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.
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
7 citations as recorded by crossref.
- Elemental stoichiometry and Rock-Eval® thermal stability of organic matter in French topsoils A. Delahaie et al. 10.5194/soil-9-209-2023
- European croplands under climate change: Carbon input changes required to increase projected soil organic carbon stocks E. Bruni et al. 10.1016/j.scitotenv.2024.176525
- Investigating the complementarity of thermal and physical soil organic carbon fractions A. Delahaie et al. 10.5194/soil-10-795-2024
- Reproducibility of Rock-Eval® thermal analysis for soil organic matter characterization L. Pacini et al. 10.1016/j.orggeochem.2023.104687
- 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. 10.1016/j.jenvman.2023.118850
- 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. 10.5194/soil-10-533-2024
- Linking Rock-Eval parameters to soil heterotrophic respiration and microbial residues in a black soil Y. Zhang et al. 10.1016/j.soilbio.2023.108939
7 citations as recorded by crossref.
- Elemental stoichiometry and Rock-Eval® thermal stability of organic matter in French topsoils A. Delahaie et al. 10.5194/soil-9-209-2023
- European croplands under climate change: Carbon input changes required to increase projected soil organic carbon stocks E. Bruni et al. 10.1016/j.scitotenv.2024.176525
- Investigating the complementarity of thermal and physical soil organic carbon fractions A. Delahaie et al. 10.5194/soil-10-795-2024
- Reproducibility of Rock-Eval® thermal analysis for soil organic matter characterization L. Pacini et al. 10.1016/j.orggeochem.2023.104687
- 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. 10.1016/j.jenvman.2023.118850
- 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. 10.5194/soil-10-533-2024
- Linking Rock-Eval parameters to soil heterotrophic respiration and microbial residues in a black soil Y. Zhang et al. 10.1016/j.soilbio.2023.108939
Latest update: 23 Nov 2024
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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