Articles | Volume 19, issue 2
https://doi.org/10.5194/bg-19-375-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-375-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jan 2022
Research article |
| 24 Jan 2022
| 24 Jan 2022
A robust initialization method for accurate soil organic carbon simulations
Laboratoire de Géologie, École normale supérieure, CNRS,
Université PSL, IPSL, 75005 Paris, France
ISTeP, UMR 7193, Sorbonne Université, CNRS, 75005 Paris, France
Laboratoire de Géologie, École normale supérieure, CNRS,
Université PSL, IPSL, 75005 Paris, France
Normandie Université, UNIROUEN, INRAE, ECODIV, 76821 Rouen, France
François Baudin
ISTeP, UMR 7193, Sorbonne Université, CNRS, 75005 Paris, France
Hugues Clivot
Université de Reims Champagne Ardenne, INRAE, FARE, UMR A 614,
51097 Reims, France
Fabien Ferchaud
BioEcoAgro Joint Research Unit, INRAE, Université de Liège,
Université de Lille, Université Picardie Jules Verne, 02000 Barenton-Bugny, France
Sabine Houot
UMR ECOSYS, INRAE, AgroParisTech, Université Paris-Saclay,
78850 Thiverval-Grignon, France
Florent Levavasseur
UMR ECOSYS, INRAE, AgroParisTech, Université Paris-Saclay,
78850 Thiverval-Grignon, France
Bruno Mary
BioEcoAgro Joint Research Unit, INRAE, Université de Liège,
Université de Lille, Université Picardie Jules Verne, 02000 Barenton-Bugny, France
Laure Soucémarianadin
ACTA – les instituts techniques agricoles, 75012 Paris, France
Claire Chenu
UMR ECOSYS, INRAE, AgroParisTech, Université Paris-Saclay,
78850 Thiverval-Grignon, France
Laboratoire de Géologie, École normale supérieure, CNRS,
Université PSL, IPSL, 75005 Paris, France
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This preprint is open for discussion and under review for Biogeosciences (BG).
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Sophie Hage, Megan L. Baker, Nathalie Babonneau, Guillaume Soulet, Bernard Dennielou, Ricardo Silva Jacinto, Robert G. Hilton, Valier Galy, François Baudin, Christophe Rabouille, Clément Vic, Sefa Sahin, Sanem Açikalin, and Peter J. Talling
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SOIL, 10, 533–549, https://doi.org/10.5194/soil-10-533-2024, https://doi.org/10.5194/soil-10-533-2024, 2024
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Amicie A. Delahaie, Pierre Barré, François Baudin, Dominique Arrouays, Antonio Bispo, Line Boulonne, Claire Chenu, Claudy Jolivet, Manuel P. Martin, Céline Ratié, Nicolas P. A. Saby, Florence Savignac, and Lauric Cécillon
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Increasing soil organic carbon (SOC) stocks is beneficial for climate change mitigation and food security. One way to enhance SOC stocks is to increase carbon input to the soil. We estimate the amount of carbon input required to reach a 4 % annual increase in SOC stocks in 14 long-term agricultural experiments around Europe. We found that annual carbon input should increase by 43 % under current temperature conditions, by 54 % for a 1 °C warming scenario and by 120 % for a 5 °C warming scenario.
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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Partitioning soil organic carbon (SOC) into fractions that are stable or active on a century scale is key for more accurate models of the carbon cycle. Here, we describe the second version of a machine-learning model, named PARTYsoc, which reliably predicts the proportion of the centennially stable SOC fraction at its northwestern European validation sites with Cambisols and Luvisols, the two dominant soil groups in this region, fostering modelling works of SOC dynamics.
Mathieu Chassé, Suzanne Lutfalla, Lauric Cécillon, François Baudin, Samuel Abiven, Claire Chenu, and Pierre Barré
Biogeosciences, 18, 1703–1718, https://doi.org/10.5194/bg-18-1703-2021, https://doi.org/10.5194/bg-18-1703-2021, 2021
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Evolution of organic carbon content in soils could be a major driver of atmospheric greenhouse gas concentrations over the next century. Understanding factors controlling carbon persistence in soil is a challenge. Our study of unique long-term bare-fallow samples, depleted in labile organic carbon, helps improve the separation, evaluation and characterization of carbon pools with distinct residence time in soils and gives insight into the mechanisms explaining soil organic carbon persistence.
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
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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
Amelung, W., Bossio, D., de Vries, W., Kögel-Knabner, I., Lehmann, J.,
Amundson, R., Bol, R., Collins, C., Lal, R., Leifeld, J., Minasny, B., Pan,
G., Paustian, K., Rumpel, C., Sanderman, J., van Groenigen, J. W., Mooney,
S., van Wesemael, B., Wander, M., and Chabbi, A.: Towards a global-scale
soil climate mitigation strategy, Nat. Commun., 11, 1–10,
https://doi.org/10.1038/s41467-020-18887-7, 2020.
Andriulo, A. E., Mary, B., and Guerif, J.: Modelling soil carbon dynamics
with various cropping sequences on the rolling pampas, Agronomie, 19, 365–377, 1999.
Aphalo, P. J.: Learn R as you learnt your mother tongue, Leanpub [code], available at: https://leanpub.com/learnr (last access: 19 January 2022), 2016.
Bailey, V. L., Bond-Lamberty, B., DeAngelis, K., Grandy, A. S., Hawkes, C.
V., Heckman, K., Lajtha, K., Phillips, R. P., Sulman, B. N., Todd-Brown, K.
E. O., and Wallenstein, M. D.: Soil carbon cycling proxies: Understanding
their critical role in predicting climate change feedbacks, Glob. Chang. Biol., 24, 895–905,
https://doi.org/10.1111/gcb.13926, 2018.
Baldock, J. A., Hawke, B., Sanderman, J., and Macdonald, L. M.: Predicting
contents of carbon and its component fractions in Australian soils from
diffuse reflectance mid-infrared spectra, Soil Res., 51, 577–595,
https://doi.org/10.1071/SR13077, 2013.
Balesdent, J. and Arrouays, D.: Usage des terres et stockage de carbone dans
les sols du territoire français. Une estimation des flux nets pour la
période 1900–1999, Comptes rendus l'Académie d'Agriculture Fr., 85, 265–277, 1999.
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., Montagnier, C., Chenu, C., Abbadie, L., and Velde, B.: Clay
minerals as a soil potassium reservoir: Observation and quantification
through X-ray diffraction, Plant Soil, 302, 213–220,
https://doi.org/10.1007/s11104-007-9471-6, 2008.
Barré, P., Eglin, T., Christensen, B. T., Ciais, P., Houot, S.,
Kätterer, T., van Oort, F., Peylin, P., Poulton, P. R., Romanenkov, V.,
and Chenu, C.: Quantifying and isolating stable soil organic carbon using
long-term bare fallow experiments, Biogeosciences, 7, 3839–3850,
https://doi.org/10.5194/bg-7-3839-2010, 2010.
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.
Barthès, B. G., Brunet, D., Hien, E., Enjalric, F., Conche, S.,
Freschet, G. T., d'Annunzio, R., and Toucet-Louri, J.: Determining the
distributions of soil carbon and nitrogen in particle size fractions using
near-infrared reflectance spectrum of bulk soil samples, Soil Biol.
Biochem., 40, 1533–1537, https://doi.org/10.1016/j.soilbio.2007.12.023,
2008.
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.
Behar, F., Beaumont, V., and De B. Penteado, H. L.: Rock-Eval 6 Technology:
Performances and Developments, Oil Gas Sci. Technol., 56, 111–134,
https://doi.org/10.2516/ogst:2001013, 2001.
Bolinder, M. A., Janzen, H. H., Gregorich, E. G., Angers, D. A., and
VandenBygaart, A. J.: An approach for estimating net primary productivity
and annual carbon inputs to soil for common agricultural crops in Canada, Agr. Ecosyst. Environ.,
118, 29–42, https://doi.org/10.1016/j.agee.2006.05.013, 2007.
Bruun, S. and Jensen, L. S.: Initialisation of the soil organic matter pools
of the Daisy model, Ecol. Modell., 153, 291–295, 2002.
Cagnarini, C., Renella, G., Mayer, J., Hirte, J., Schulin, R., Costerousse,
B., Della Marta, A., Orlandini, S., and Menichetti, L.: Multi-objective
calibration of RothC using measured carbon stocks and auxiliary data of a
long-term experiment in Switzerland, Eur. J. Soil Sci., 70, 819–832,
https://doi.org/10.1111/ejss.12802, 2019.
Cécillon, L.: A dual response, Nat. Geosci., 14, 262–263,
https://doi.org/10.1038/s41561-021-00749-6, 2021a.
Cécillon, L.: lauric-cecillon/PARTYsoc: Second version of the
PARTYSOC statistical model, Zenodo [code], https://doi.org/10.5281/zenodo.4446138,
2021b.
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., Luftalla, 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.
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. Model. Softw., 118, 99–113, https://doi.org/10.1016/j.envsoft.2019.04.004,
2019.
Coleman, K., Jenkinson, D. S., Crocker, G. J., Grace, P. R., Klír, J.,
Körschens, M., Poulton, P. R., and Richter, D. D.: Simulating trends in
soil organic carbon in long-term experiments using RothC-26.3, Geoderma, 81, 29–44,
https://doi.org/10.1016/S0016-7061(97)00079-7, 1997.
Colomb, B., Debaeke, P., Jouany, C., and Nolot, J. M.: Phosphorus management
in low input stockless cropping systems: Crop and soil responses to
contrasting P regimes in a 36-year experiment in southern France, Eur. J. Agron., 26,
154–165, https://doi.org/10.1016/j.eja.2006.09.004, 2007.
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.
Crowther, T. W., van den Hoogen, J., Wan, J., Mayes, M. A., Keiser, A. D.,
Mo, L., Averill, C., and Maynard, D. S.: The global soil community and its
influence on biogeochemistry, Science, 365, eaav0550,
https://doi.org/10.1126/science.aav0550, 2019.
Dangal, S. R. S., Schwalm, C., Cavigelli, M. A., Gollany, H. T., Jin, V. L.,
and Sanderman, J.: Improving soil carbon estimates by linking conceptual
pools against measurable carbon fractions in the DAYCENT Model Version 4.5,
ESSOAR, https://doi.org/10.1002/essoar.10507190.1, 2021.
Dignac, M.-F., Derrien, D., Barré, P., Barot, S., Cécillon, L.,
Chenu, C., Chevallier, T., Freschet, G. T., Garnier, P., Guenet, B., Hedde,
M., Klumpp, K., Lashermes, G., Maron, P.-A., Nunan, N., Roumet, C., and
Basile-Doelsch, I.: Increasing soil carbon storage: mechanisms, effects of
agricultural practices and proxies. A review, Agron. Sustain. Dev., 37, 14,
https://doi.org/10.1007/s13593-017-0421-2, 2017.
Dimassi, B., Mary, B., Wylleman, R., Labreuche, J. Ô., Couture, D.,
Piraux, F., and Cohan, J. P.: Long-term effect of contrasted tillage and
crop management on soil carbon dynamics during 41 years, Agr. Ecosyst. Environ., 188, 134–146,
https://doi.org/10.1016/j.agee.2014.02.014, 2014.
Disnar, J. R., Guillet, B., Keravis, 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.
Erb, K. H., Luyssaert, S., Meyfroidt, P., Pongratz, J., Don, A., Kloster,
S., Kuemmerle, T., Fetzel, T., Fuchs, R., Herold, M., Haberl, H., Jones, C.
D., Marín-Spiotta, E., McCallum, I., Robertson, E., Seufert, V., Fritz,
S., Valade, A., Wiltshire, A., and Dolman, A. J.: Land management: data
availability and process understanding for global change studies, Glob. Chang. Biol., 23,
512–533, https://doi.org/10.1111/gcb.13443, 2017.
FAO: Recarbonization of global soils: a dynamic response to offset global
emissions, FAO, Rome, Italy, 8 pp., available at: https://www.fao.org/documents/card/en/c/e4839d17-c6aa-44ca-85cc-b4a6de25c143/ (last access: 19 January 2022), 2019.
FAO: Technical specifications and country guidelines for Global Soil Organic
Carbon Sequestration Potential Map (GSOCseq), FAO, Rome, Italy, 48 pp., available at: https://www.fao.org/3/cb0353en/CB0353EN.pdf (last access: 19 January 2022), 2020.
Farina, R., Sándor, R., Abdalla, M., Álvaro-Fuentes, J., Bechini,
L., Bolinder, M. A., Brilli, L., Chenu, C., Clivot, H., De Antoni
Migliorati, M., Di Bene, C., Dorich, C. D., Ehrhardt, F., Ferchaud, F.,
Fitton, N., Francaviglia, R., Franko, U., Giltrap, D. L., Grant, B. B.,
Guenet, B., Harrison, M. T., Kirschbaum, M. U. F., Kuka, K., Kulmala, L.,
Liski, J., McGrath, M. J., Meier, E., Menichetti, L., Moyano, F., Nendel,
C., Recous, S., Reibold, N., Shepherd, A., Smith, W. N., Smith, P.,
Soussana, J. F., Stella, T., Taghizadeh-Toosi, A., Tsutskikh, E., and
Bellocchi, G.: Ensemble modelling, uncertainty and robust predictions of
organic carbon in long-term bare-fallow soils, Glob. Chang. Biol., 27, 904–928,
https://doi.org/10.1111/gcb.15441, 2021.
Fuchs, R., Herold, M., Verburg, P. H., Clevers, J. G. P. W., and Eberle, J.:
Gross changes in reconstructions of historic land cover/use for Europe
between 1900 and 2010, Glob. Chang. Biol., 21, 299–313, https://doi.org/10.1111/gcb.12714,
2015.
Gregorich, E. G., Gillespie, A. W., Beare, M. H., Curtin, D., Sanei, H., and
Yanni, S. F.: Evaluating biodegradability of soil organic matter by its
thermal stability and chemical composition, Soil Biol. Biochem.,
91, 182–191, https://doi.org/10.1016/j.soilbio.2015.08.032, 2015.
He, Y., Trumbore, S. E., Torn, M. S., Harden, J. W., Vaugh, L. J. S.,
Allison, S. D., and Randerson, J. T.: Radiocarbon constraints imply reduced
carbon uptake by soils during the 21st century, Science, 353, 1419–1424, https://doi.org/10.1126/science.aad4273, 2016.
Hemingway, J. D., Rothman, D. H., Grant, K. E., Rosengard, S. Z., Eglinton,
T. I., Derry, L. A., and Galy, V. V.: Mineral protection regulates long-term
global preservation of natural organic carbon, Nature, 570, 228–231,
https://doi.org/10.1038/s41586-019-1280-6, 2019.
Hénin, S. and Dupuis, M.: Essai de bilan de la matière organique du
sol, in: Ann. Agron. 11, Dunod (impr. de Chaix), Paris, 17–29, 1945.
Herbst, M., Welp, G., Macdonald, A., Jate, M., Hädicke, A., Scherer, H.,
Gaiser, T., Herrmann, F., Amelung, W., and Vanderborght, J.: Correspondence
of measured soil carbon fractions and RothC pools for equilibrium and
non-equilibrium states, Geoderma, 314, 37–46,
https://doi.org/10.1016/j.geoderma.2017.10.047, 2018.
IPCC: Climate Change and Land: an IPCC special report on climate change,
desertification, land degradation, sustainable land management, food
security, and greenhouse gas fluxes in terrestrial ecosystems, edited by: Shukla, P. R., Skea, J., Calvo Buendia, E., Masson-Delmotte, V., Pörtner, H.-O., Roberts, D. C., Zhai, P., Slade, R., Connors, S., van Diemen, R., Ferrat, M., Haughey, E., Luz, S., Neogi, S., Pathak, M., Petzold, J., Portugal Pereira, J., Vyas, P., Huntley, E., Kissick, K., Belkacemi, M., and Malley, J., The Intergovernmental Panel on Climate Change, available at: https://www.ipcc.ch/srccl/ (last access: 19 January 2022), 2019.
Jobbagy, E. G. and Jackson, R. B.: The vertical distribution of Soil Organic
Carbon and its relation to climate and vegetation, Ecol. Appl., 10, 423–436, 2000.
Khedim, N., Cécillon, L., Poulenard, J., Barré, P., Baudin, F.,
Marta, S., Rabatel, A., Dentant, C., Cauvy-Fraunié, S., Anthelme, F.,
Gielly, L., Ambrosini, R., Franzetti, A., Azzoni, R. S., Caccianiga, M. S.,
Compostella, C., Clague, J., Tielidze, L., Messager, E., Choler, P., and
Ficetola, G. F.: Topsoil organic matter build-up in glacier forelands around
the world, Glob. Change Biol., 27, 1662–1677,
https://doi.org/10.1111/gcb.15496, 2021.
Lee, J., Viscarra Rossel, R. A., Zhang, M., Luo, Z., and Wang, Y.-P.: Assessing the response of soil carbon in Australia to changing inputs and climate using a consistent modelling framework, Biogeosciences, 18, 5185–5202, https://doi.org/10.5194/bg-18-5185-2021, 2021.
Lehmann, J., Hansel, C. M., Kaiser, C., Kleber, M., Maher, K., Manzoni, S.,
Nunan, N., Reichstein, M., Schimel, J. P., Torn, M. S., Wieder, W. R., and
Kögel-Knabner, I.: Persistence of soil organic carbon caused by
functional complexity, Nat. Geosci., 13, 529–534,
https://doi.org/10.1038/s41561-020-0612-3, 2020.
Leifeld, J., Reiser, R., and Oberholzer, H. R.: Consequences of conventional
versus organic farming on soil carbon: Results from a 27-year field
experiment, Agron. J., 101, 1204–1218, https://doi.org/10.2134/agronj2009.0002, 2009a.
Leifeld, J., Zimmermann, M., Fuhrer, J., and Conen, F.: Storage and turnover
of carbon in grassland soils along an elevation gradient in the Swiss Alps, Glob. Change Biol.,
15, 668–679, https://doi.org/10.1111/j.1365-2486.2008.01782.x, 2009b.
Levavasseur, F., Mary, B., Christensen, B. T., Duparque, A., Ferchaud, F.,
Kätterer, T., Lagrange, H., Montenach, D., Resseguier, C., and Houot,
S.: The simple AMG model accurately simulates organic carbon storage in
soils after repeated application of exogenous organic matter, Nutr. Cycl. Agroecosyst., 117, 215–229,
https://doi.org/10.1007/s10705-020-10065-x, 2020.
Lubet, E., Plénet, D., and Juste, C.: Effet à long terme de la
monoculture sur le rendement en grain du maïs (Zea mays L) en
conditions non irriguées, Agronomie, 13, 673–683,
https://doi.org/10.1051/agro:19930801, 1993.
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, Robert, 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., Xu, X.,
Xu, X., and Zhou, T.: Towards more realistic projections of soil carbon
dynamics by Earth system models, Global Biogeochem. Cy., 30, 40–56,
https://doi.org/10.1002/2015GB005239, 2016.
Luo, Z., Wang, E., Fillery, I. R. P., Macdonald, L. M., Huth, N., and
Baldock, J.: Modelling soil carbon and nitrogen dynamics using measurable
and conceptual soil organic matter pools in APSIM, Agr. Ecosyst. Environ., 186, 94–104,
https://doi.org/10.1016/j.agee.2014.01.019, 2014.
Manzoni, S. and Porporato, A.: Soil carbon and nitrogen mineralization:
Theory and models across scales, Soil Biol. Biochem., 41, 1355–1379,
https://doi.org/10.1016/j.soilbio.2009.02.031, 2009.
Martin, M., Dimassi, B., Millet, F., Picaud, C., Bounoua, E.-M., Bardy, M.,
Bispo, A., Boulonne, L., Bouthier, A., Duparque, A., Eglin, T., Guenet, B.,
Huard, F., Mary, B., Mathias, E., Mignolet, C., Robert, C., Saby, N., Sagot,
S., Schott, C., and Toutain, B. R.: Méthodes de comptabilisation du
stockage de carbone organique des sols sous l'effet des pratiques culturales
(CSopra), ADEME, available at: https://librairie.ademe.fr/produire-autrement/ (last access: 19 January 2022),
2019.
Mary, B., Clivot, H., Blaszczyk, N., Labreuche, J., and Ferchaud, F.: Soil
carbon storage and mineralization rates are affected by carbon inputs rather
than physical disturbance: Evidence from a 47-year tillage experiment, Agr. Ecosyst. Environ., 299,
106972, https://doi.org/10.1016/j.agee.2020.106972, 2020.
Messiga, A. J., Ziadi, N., Plénet, D., Parent, L. E., and Morel, C.:
Long-term changes in soil phosphorus status related to P budgets under maize
monoculture and mineral P fertilization, Soil Use Manag., 26, 354–364,
https://doi.org/10.1111/j.1475-2743.2010.00287.x, 2010.
Morel, C., Ziadi, N., Messiga, A., Bélanger, G., Denoroy, P., Jeangros,
B., Jouany, C., Fardeau, J. C., Mollier, A., Parent, L. E., Proix, N.,
Rabeharisoa, L., and Sinaj, S.: Modeling of phosphorus dynamics in
contrasting agroecosystems using long-term field experiments, Can. J. Soil Sci., 94, 377–387,
https://doi.org/10.4141/CJSS2013-024, 2014.
Nave, L., Johnson, K., Ingen, C. van, Agarwal, D., Humphrey, M., and
Beekwilder, N.: International Soil Carbon Network (ISCN) Database V3-1, International Soil Carbon Network,
https://doi.org/10.17040/ISCN/1305039, 2015.
Nemo, K., Coleman, K., Dondini, M., Goulding, K., Hastings, A.,
Jones, M. B., Leifeld, J., Osborne, B., Saunders, M., Scott, T., Teh, Y. A.,
and Smith, P.: Soil Organic Carbon (SOC) Equilibrium and Model
Initialisation Methods: an Application to the Rothamsted Carbon (RothC)
Model, Environ. Model. Assess., 22, 215–229, https://doi.org/10.1007/s10666-016-9536-0, 2016.
Noirot-Cosson, P. E., Vaudour, E., Gilliot, J. M., Gabrielle, B., and Houot,
S.: Modelling the long-term effect of urban waste compost applications on
carbon and nitrogen dynamics in temperate cropland, Soil Biol. Biochem., 94, 138–153,
https://doi.org/10.1016/j.soilbio.2015.11.014, 2016.
Oberholzer, H. R., Leifeld, J., and Mayer, J.: Changes in soil carbon and
crop yield over 60 years in the Zurich Organic Fertilization Experiment,
following land-use change from grassland to cropland, J. Plant Nutr. Soil Sci., 177, 696–704,
https://doi.org/10.1002/jpln.201300385, 2014.
Obriot, F.: Epandage de produits résiduaires organiques et
fonctionnement biologique des sols: De la quantification des impacts sur
les cycles carbone et azote à l'évaluation multicritère de la
pratique à l'échelle de la parcelle (PhD), AgroParisTech, 456 pp., available at: https://hal.inrae.fr/tel-02801385 (last access: 19 January 2022),
2016.
Otto, S. A., Kadin, M., Casini, M., Torres, M. A., and Blenckner, T.: A
quantitative framework for selecting and validating food web indicators, Ecol. Indic., 84,
619–631, https://doi.org/10.1016/j.ecolind.2017.05.045, 2018.
Poeplau, C., Don, A., Vesterdal, L., Leifeld, J., Van Wesemael, B.,
Schumacher, J., and Gensior, A.: Temporal dynamics of soil organic carbon
after land-use change in the temperate zone – carbon response functions as a
model approach, Glob. Change Biol., 17, 2415–2427,
https://doi.org/10.1111/j.1365-2486.2011.02408.x, 2011.
Poeplau, C., Don, A., Dondini, M., Leifeld, J., Nemo, R., Schumacher, J.,
Senapati, N., and Wiesmeier, M.: Reproducibility of a soil organic carbon
fractionation method to derive RothC carbon pools, Eur. J. Soil Sci., 64, 735–746,
https://doi.org/10.1111/ejss.12088, 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.
Poeplau, C., Barré, P., Cécillon, L., Baudin, F., and Sigurdsson, B.
D.: Changes in the Rock-Eval signature of soil organic carbon upon extreme
soil warming and chemical oxidation – A comparison, Geoderma, 337, 181–190,
https://doi.org/10.1016/j.geoderma.2018.09.025, 2019.
R Core Team: R: A language and environment for statistical computing, R Foundation for Statistical Computing,
Vienna, Austria, available at: https://www.R-project.org/ (last access: 19 January 2022), 2017.
Rumpel, C., Amiraslani, F., Koutika, L. S., Smith, P., Whitehead, D., and
Wollenberg, E.: Put more carbon in soils to meet Paris climate pledges, Nature, 564,
32–34, https://doi.org/10.1038/d41586-018-07587-4, 2018.
Saffih-Hdadi, K. and Mary, B.: Modeling consequences of straw residues
export on soil organic carbon, Soil Biol. Biochem., 40, 594–607,
https://doi.org/10.1016/j.soilbio.2007.08.022, 2008.
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.
Schrumpf, M., Schulze, E. D., Kaiser, K., and Schumacher, J.: How accurately
can soil organic carbon stocks and stock changes be quantified by soil
inventories?, Biogeosciences, 8, 1193–1212, https://doi.org/10.5194/bg-8-1193-2011, 2011.
Shi, Z., Crowell, S., Luo, Y., and Moore, B.: Model structures amplify
uncertainty in predicted soil carbon responses to climate change, Nat.
Commun., 9, 2171, https://doi.org/10.1038/s41467-018-04526-9, 2018.
Skjemstad, J. O., Spouncer, L. R., Cowie, B., and Swift, R. S.: Calibration
of the Rothamsted organic carbon turnover model (RothC ver. 26.3), using
measurable soil organic carbon pools, Aust. J. Soil Res., 42, 79–88,
https://doi.org/10.1071/SR03013, 2004.
Smith, J. U., Smith, P., and Addiscot, T.: Quantitative methods to evaluate
and compare soil organic matter (SOM) models, in: Evaluation of Soil Organic
Matter Models Using existing Long-Term Datasets, edited by: Powlson, D. S., Smith, J. U., and Smith, P., Springer Berlin,
Heidelberg, 181–199, 1996.
Smith, P. and Falloon, P. D.: Modelling refractory soil organic matter, Biol. Fertil. Soils, 30,
388–398, https://doi.org/10.1007/s003740050019, 2000.
Taghizadeh-Toosi, A., Cong, W. F., Eriksen, J., Mayer, J., Olesen, J. E.,
Keel, S. G., Glendining, M., Kätterer, T., and Christensen, B. T.:
Visiting dark sides of model simulation of carbon stocks in European
temperate agricultural soils: allometric function and model initialization, Plant Soil,
450, 255–272, https://doi.org/10.1007/s11104-020-04500-9, 2020.
Todd-Brown, K. E. O., Randerson, J. T., Hopkins, F., Arora, V., Hajima, T.,
Jones, C., Shevliakova, E., Tjiputra, J., Volodin, E., Wu, T., Zhang, Q.,
and Allison, S. D.: Changes in soil organic carbon storage predicted by
Earth system models during the 21st century, Biogeosciences, 11, 2341–2356,
https://doi.org/10.5194/bg-11-2341-2014, 2014.
UN General Assembly: UN General Assembly, Transforming our world: the 2030
Agenda for Sustainable Development, 21 October 2015, A/RES/70/1, General assembly seventieth session, New York, available at: https://www.un.org/ga/search/view_doc.asp?symbol=A/RES/70/1&Lang=E (last access: 19 January 2022), 2015.
Vermeulen, S., Bossio, D., Lehmann, J., Luu, P., Paustian, K., Webb, C.,
Augé, F., Bacudo, I., Baedeker, T., Havemann, T., Jones, C., King, R.,
Reddy, M., Sunga, I., Von Unger, M., and Warnken, M.: A global agenda for
collective action on soil carbon, Nat. Sustain., 2, 2–4,
https://doi.org/10.1038/s41893-018-0212-z, 2019.
Vertès, F., Simon, J.-C., Laurent, F., and Besnard, A.: Prairies et
qualité de l'eau. Evaluation des risques de lixiviation d'azote et
optimisation des pratiques, Fourrag., 192, 423–440, 2007.
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.
Wallach, D.: Evaluating Crop Models, in: Working with Dynamic Crop Models Evaluation, Analysis, Parameterization, and Applications, edited by: Wallach, D., Makowski, D., and Jones, J. W., Elsevier, Amsterdam, 11–54, 2006.
Wickham, H.: Reshaping Data with the reshape Package, J. Stat. Softw., 21, 1–20,
https://doi.org/10.18637/jss.v021.i12, 2007.
Wickham, H.: ggplot2: Elegant Graphics for Data Analysis, Springer-Verlag,
New York, ISBN 978-3-319-24277-4, 2016.
Wiesmeier, M., Urbanski, L., Hobley, E., Lang, B., von Lützow, M.,
Marin-Spiotta, E., van Wesemael, B., Rabot, E., Ließ, M., Garcia-Franco,
N., Wollschläger, U., Vogel, H. J., and Kögel-Knabner, I.: Soil
organic carbon storage as a key function of soils – A review of drivers and
indicators at various scales, Geoderma, 333, 149–162,
https://doi.org/10.1016/j.geoderma.2018.07.026, 2019.
Wutzler, T. and Reichstein, M.: Soils apart from equilibrium – Consequences
for soil carbon balance modelling, Biogeosciences, 4, 125–136,
https://doi.org/10.5194/bg-4-125-2007, 2007.
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,
2007a.
Zimmermann, M., Leifeld, J., and Fuhrer, J.: Quantifying soil organic carbon
fractions by infrared-spectroscopy, Soil Biol. Biochem., 39, 224–231,
https://doi.org/10.1016/j.soilbio.2006.07.010, 2007b.
Short summary
Soil organic carbon (SOC) is crucial for climate regulation, soil quality, and food security. Predicting its evolution over the next decades is key for appropriate land management policies. However, SOC projections lack accuracy. Here we show for the first time that PARTYSOC, an approach combining thermal analysis and machine learning optimizes the accuracy of SOC model simulations at independent sites. This method can be applied at large scales, improving SOC projections on a continental scale.
Soil organic carbon (SOC) is crucial for climate regulation, soil quality, and food security....
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