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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Cited
21 citations as recorded by crossref.
- Predicting the proportion of centennially stable soil organic carbon using mid-infrared spectroscopy L. Pacini et al.
- Elemental stoichiometry and Rock-Eval® thermal stability of organic matter in French topsoils A. Delahaie et al.
- Investigating the complementarity of thermal and physical soil organic carbon fractions A. Delahaie et al.
- Drivers of high rates of carbon burial in a riverine-influenced freshwater marsh in the Long Point Walsingham Priority Place of southern Ontario A. Loder et al.
- Carbon soil stock change in an intensive crop field near Paris reveals significant carbon losses over a decade B. Loubet et al.
- Participatory research in ecology for agroecological transitions: a case study in viticulture B. Bedessem et al.
- Reproducibility of Rock-Eval® thermal analysis for soil organic matter characterization L. Pacini et al.
- The AMG model coupled with Rock-Eval® analysis accurately predicts cropland soil organic carbon dynamics in the Tuojiang River Basin, Southwest China Q. Wang et al.
- Sensitivity of soil organic carbon stabilization indicators to 24 years of land-use change across soil depth E. Kanari et al.
- Soil organic carbon, nitrogen, and enzyme activity in glaciated-derived agricultural landscapes of the U.S. Midwest H. Amorim et al.
- Technical note: Further adjustments to the Rock-Eval® thermal analysis for soil organic and inorganic carbon quantification to avoid post-hoc corrections J. Hazera et al.
- Microbial dormancy under freeze–thaw cycling regulates alpine soil responses to warming S. Qi et al.
- Understanding soil carbon durability: influencing factors, stabilization mechanisms, and research challenges N. Kerketta et al.
- Comparative analysis of organic carbon forms and their availability in diverse wetland ecosystems of Nantong, China M. Tisdell et al.
- Towards farm-level net-zero greenhouse gas emissions: Contributions of climate mitigation actions – A study of four European crop and dairy farms E. Miranda Oliveira et al.
- Choosing the appropriate methodology to monitor soil organic carbon (SOC) in croplands: aligning methods with evolving monitoring reporting verification (MRV) frameworks A. Ihasusta et al.
- European croplands under climate change: Carbon input changes required to increase projected soil organic carbon stocks E. Bruni et al.
- Effects of biochar, ligneous soil amendments, and a microbial stimulant on soil biological activity, and carbon content and stability after two-years of their application in a boreal cropland J. Heinonsalo et al.
- What is the stability of additional organic carbon stored thanks to alternative cropping systems and organic waste product application? A multi-method evaluation T. Kpemoua et al.
- Separating fast from slow cycling soil organic carbon – A multi-method comparison on land use change sites M. Schiedung et al.
- Linking Rock-Eval parameters to soil heterotrophic respiration and microbial residues in a black soil Y. Zhang et al.
21 citations as recorded by crossref.
- Predicting the proportion of centennially stable soil organic carbon using mid-infrared spectroscopy L. Pacini et al.
- Elemental stoichiometry and Rock-Eval® thermal stability of organic matter in French topsoils A. Delahaie et al.
- Investigating the complementarity of thermal and physical soil organic carbon fractions A. Delahaie et al.
- Drivers of high rates of carbon burial in a riverine-influenced freshwater marsh in the Long Point Walsingham Priority Place of southern Ontario A. Loder et al.
- Carbon soil stock change in an intensive crop field near Paris reveals significant carbon losses over a decade B. Loubet et al.
- Participatory research in ecology for agroecological transitions: a case study in viticulture B. Bedessem et al.
- Reproducibility of Rock-Eval® thermal analysis for soil organic matter characterization L. Pacini et al.
- The AMG model coupled with Rock-Eval® analysis accurately predicts cropland soil organic carbon dynamics in the Tuojiang River Basin, Southwest China Q. Wang et al.
- Sensitivity of soil organic carbon stabilization indicators to 24 years of land-use change across soil depth E. Kanari et al.
- Soil organic carbon, nitrogen, and enzyme activity in glaciated-derived agricultural landscapes of the U.S. Midwest H. Amorim et al.
- Technical note: Further adjustments to the Rock-Eval® thermal analysis for soil organic and inorganic carbon quantification to avoid post-hoc corrections J. Hazera et al.
- Microbial dormancy under freeze–thaw cycling regulates alpine soil responses to warming S. Qi et al.
- Understanding soil carbon durability: influencing factors, stabilization mechanisms, and research challenges N. Kerketta et al.
- Comparative analysis of organic carbon forms and their availability in diverse wetland ecosystems of Nantong, China M. Tisdell et al.
- Towards farm-level net-zero greenhouse gas emissions: Contributions of climate mitigation actions – A study of four European crop and dairy farms E. Miranda Oliveira et al.
- Choosing the appropriate methodology to monitor soil organic carbon (SOC) in croplands: aligning methods with evolving monitoring reporting verification (MRV) frameworks A. Ihasusta et al.
- European croplands under climate change: Carbon input changes required to increase projected soil organic carbon stocks E. Bruni et al.
- Effects of biochar, ligneous soil amendments, and a microbial stimulant on soil biological activity, and carbon content and stability after two-years of their application in a boreal cropland J. Heinonsalo et al.
- What is the stability of additional organic carbon stored thanks to alternative cropping systems and organic waste product application? A multi-method evaluation T. Kpemoua et al.
- Separating fast from slow cycling soil organic carbon – A multi-method comparison on land use change sites M. Schiedung et al.
- Linking Rock-Eval parameters to soil heterotrophic respiration and microbial residues in a black soil Y. Zhang et al.
Saved (final revised paper)
Latest update: 11 May 2026
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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