Articles | Volume 10, issue 2
https://doi.org/10.5194/soil-10-795-2024
https://doi.org/10.5194/soil-10-795-2024
Original research article
 | 
12 Nov 2024
Original research article |  | 12 Nov 2024

Investigating the complementarity of thermal and physical soil organic carbon fractions

Amicie A. Delahaie, Lauric Cécillon, Marija Stojanova, Samuel Abiven, Pierre Arbelet, Dominique Arrouays, François Baudin, Antonio Bispo, Line Boulonne, Claire Chenu, Jussi Heinonsalo, Claudy Jolivet, Kristiina Karhu, Manuel Martin, Lorenza Pacini, Christopher Poeplau, Céline Ratié, Pierre Roudier, Nicolas P. A. Saby, Florence Savignac, and Pierre Barré

Data sets

Rock-Eval® thermal analysis results of the first RMQS campaign topsoil samples Amicie Delahaie et al. https://doi.org/10.57745/KVUTRB

Statistiques sommaires issues du RMQS sur les données agronomiques et en éléments traces des sols français de 0 à 50 cm Nicolas Saby et al. https://doi.org/10.15454/BNCXYB

Model code and software

SOC fractions drivers Marija Stojanova and Amicie Delahaie https://doi.org/10.5281/zenodo.10551240

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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.