Articles | Volume 10, issue 2
https://doi.org/10.5194/soil-10-795-2024
© 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-10-795-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Original research article
| 
12 Nov 2024
Original research article |
| 12 Nov 2024
| 12 Nov 2024
Investigating the complementarity of thermal and physical soil organic carbon fractions
Amicie A. Delahaie
CORRESPONDING AUTHOR
Laboratoire de Géologie, École Normale Supérieure, CNRS, PSL University, IPSL, Paris, France
Lauric Cécillon
Laboratoire de Géologie, École Normale Supérieure, CNRS, PSL University, IPSL, Paris, France
Marija Stojanova
Laboratoire de Géologie, École Normale Supérieure, CNRS, PSL University, IPSL, Paris, France
Samuel Abiven
Laboratoire de Géologie, École Normale Supérieure, CNRS, PSL University, IPSL, Paris, France
Pierre Arbelet
Greenback (commercial name: Genesis), Paris, France
Dominique Arrouays
INRAE, Info&Sols, 45075, Orléans, France
François Baudin
UMR ISTeP 7193, Sorbonne Université, CNRS, Paris, France
Antonio Bispo
INRAE, Info&Sols, 45075, Orléans, France
Line Boulonne
INRAE, Info&Sols, 45075, Orléans, France
Claire Chenu
UMR ECOSYS, INRAE, AgroParisTech, Université Paris Saclay, 91123 Palaiseau, France
Jussi Heinonsalo
Department of Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Helsinki, Finland
Claudy Jolivet
INRAE, Info&Sols, 45075, Orléans, France
Kristiina Karhu
Department of Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Helsinki, Finland
Manuel Martin
INRAE, Info&Sols, 45075, Orléans, France
Lorenza Pacini
Laboratoire de Géologie, École Normale Supérieure, CNRS, PSL University, IPSL, Paris, France
Greenback (commercial name: Genesis), Paris, France
Christopher Poeplau
Thünen Institute of Climate-Smart Agriculture, Braunschweig, Germany
Céline Ratié
INRAE, Info&Sols, 45075, Orléans, France
Pierre Roudier
Manaaki Whenua – Landcare Research, Te Papaioea / Palmerston North, Aotearoa / New Zealand
Nicolas P. A. Saby
INRAE, Info&Sols, 45075, Orléans, France
Florence Savignac
UMR ISTeP 7193, Sorbonne Université, CNRS, Paris, France
Pierre Barré
Laboratoire de Géologie, École Normale Supérieure, CNRS, PSL University, IPSL, Paris, France
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Biogeosciences, 21, 4229–4237, https://doi.org/10.5194/bg-21-4229-2024, https://doi.org/10.5194/bg-21-4229-2024, 2024
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Manuscript not accepted for further review
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Elisa Bruni, Bertrand Guenet, Yuanyuan Huang, Hugues Clivot, Iñigo Virto, Roberta Farina, Thomas Kätterer, Philippe Ciais, Manuel Martin, and Claire Chenu
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Lauric Cécillon, François Baudin, Claire Chenu, Bent T. Christensen, Uwe Franko, Sabine Houot, Eva Kanari, Thomas Kätterer, Ines Merbach, Folkert van Oort, Christopher Poeplau, Juan Carlos Quezada, Florence Savignac, Laure N. Soucémarianadin, and Pierre Barré
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Jose Ruiz-Jimenez, Magdalena Okuljar, Outi-Maaria Sietiö, Giorgia Demaria, Thanaporn Liangsupree, Elisa Zagatti, Juho Aalto, Kari Hartonen, Jussi Heinonsalo, Jaana Bäck, Tuukka Petäjä, and Marja-Liisa Riekkola
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Laura Heimsch, Annalea Lohila, Juha-Pekka Tuovinen, Henriikka Vekuri, Jussi Heinonsalo, Olli Nevalainen, Mika Korkiakoski, Jari Liski, Tuomas Laurila, and Liisa Kulmala
Biogeosciences, 18, 3467–3483, https://doi.org/10.5194/bg-18-3467-2021, https://doi.org/10.5194/bg-18-3467-2021, 2021
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Severin-Luca Bellè, Asmeret Asefaw Berhe, Frank Hagedorn, Cristina Santin, Marcus Schiedung, Ilja van Meerveld, and Samuel Abiven
Biogeosciences, 18, 1105–1126, https://doi.org/10.5194/bg-18-1105-2021, https://doi.org/10.5194/bg-18-1105-2021, 2021
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Marcus Schiedung, Severin-Luca Bellè, Gabriel Sigmund, Karsten Kalbitz, and Samuel Abiven
Biogeosciences, 17, 6457–6474, https://doi.org/10.5194/bg-17-6457-2020, https://doi.org/10.5194/bg-17-6457-2020, 2020
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Virginie Moreaux, Simon Martel, Alexandre Bosc, Delphine Picart, David Achat, Christophe Moisy, Raphael Aussenac, Christophe Chipeaux, Jean-Marc Bonnefond, Soisick Figuères, Pierre Trichet, Rémi Vezy, Vincent Badeau, Bernard Longdoz, André Granier, Olivier Roupsard, Manuel Nicolas, Kim Pilegaard, Giorgio Matteucci, Claudy Jolivet, Andrew T. Black, Olivier Picard, and Denis Loustau
Geosci. Model Dev., 13, 5973–6009, https://doi.org/10.5194/gmd-13-5973-2020, https://doi.org/10.5194/gmd-13-5973-2020, 2020
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The model GO+ describes the functioning of managed forests based upon biophysical and biogeochemical processes. It accounts for the impacts of forest operations on energy, water and carbon exchanges within the soil–vegetation–atmosphere continuum. It includes versatile descriptions of management operations. Its sensitivity and uncertainty are detailed and predictions are compared with observations about mass and energy exchanges, hydrological data, and tree growth variables from different sites.
Katharina Hildegard Elisabeth Meurer, Claire Chenu, Elsa Coucheney, Anke Marianne Herrmann, Thomas Keller, Thomas Kätterer, David Nimblad Svensson, and Nicholas Jarvis
Biogeosciences, 17, 5025–5042, https://doi.org/10.5194/bg-17-5025-2020, https://doi.org/10.5194/bg-17-5025-2020, 2020
Short summary
Short summary
We present a simple model that describes, for the first time, the dynamic two-way interactions between soil organic matter and soil physical properties (porosity, pore size distribution, bulk density and layer thickness). The model was able to accurately reproduce the changes in soil organic carbon, soil bulk density and surface elevation observed during 63 years in a field trial, as well as soil water retention curves measured at the end of the experimental period.
Cited articles
Anderson, D. W. and Paul, E. A.: Organo-mineral complexes and their study by radiocarbon dating, Soil Sci. Soc. Am. J., 48, 298–301, https://doi.org/10.2136/sssaj1984.03615995004800020014x, 1984.
Angers, D. A., Arrouays, D., Saby, N. P. A., and Walter, C.: Estimating and mapping the carbon saturation deficit of French agricultural topsoils, Soil Use Manage., 27, 448–452, https://doi.org/10.1111/j.1475-2743.2011.00366.x, 2011.
Angst, G., Mueller, K. E., Castellano, M. J., Vogel, C., Wiesmeier, M., and Mueller, C. W.: Unlocking complex soil systems as carbon sinks: multi-pool management as the key, Nat. Commun., 14, 2967, https://doi.org/10.1038/s41467-023-38700-5, 2023.
Balesdent, J.: The significance of organic separates to carbon dynamics and its modelling in some cultivated soils, Eur. J. Soil Sci., 47, 485–493, https://doi.org/10.1111/j.1365-2389.1996.tb01848.x, 1996.
Balesdent, J., Mariotti, A., and Guillet, B.: Natural 13C abundance as a tracer for studies of soil organic matter dynamics, Soil Biol. Biochem., 19, 25–30, https://doi.org/10.1016/0038-0717(87)90120-9, 1987.
Balesdent, J., Pétraud, J. P., and Feller, C.: Effets des ultrasons sur la distribution granulométrique des matières organiques des sols, Science du Sol, 29, 95–106, 1991.
Balesdent, J., Besnard, E., Arrouays, D., and Chenu, C.: The dynamics of carbon in particle-size fractions of soil in a forest-cultivation sequence, Plant Soil, 201, 49–57, https://doi.org/10.1023/A:1004337314970, 1998.
Balesdent, J., Basile-Doelsch, I., Chadoeuf, J., Cornu, S., Derrien, D., Fekiacova, Z., and Hatté, C.: Atmosphere–soil carbon transfer as a function of soil depth, Nature, 559, 599–602, https://doi.org/10.1038/s41586-018-0328-3, 2018.
Barré, P., Plante, A. F., Cécillon, L., Lutfalla, S., Baudin, F., Bernard, S., Christensen, B. T., Eglin, T., Fernandez, J. M., Houot, S., Kätterer, T., Le Guillou, C., Macdonald, A., van Oort, F., and Chenu, C.: The energetic and chemical signatures of persistent soil organic matter, Biogeochemistry, 130, 1–12, https://doi.org/10.1007/s10533-016-0246-0, 2016.
Baudin, F., Disnar, J. R., Aboussou, A., and Savignac, F.: Guidelines for Rock–Eval analysis of recent marine sediments, Org. Geochem., 86, 71–80, https://doi.org/10.1016/j.orggeochem.2015.06.009, 2015.
Begill, N., Don, A., and Poeplau, C.: No detectable upper limit of mineral-associated organic carbon in temperate agricultural soils, Global Change Biol., 29, 4662–4669, https://doi.org/10.1111/gcb.16804, 2023.
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001.
Cambardella, C. A. and Elliott, E. T.: Particulate soil organic-matter changes across a grassland cultivation sequence, Soil Sci. Soc. Am. J., 56, 777–783, https://doi.org/10.2136/sssaj1992.03615995005600030017x, 1992.
Cécillon, L.: A dual response, Nat. Geosci., 14, 262–263, https://doi.org/10.1038/s41561-021-00749-6, 2021.
Cécillon, L., Baudin, F., Chenu, C., Houot, S., Jolivet, R., Kätterer, T., Lutfalla, S., Macdonald, A., van Oort, F., Plante, A. F., Savignac, F., Soucémarianadin, L. N., and Barré, P.: A model based on Rock-Eval thermal analysis to quantify the size of the centennially persistent organic carbon pool in temperate soils, Biogeosciences, 15, 2835–2849, https://doi.org/10.5194/bg-15-2835-2018, 2018.
Cécillon, L., Baudin, F., Chenu, C., Christensen, B. T., Franko, U., Houot, S., Kanari, E., Kätterer, T., Merbach, I., van Oort, F., Poeplau, C., Quezada, J. C., Savignac, F., Soucémarianadin, L. N., and Barré, P.: Partitioning soil organic carbon into its centennially stable and active fractions with machine-learning models based on Rock-Eval® thermal analysis (PARTYSOCv2.0 and PARTYSOCv2.0EU), Geosci. Model Dev., 14, 3879–3898, https://doi.org/10.5194/gmd-14-3879-2021, 2021.
Chassé, M., Lutfalla, S., Cécillon, L., Baudin, F., Abiven, S., Chenu, C., and Barré, P.: Long-term bare-fallow soil fractions reveal thermo-chemical properties controlling soil organic carbon dynamics, Biogeosciences, 18, 1703–1718, https://doi.org/10.5194/bg-18-1703-2021, 2021.
Chen, S., Arrouays, D., Angers, D. A., Martin, M. P., and Walter, C.: Soil carbon stocks under different land uses and the applicability of the soil carbon saturation concept, Soil Till. Res., 188, 53–58, https://doi.org/10.1016/j.still.2018.11.001, 2019.
Clivot, H., Mouny, J. C., Duparque, A., Dinh, J. L., Denoroy, P., Houot, S., Vertès, F., Trochard, R., Bouthier, A., Sagot, S., and Mary, B.: Modeling soil organic carbon evolution in long-term arable experiments with AMG model, Environ. Modell. Softw., 118, 99–113, https://doi.org/10.1016/j.envsoft.2019.04.004, 2019.
Cotrufo, M. F., Soong, J. L., Horton, A. J., Campbell, E. E., Haddix, M. L., Wall, D. H., and Parton, W. J.: Formation of soil organic matter via biochemical and physical pathways of litter mass loss, Nat. Geosci., 8, 776–779, https://doi.org/10.1038/ngeo2520, 2015.
Cotrufo, M. F., Ranalli, M. G., Haddix, M. L., Six, J., and Lugato, E.: Soil carbon storage informed by particulate and mineral-associated organic matter, Nat. Geosci., 12, 989–994, https://doi.org/10.1038/s41561-019-0484-6, 2019.
Cotrufo, M. F., Lavallee, J. M., Six, J., and Lugato, E.: The robust concept of mineral-associated organic matter saturation: A letter to Begill et al., 2023, Global Change Biol., 29, 5986–5987, https://doi.org/10.1111/gcb.16921, 2023.
Delahaie, A., Baudin, F., Cécillon, L., Savignac, F., and Barré, P.: Rock-Eval® thermal analysis results of the first RMQS campaign topsoil samples, Recherche Data Gouv [data set], https://doi.org/10.57745/KVUTRB, 2024.
Delahaie, A. A., Barré, P., Baudin, F., Arrouays, D., Bispo, A., Boulonne, L., Chenu, C., Jolivet, C., Martin, M. P., Ratié, C., Saby, N. P. A., Savignac, F., and Cécillon, L.: Elemental stoichiometry and Rock-Eval® thermal stability of organic matter in French topsoils, SOIL, 9, 209–229, https://doi.org/10.5194/soil-9-209-2023, 2023.
Disnar, J. R., Guillet, B., Kéravis, D., Di-Giovanni, C., and Sebag, D.: Soil organic matter (SOM) characterization by Rock-Eval pyrolysis: scope and limitations, Org. Geochem., 34, 327–343, https://doi.org/10.1016/S0146-6380(02)00239-5, 2003.
Edlinger, A., Garland, G., Banerjee, S., Degrune, F., García-Palacios, P., Herzog, C., Pescador, D. S., Romdhane, S., Ryo, M., Saghaï, A., Hallin, S., Maestre, F. T., Philippot, L., Rillig, M. C., and van Der Heijden, M. G.: The impact of agricultural management on soil aggregation and carbon storage is regulated by climatic thresholds across a 3000 km European gradient, Global Change Biol., 29, 3177–3192, https://doi.org/10.1111/gcb.16677, 2023.
Eggleston, H. S., Buendia, L., Miwa, K., Ngara, T., and Tanabe, K.: 2006 IPCC guidelines for national greenhouse gas inventories, Institute for Global Environmental Strategies (IGES), ISBN 4-88788-032-4, 2006.
Fox, J. and Weisberg, S.: An R Companion to Applied Regression, 3rd edn., Sage, Thousand Oaks CA, https://www.john-fox.ca/Companion/ (last access: 3 October 2024), 2019.
Georgiou, K., Jackson, R. B., Vindušková, O., Abramoff, R. Z., Ahlström, A., Feng, W., Harden, J. W., Pellegrini, A. F. A., Polley, H. W., Soong, J. L., Riley, W. J., and Torn, M. S.: Global stocks and capacity of mineral-associated soil organic carbon, Nat. Commun., 13, 3797, https://doi.org/10.1038/s41467-022-31540-9, 2022.
Gogé, F., Joffre, R., Jolivet, C., Ross, I., and Ranjard, L.: Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database, Chemometr. Intell. Lab., 110, 168–176, https://doi.org/10.1016/j.chemolab.2011.11.003, 2012.
Hansen, P. S., Even, R., King, A. E., Lavallee, J., Schipanski, M., and Cotrufo, M. F.: Distinct, direct and climate-mediated environmental controls on global particulate and mineral-associated organic carbon storage, Global Change Biol., 30, e17080, https://doi.org/10.1111/gcb.17080, 2024.
Janzen, H. H.: The soil carbon dilemma: shall we hoard it or use it?, Soil Biol. Biochem., 38, 419–424, https://doi.org/10.1016/j.soilbio.2005.10.008, 2006.
Jolivet, C., Boulonne, L., and Ratié, C.: Manuel du Réseau de Mesures de la Qualité des Sols, édition 2006, Unité InfoSol, INRA Orléans, France, 190 pp., ISBN 2-73-80-1235-3, 2006.
Jolivet, C., Almeida Falcon, J.-L., Berché, P., Boulonne, L., Fontaine, M., Gouny, L., Lehmann, S., Maître, B., Ratié, C., Schellennberger, E., and Soler-Dominguez, N.: French Soil Quality Monitoring Network Manual RMQS2: second metropolitan campaign 2016–2027, ISBN 2-7380-1451-8, https://doi.org/10.17180/KC64-NY88, 2022.
Kanari, E., Cécillon, L., Baudin, F., Clivot, H., Ferchaud, F., Houot, S., Levavasseur, F., Mary, B., Soucémarianadin, L., Chenu, C., and Barré, P.: A robust initialization method for accurate soil organic carbon simulations, Biogeosciences, 19, 375–387, https://doi.org/10.5194/bg-19-375-2022, 2022.
Kassambara, A.: ggpubr: “ggplot2” Based Publication Ready Plots. R package version 0.6.0, https://rpkgs.datanovia.com/ggpubr/ (last access: 8 February 2023), 2023a.
Kassambara, A.: rstatix: Pipe-Friendly Framework for Basic Statistical Tests. R package version 0.7.2, https://rpkgs.datanovia.com/rstatix/ (last access: 8 February 2023), 2023b.
Kassambara, A. and Mundt, F.: Factoextra: Extract and Visualize the Results of Multivariate Data Analyses. R Package Version 1.0.7, https://CRAN.R-project.org/package=factoextra (last access: 8 February 2023), 2020.
King, A. E., Amsili, J. P., Córdova, S. C., Culman, S., Fonte, S. J., Kotcon, J., Liebig, M., Masters, M. D., McVay, K., Olk, D. C., Schipanski, M., Schneider, S. K., Stewart, C. E., and Cotrufo, M. F.: A soil matrix capacity index to predict mineral-associated but not particulate organic carbon across a range of climate and soil pH, Biogeochemistry, 165, 1–14, https://doi.org/10.1007/s10533-023-01066-3, 2023.
Kleber, M., Eusterhues, K., Keiluweit, M., Mikutta, C., Mikutta, R., and Nico, P. S.: Mineral–organic associations: formation, properties, and relevance in soil environments, Adv. Agron., 130, 1–140, https://doi.org/10.1016/bs.agron.2014.10.005, 2015.
Kögel-Knabner, I., Guggenberger, G., Kleber, M., Kandeler, E., Kalbitz, K., Scheu, S., Eusterhues, K., and Leinweber, P.: Organo-mineral associations in temperate soils: Integrating biology, mineralogy, and organic matter chemistry, J. Plant Nutr. Soil Sc., 171, 61–82, https://doi.org/10.1002/jpln.200700048, 2008.
Lavallee, J. M., Soong, J. L., and Cotrufo, M. F.: Conceptualizing soil organic matter into particulate and mineral-associated forms to address global change in the 21st century, Global Change Biol., 26, 261–273, https://doi.org/10.1002/jpln.200700048, 2020.
Le Noë, J., Manzoni, S., Abramoff, R., Bölscher, T., Bruni, E., Cardinael, R., Ciais, P., Chenu, C., Clivot, H., Derrien, D., Ferchaud, F., Garnier, P., Goll, D., Lashermes, G., Martin, M., Rasse, D., Rees, F., Sainte-Marie, J., Salmon, E., Schiedung, M., Schimel, J., Wieder, W., Abiven, S., Barré, P., Cécillon, L., and Guenet, B.: Soil organic carbon models need independent time-series validation for reliable prediction, Communications Earth and Environment, 4, 158, https://doi.org/10.1038/s43247-023-00830-5, 2023.
Louppe, G.: Understanding random forests: From theory to practice, arXiv [preprint], https://doi.org/10.48550/arXiv.1407.7502, 2014.
Louppe, G., Wehenkel, L., Sutera, A., and Geurts, P.: Understanding variable importances in forests of randomized trees, Adv. Neur. In., 26, ISBN 9781632660244, 2013.
Lugato, E., Lavallee, J. M., Haddix, M. L., Panagos, P., and Cotrufo, M. F.: Different climate sensitivity of particulate and mineral-associated soil organic matter, Nat. Geosci., 14, 295–300, https://doi.org/10.1038/s41561-021-00744-x, 2021.
Luo, Y., Ahlström, A., Allison, S. D., Batjes, N. H., Brovkin, V., Carvalhais, N., Chappell, A., Ciais, P., Davidson, E. A., Finzi, A., Georgiou, K., Guenet, B., Hararuk, O., Harden, J. W., He, Y., Hopkins, F., Jiang, L., Koven, C., Jackson, R. B., Jones, C. D., Lara, M. J., Liang, J., McGuire, A. D., Parton, W., Peng, C., Randerson, J. T., Salazar, A., Sierra, C. A., Smith, M. J., Tian, H., Todd-Brown, K. E. O., Torn, M., Van Groenigen, K. J., Wang, Y. P., West, T. O., Wei, Y., Wieder, W. R., Xia, J., Xu, X., Xu, X., and Zhou, T.: Toward more realistic projections of soil carbon dynamics by Earth system models, Global Biogeochem. Cy., 30, 40–56, https://doi.org/10.1002/2015GB005239, 2016.
Mathieu, J. A., Hatté, C., Balesdent, J., and Parent, É.: Deep soil carbon dynamics are driven more by soil type than by climate: a worldwide meta-analysis of radiocarbon profiles, Global Change Biol., 21, 4278–4292, https://doi.org/10.1111/gcb.13012, 2015.
Pacini, L., Adatte, T., Barré, P., Boussafir, M., Bouton, N., Cécillon, L., Lamoureux-Var, V., Sebag, D., Verrechia, E., Wattripont, A., and Baudin, F.: Reproducibility of Rock-Eval® thermal analysis for soil organic matter characterization, Org. Geochem., 186, 104687, https://doi.org/10.1016/j.orggeochem.2023.104687, 2023.
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, É.: Scikit-learn: Machine learning in Python, J. Mach. Learn. Res., 12, 2825–2830, 2011.
Plante, A. F., Fernández, J. M., and Leifeld, J.: Application of thermal analysis techniques in soil science, Geoderma, 153, 1–10, https://doi.org/10.1016/j.geoderma.2009.08.016, 2009.
Poeplau, C. and Don, A.: Sensitivity of soil organic carbon stocks and fractions to different land-use changes across Europe, Geoderma, 192, 189–201, https://doi.org/10.1016/j.geoderma.2012.08.003, 2013.
Poeplau, C., Don, A., Six, J., Kaiser, M., Benbi, D., Chenu, C., Cotrufo, M. F., Derrien, D., Gioacchini, P., Grand, S., Gregorich, E., Griepentrog, M., Gunina, A., Haddix, M., Kuzyakov, Y., Kühnel, A., Macdonald, L. M., Soong, J., Trigalet, S., Vermeire, M.-L., Rovira, P., van Wesemael, B., Wiesmeier, M., Yeasmin, S., Yevdokimov, I., and Nieder, R.: Isolating organic carbon fractions with varying turnover rates in temperate agricultural soils–A comprehensive method comparison, Soil Biol. Biochem., 125, 10–26, https://doi.org/10.1016/j.soilbio.2018.06.025, 2018.
Rowley, M. C., Grand, S., and Verrecchia, É. P.: Calcium-mediated stabilisation of soil organic carbon, Biogeochemistry, 137, 27–49, https://doi.org/10.1007/s10533-017-0410-1, 2018.
Rowley, M. C., Grand, S., Spangenberg, J. E., and Verrecchia, E. P.: Evidence linking calcium to increased organo-mineral association in soils, Biogeochemistry, 153, 223–241, https://doi.org/10.1007/s10533-021-00779-7, 2021.
Rumpel, C., Amiraslani, F., Chenu, C., Garcia Cardenas, M., Kaonga, M., Koutika, L. S., Ladha, J., Madari, B., Shirato, Y., Smith, P., Soudi, B., Soussana, J.-F., Whitehead, D., and Wollenberg, E.: The 4p1000 initiative: Opportunities, limitations and challenges for implementing soil organic carbon sequestration as a sustainable development strategy, Ambio, 49, 350–360, https://doi.org/10.1007/s13280-019-01165-2, 2020.
Saby, N., Bertouy, B., Boulonne, L., Bispo, A., Ratié, C., and Jolivet, C.: Statistiques sommaires issues du RMQS sur les données agronomiques et en éléments traces des sols français de 0 à 50 cm, V5, Portail Data INRAE [data set], https://doi.org/10.15454/BNCXYB, 2019.
Saenger, A., Cécillon, L., Sebag, D., and Brun, J. J.: Soil organic carbon quantity, chemistry and thermal stability in a mountainous landscape: A Rock–Eval pyrolysis survey, Org. Geochem., 54, 101–114, https://doi.org/10.1016/j.orggeochem.2012.10.008, 2013.
Sanderman, J., Baldock, J. A., Dangal, S. R. S. Ludwig, S., Potter, S., Rivard, C., and Savage, K.: Soil organic carbon fractions in the Great Plains of the United States: an application of mid-infrared spectroscopy, Biogeochemistry, 156, 97–114, https://doi.org/10.1007/s10533-021-00755-1, 2021.
Schmidt, M. W., Torn, M. S., Abiven, S., Dittmar, T., Guggenberger, G., Janssens, I. A., Kleber, M., Kögel-Knabner, I., Lehmann, J., Manning, D. A. C., Nannipieri, P., Rasse, D. P., Weiner, S., and Trumbore, S. E.: Persistence of soil organic matter as an ecosystem property, Nature, 478, 49–56, https://doi.org/10.1038/nature10386, 2011.
Schrumpf, M., Kaiser, K., Guggenberger, G., Persson, T., Kögel-Knabner, I., and Schulze, E.-D.: Storage and stability of organic carbon in soils as related to depth, occlusion within aggregates, and attachment to minerals, Biogeosciences, 10, 1675–1691, https://doi.org/10.5194/bg-10-1675-2013, 2013.
Sebag, D., Verrecchia, E. P., Cécillon, L., Adatte, T., Albrecht, R., Aubert, M., Bureau, F., Cailleau, G., Copard, Y., Decaens, T., Disnar, J.-R., Hetényi, M., Nyilas, T., and Trombino, L.: Dynamics of soil organic matter based on new Rock-Eval indices, Geoderma, 284, 185–203, https://doi.org/10.1016/j.geoderma.2016.08.025, 2016.
Soetaert, K.: plot3D: Plotting Multi-Dimensional Data. (Version 1.4), https://cran.rproject.org/web/packages/plot3D/plot3D.pdf (last access: 8 February 2023), 2021.
Soucémarianadin, L., Cécillon, L., Chenu, C., Baudin, F., Nicolas, M., Girardin, C., and Barré, P.: Is Rock-Eval 6 thermal analysis a good indicator of soil organic carbon lability? – A method-comparison study in forest soils, Soil Biol. Biochem., 117, 108–116, https://doi.org/10.1016/j.soilbio.2017.10.025, 2018.
Soucémarianadin, L., Cécillon, L., Chenu, C., Baudin, F., Nicolas, M., Girardin, C., Delahaie, A. A., and Barré, P.: Heterogeneity of the chemical composition and thermal stability of particulate organic matter in French forest soils, Geoderma, 342, 65–74, https://doi.org/10.1016/j.geoderma.2019.02.008, 2019.
Stojanova, M. and Delahaie, A.: SOC fractions drivers, Zenodo [code], https://doi.org/10.5281/zenodo.10551240, 2024.
Vinci Technologies (Nanterre, France): Geoworks V1.6R2, https://www.vinci-technologies.com/rocks-and-fluids/geology/organic-geochemistry/geoworks-geochemical-software/113335/ (last access: 12 June 2023), 2021.
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van der Walt, S. J., Brett, M., Wilson, J., Millman, K. J., Mayorov, N., Nelson, A. R. J., Jones, E., Kern, R., Larson, E., Carey, C. J., Polat, I., Feng, Y., Moore, E. W., Vanderplas, J., Laxalde, D., Perktold, J., Cimrman, R., Henriksen, I., Quintero, E. A., Harris, C. R., Archibald, A. M., Ribeiro, A. H., Pedragosa, F., and Van Mulbregt, P.: SciPy 1.0: fundamental algorithms for scientific computing in Python, Nat. Methods, 17, 261–272, https://doi.org/10.1038/s41592-019-0686-2, 2020.
Viscarra Rossel, R. A., Lee, J., Behrens, T., Luo, Z., Baldock, J., and Richards, A.: Continental-scale soil carbon composition and vulnerability modulated by regional environmental controls, Nat. Geosci., 12, 547–552, https://doi.org/10.1038/s41561-019-0373-z, 2019.
von Lützow, M., Kögel-Knabner, I., Ekschmitt, K., Flessa, H., Guggenberger, G., Matzner, E., and Marschner, B.: SOM fractionation methods: relevance to functional pools and to stabilization mechanisms, Soil Biol. Biochem., 39, 2183–2207, https://doi.org/10.1016/j.soilbio.2007.03.007, 2007.
von Lützow, M. V., Kögel-Knabner, I., Ekschmitt, K., Matzner, E., Guggenberger, G., Marschner, B., and Flessa, H.: Stabilization of organic matter in temperate soils: mechanisms and their relevance under different soil conditions – a review, Eur. J. Soil Sci., 57, 426–445, https://doi.org/10.1111/j.1365-2389.2006.00809.x, 2006.
Wei, T. and Simko, V.: R package “corrplot”: Visualization of a Correlation Matrix (Version 0.92), https://github.com/taiyun/corrplot (last access: 8 February 2023), 2021.
Wickham, H.: ggplot2: Elegant Graphics for Data Analysis, Springer-Verlag, New York, ISBN 978-3-319-24277-4, 2016.
Zimmermann, M., Leifeld, J., Schmidt, M. W. I., Smith, P., and Fuhrer, J.: Measured soil organic matter fractions can be related to pools in the RothC model, Eur. J. Soil Sci., 58, 658–667, https://doi.org/10.1111/j.1365-2389.2006.00855.x, 2007.
Short summary
This paper compares the soil organic carbon fractions obtained from a new thermal fractionation scheme and a well-known physical fractionation scheme on an unprecedented dataset of French topsoil samples. For each fraction, we use a machine learning model to determine its environmental drivers (pedology, climate, and land cover). Our results suggest that these two fractionation schemes provide different fractions, which means they provide complementary information.
This paper compares the soil organic carbon fractions obtained from a new thermal fractionation...
