 104, 13268–13272, https://doi.org/10.1073/pnas.0611508104, 2007. a
Mukundan, R., Radcliffe, D. E., Ritchie, J. C., Risse, L. M., and McKinley, R. A.: Sediment Fingerprinting to Determine the Source of Suspended Sediment in a Southern Piedmont Stream, J. Environ. Qual., 39, 1328–1337, https://doi.org/10.2134/jeq2009.0405, 2010. a
Mukundan, R., Walling, D. E., Gellis, A. C., Slattery, M. C., and Radcliffe, D. E.: Sediment Source Fingerprinting: Transforming From a Research Tool to a Management Tool, JAWRA J. Am. Water Resour. As., 48, 1241–1257, https://doi.org/10.1111/j.1752-1688.2012.00685.x, 2012. a
Nakao, A., Ogasawara, S., Sano, O., Ito, T., and Yanai, J.: Radiocesium Sorption in Relation to Clay Mineralogy of Paddy Soils in Fukushima, Japan, Sci. Total Environ., 468–469, 523–529, https://doi.org/10.1016/j.scitotenv.2013.08.062, 2014. a
NARO: Comprehensive soil map of agricultural land at 1 : 50,000 scale (Prefecture and National), National agriculture and Food Research Organization [data set], https://soil-inventory.rad.naro.go.jp/download5.html (last access: 9 February 2024), 2011. a
Nosrati, K., Govers, G., Semmens, B. X., and Ward, E. J.: A Mixing Model to Incorporate Uncertainty in Sediment Fingerprinting, Geoderma, 217–218, 173–180, https://doi.org/10.1016/j.geoderma.2013.12.002, 2014. a
Nosrati, K., Mohammadi-Raigani, Z., Haddadchi, A., and Collins, A. L.: Elucidating Intra-Storm Variations in Suspended Sediment Sources Using a Bayesian Fingerprinting Approach, J. Hydrol., 596, 126115, https://doi.org/10.1016/j.jhydrol.2021.126115, 2021. a, b
Obara, H., Ohkura, T., Takata, Y., Kohyama, K., Maejima, Y., and Hamazaki, T.: Comprehensive soil classification system of Japan first approximation, Nogyo Kankyo Gijutsu Kenkyusho Hokoku [Bulletin of National Institute for Agro-Environmental Sciences], 3–73, 2011. a
Obara, H., Maejima, Y., Kohyama, K., Ohkura, T., and Takata, Y.: Outline of the Comprehensive Soil Classification System of Japan – First Approximation, JARQ-Jpn. Agr. Res. Q., 49, 217–226, https://doi.org/10.6090/jarq.49.217, 2015. a
OCC: Soil Is a Non-Renewable Resource, Tech. rep., Food and Agriculture Organization of the United Nations, 2015. a
Olson, K. R., Al-Kaisi, M., Lal, R., and Cihacek, L.: Impact of Soil Erosion on Soil Organic Carbon Stocks, J. Soil Water Conserv., 71, 61A–67A, https://doi.org/10.2489/jswc.71.3.61A, 2016. a
Owens, P., Blake, W., Gaspar, L., Gateuille, D., Koiter, A., Lobb, D., Petticrew, E., Reiffarth, D., Smith, H., and Woodward, J.: Fingerprinting and Tracing the Sources of Soils and Sediments: Earth and Ocean Science, Geoarchaeological, Forensic, and Human Health Applications, Earth-Sci. Rev., 162, 1–23, https://doi.org/10.1016/j.earscirev.2016.08.012, 2016. a
Palazón, L., Latorre, B., Gaspar, L., Blake, W. H., Smith, H. G., and Navas, A.: Comparing Catchment Sediment Fingerprinting Procedures Using an Auto-Evaluation Approach with Virtual Sample Mixtures, Sci. Total Environ., 532, 456–466, https://doi.org/10.1016/j.scitotenv.2015.05.003, 2015. a, b, c, d
Pennock, D.: Soil Erosion: The Greatest Challenge for Sustainable Soil Management, Food and Agriculture Organization of the United Nations, ISBN 978-92-5-131426-5, 2019. a
Phillips, I. R. and Greenway, M.: Changes in Water-soluble and Exchangeable Ions, Cation Exchange Capacity, and Phosphorusmax in Soils under Alternating Waterlogged and Drying Conditions, Commun. Soil Sci. Plan., 29, 51–65, https://doi.org/10.1080/00103629809369928, 1998. a, b, c
Pimentel, D.: Soil Erosion: A Food and Environmental Threat, Environ. Dev. Sustain., 8, 119–137, https://doi.org/10.1007/s10668-005-1262-8, 2006. a
Pimstein, A., Notesco, G., and Ben-Dor, E.: Performance of Three Identical Spectrometers in Retrieving Soil Reflectance under Laboratory Conditions, Soil Sci. Soc. Am. J., 75, 746–759, https://doi.org/10.2136/sssaj2010.0174, 2011. a
Poesen, J.: Soil Erosion in the Anthropocene: Research Needs: Soil Erosion in the Anthropocene, Earth Surf. Proc. Land., 43, 64–84, https://doi.org/10.1002/esp.4250, 2018. a
QGIS Development Team: QGIS Geographic Information System, Open Source Geospatial Foundation [software], ver. 3.26.0-Buenos Aires, https://www.qgis.org/fr/site/ (last access: 9 February 2024), 2022. a
RStudio Team: RStudio: Integrated Development Environment for R, RStudio [software], ver. 2022.7.1.554, http://www.rstudio.com/ (last access: 9 February 2024), 2022. a
R Team: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, [software], ver. 4.1.2, https://www.R-project.org/ (last access: 9 February 2024), 2021. a
Russi, T., Packard, A., Feeley, R., and Frenklach, M.: Sensitivity Analysis of Uncertainty in Model Prediction, J. Phys. Chem. A, 112, 2579–2588, https://doi.org/10.1021/jp076861c, 2008. a
Saito, T., Makino, H., and Tanaka, S.: Geochemical and Grain-Size Distribution of Radioactive and Stable Cesium in Fukushima Soils: Implications for Their Long-Term Behavior, J. Environ. Radioactiv., 138, 11–18, https://doi.org/10.1016/j.jenvrad.2014.07.025, 2014. a
Sawhney, B. L.: Selective Sorption and Fixation of Cations by Clay Minerals: A Review, Clay. Clay Miner., 20, 93–100, https://doi.org/10.1346/CCMN.1972.0200208, 1972. a, b
Scheinost, A. C., Chavernas, A., Barrón, V., and Torrent, J.: Use and Limitations of Second-Derivative Diffuse Reflectance Spectroscopy in the Visible to Near-Infrared Range to Identify and Quantify Fe Oxide Minerals in Soils, Clay. Clay Miner., 46, 528–536, https://doi.org/10.1346/CCMN.1998.0460506, 1998. a
Sellier, V., Navratil, O., Laceby, J. P., Allenbach, M., Lefèvre, I., and Evrard, O.: Investigating the Use of Fallout and Geogenic Radionuclides as Potential Tracing Properties to Quantify the Sources of Suspended Sediment in a Mining Catchment in New Caledonia, South Pacific, J. Soils Sediments, 20, 1112–1128, https://doi.org/10.1007/s11368-019-02447-8, 2020. a, b, c
Sellier, V., Navratil, O., Laceby, J. P., Legout, C., Foucher, A., Allenbach, M., Lefèvre, I., and Evrard, O.: Combining colour parameters and geochemical tracers to improve sediment source discrimination in a mining catchment (New Caledonia, South Pacific Islands), SOIL, 7, 743–766, https://doi.org/10.5194/soil-7-743-2021, 2021. a, b
Sherriff, S. C., Franks, S. W., Rowan, J. S., Fenton, O., and Ó'hUallacháin, D.: Uncertainty-Based Assessment of Tracer Selection, Tracer Non-Conservativeness and Multiple Solutions in Sediment Fingerprinting Using Synthetic and Field Data, J. Soils Sediments, 15, 2101–2116, https://doi.org/10.1007/s11368-015-1123-5, 2015. a, b, c, d, e, f
Small, I. F., Rowan, J. S., and Franks, S. W.: Quantitative Sediment Fingerprinting Using a Bayesian Uncertainty Estimation Framework, Function and Management Implications of Fluvial Sedimentary System, International Association of Hydrological Sciences, Publication, 276, 443–450, 2002. a
Small, I. F., Rowan, J. S., Franks, S. W., Wyatt, A., and Duck, R. W.: Bayesian Sediment Fingerprinting Provides a Robust Tool for Environmental Forensic Geoscience Applications, Geol. Soc. Lond. Spec. Publ., 232, 207–213, https://doi.org/10.1144/GSL.SP.2004.232.01.19, 2004. a
Smith, H. G. and Blake, W. H.: Sediment Fingerprinting in Agricultural Catchments: A Critical Re-Examination of Source Discrimination and Data Corrections, Geomorphology, 204, 177–191, https://doi.org/10.1016/j.geomorph.2013.08.003, 2014. a, b
Smith, H. G., Karam, D. S., and Lennard, A. T.: Evaluating Tracer Selection for Catchment Sediment Fingerprinting, J. Soils Sediments, 18, 3005–3019, https://doi.org/10.1007/s11368-018-1990-7, 2018. a, b, c, d
Soriano-Disla, J. M., Janik, L. J., Viscarra Rossel, R. A., Macdonald, L. M., and McLaughlin, M. J.: The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties, Appl. Spectrosc. Rev., 49, 139–186, https://doi.org/10.1080/05704928.2013.811081, 2014. a
Stevens, A. and Ramirez-Lopez, L.: An Introduction to the Prospectr Package, CRAN [code], https://cran.r-project.org/web/packages/prospectr/vignettes/prospectr.html (last access: 9 February 2024), 2022. a
Stock, B. C., Semmens, B. X., Ward, E. J., Parnell, A. C., and Phillips, D. L.: MixSIAR: Bayesian Mixing Models in R, Zenodo [code], https://doi.org/10.5281/zenodo.1209993, 2020. a
Stock, B. C., Semmens, B. X., Ward, E. J., Parnell, A. C., and Phillips, D. L.: JAGS: Bayesian Mixing Models in R, Zenodo [code], https://doi.org/10.5281/zenodo.1209993, 2022. a
Summers, D., Lewis, M., Ostendorf, B., and Chittleborough, D.: Visible Near-Infrared Reflectance Spectroscopy as a Predictive Indicator of Soil Properties, Ecol. Indic., 11, 123–131, https://doi.org/10.1016/j.ecolind.2009.05.001, 2011. a, b
Terashima, S., Imai, N., Taniguchi, M., Okai, T., and Nishimura, A.: The Preparation and Preliminary Characterisation of Four New Geological Survey of Japan Geochemical Reference Materials: Soils, JSO-1 and JSO-2; and Marine Sediments, JMS-1 and JMS-2, Geostand. Newslett., 26, 85–94, https://doi.org/10.1111/j.1751-908X.2002.tb00626.x, 2002. a
Tiecher, T., Caner, L., Minella, J. P. G., and dos Santos, D. R.: Combining Visible-Based-Color Parameters and Geochemical Tracers to Improve Sediment Source Discrimination and Apportionment, Sci. Total Environ., 527–528, 135–149, https://doi.org/10.1016/j.scitotenv.2015.04.103, 2015. a, b, c
Tiecher, T., Moura-Bueno, J. M., Caner, L., Minella, J. P., Evrard, O., Ramon, R., Naibo, G., Barros, C. A., Silva, Y. J., Amorim, F. F., and Rheinheimer, D. S.: Improving the Quantification of Sediment Source Contributions Using Different Mathematical Models and Spectral Preprocessing Techniques for Individual or Combined Spectra of Ultraviolet–Visible, near- and Middle-Infrared Spectroscopy, Geoderma, 384, 114815, https://doi.org/10.1016/j.geoderma.2020.114815, 2021. a
Torrent, J., Liu, Q., Bloemendal, J., and Barrón, V.: Magnetic Enhancement and Iron Oxides in the Upper Luochuan Loess-Paleosol Sequence, Chinese Loess Plateau, Soil Sci. Soc. Am. J., 71, 1570–1578, https://doi.org/10.2136/sssaj2006.0328, 2007. a
Vale, S., Swales, A., Smith, H. G., Olsen, G., and Woodward, B.: Impacts of Tracer Type, Tracer Selection, and Source Dominance on Source Apportionment with Sediment Fingerprinting, Sci. Total Environ., 831, 154832, https://doi.org/10.1016/j.scitotenv.2022.154832, 2022. a
Viparelli, E., Wesley Lauer, J., Belmont, P., and Parker, G.: A Numerical Model to Develop Long-Term Sediment Budgets Using Isotopic Sediment Fingerprints, Comput. Geosci., 53, 114–122, https://doi.org/10.1016/j.cageo.2011.10.003, 2013. a
Viscarra Rossel, R., Minasny, B., Roudier, P., and McBratney, A.: Colour Space Models for Soil Science, Geoderma, 133, 320–337, https://doi.org/10.1016/j.geoderma.2005.07.017, 2006. a
Wadoux, A. M. J.-C., Malone, B. P., Minasny, B., Fajardo, M., and McBratney, A. B.: Soil Spectral Inference with R: Analysing Digital Soil Spectra Using the R Programming Environment, Progress in Soil Science, Springer Cham, Springer Nature, https://doi.org/10.1007/978-3-030-64896-1, 2021. a
Walden, J., Slattery, M., and Burt, T.: Use of Mineral Magnetic Measurements to Fingerprint Suspended Sediment Sources: Approaches and Techniques for Data Analysis, J. Hydrol., 202, 353–372, https://doi.org/10.1016/S0022-1694(97)00078-4, 1997. a
Wall, G. J. and Wilding, L. P.: Mineralogy and Related Parameters of Fluvial Suspended Sediments in Northwestern Ohio, J. Environ. Qual., 5, 168–173, https://doi.org/10.2134/jeq1976.00472425000500020012x, 1976. a, b
Walling, D. E. and Woodward, J.: Use of Radiometric Fingerprints to Derive Information on Suspended Sediment Sources, Erosion and sediment transport monitoring programmes in river basins, August 1992, Proceedings of the Oslo Symposium, 210, 153–164, 1992. a
Walling, D. E., Owens, P. N., Waterfall, B. D., Leeks, G. J., and Wass, P. D.: The Particle Size Characteristics of Fluvial Suspended Sediment in the Humber and Tweed Catchments, UK, Sci. Total Environ., 251–252, 205–222, https://doi.org/10.1016/S0048-9697(00)00384-3, 2000. a
Wei, P., Lu, Z., and Song, J.: Variable Importance Analysis: A Comprehensive Review, Reliab. Eng. Syst. Safe., 142, 399–432, https://doi.org/10.1016/j.ress.2015.05.018, 2015. a
Weihs, C., Ligges, U., Luebke, K., Raabe, N., Szepannek, G., Zentgraf, M., and Meyer, D.: klaR Analyzing German Business Cycles, Fakultät Statistik der TU Dortmund [code], ver. 1.7-2, https://statistik.tu-dortmund.de/ (last access: 9 February 2024), 2023. a
Whitaker, A. C., Chapasa, S. N., Sagras, C., Theogene, U., Veremu, R., and Sugiyama, H.: Estimation of Baseflow Recession Constant and Regression of Low Flow Indices in Eastern Japan, Hydrolog. Sci. J., 67, 191–204, https://doi.org/10.1080/02626667.2021.2003368, 2022. a
Wilkinson, S. N., Hancock, G. J., Bartley, R., Hawdon, A. A., and Keen, R. J.: Using Sediment Tracing to Assess Processes and Spatial Patterns of Erosion in Grazed Rangelands, Burdekin River Basin, Australia, Agr. Ecosyst. Environ., 180, 90–102, https://doi.org/10.1016/j.agee.2012.02.002, 2013. a, b, c, d, e
Williamson, T. N., Fitzpatrick, F. A., and Kreiling, R. M.: Building a Library of Source Samples for Sediment Fingerprinting – Potential and Proof of Concept, J. Environ. Manage., 333, 117254, https://doi.org/10.1016/j.jenvman.2023.117254, 2023. a
Xu, Z., Belmont, P., Brahney, J., and Gellis, A. C.: Sediment Source Fingerprinting as an Aid to Large-Scale Landscape Conservation and Restoration: A Review for the Mississippi River Basin, J. Environ. Manage., 324, 116260, https://doi.org/10.1016/j.jenvman.2022.116260, 2022. a, b
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.
Sediment source fingerprinting is a relevant tool to support soil conservation and watershed...