Complementarity and drivers of thermal and physical soil organic carbon fractions at the scale of mainland France
Authors: Delahaie Amicie , Cécillon Lauric , Chenu Claire , Arrouays Dominique , Boulonne Line , Jolivet Claudy , Ratié Céline , Saby Nicolas , Stojanova Marija , Bispo Antonio , Martin Manuel , Arbelet Pierre , Heinonsalo Jussi , Poeplau Christopher , Karhu Kristiina , Roudier Pierre , Abiven Samuel , Pacini Lorenza , Barré Pierre 
Published: February 2023

Assessing soil organic carbon biogeochemical stability is critical for estimating future changes in soil carbon stocks. Several methods for the assessment of soil organic carbon (SOC) biogeochemical stability have been proposed but very few can be implemented on large sample sets. Indeed, to date, only simple physical fractionation protocols (e.g. Lavallee et al., 2020) and Rock-Eval&#174; thermal analysis techniques (Delahaie et al., 2022, SOIL discussion) have been implemented on data sets larger than a few hundred samples. Simple fractionation techniques allow separating a particulate organic carbon fraction (POC; considered labile) and an organic fraction associated with minerals (MaOC; considered more stable). Regarding thermal analyses, Rock-Eval&#174; results associated to the PARTYsoc machine-learning model (C&#233;cillon et al., 2021) provide a measure of the active (mean residence time of ca. 30 years) and centennially stable SOC fractions.In this study, we present the results of physical fractionations performed on ca. 1000 samples and thermal analyses performed on ca. 2000 samples from French mainland topsoils (RMQS program). We compare the amount and the drivers of each fraction. Our results show that most of the MaOC fraction is not stable at a centennial timescale. However, we show using a Random Forest model that the MaOC content and the centennially stable SOC content are similarly influenced by a common set of drivers: clay, pH and climatic conditions (mean annual temperature and mean annual precipitation). Finally, we discuss the complementarity of these two types of relatively high-throughput fractionation protocols.&#160;ReferencesC&#233;cillon, L., Baudin, F., Chenu, C., Christensen, B. T., Franko, U., Houot, S., Kanari, E., K&#228;tterer, T., Merbach, I., van Oort, F., Poeplau, C., Quezada, J. C., Savignac, F., Souc&#233;marianadin, L. N., & Barr&#233;, P. (2021). Partitioning soil organic carbon into its centennially stable and active fractions with machine-learning models based on Rock-Eval&#174; thermal analysis (PARTY SOC v2. 0 and PARTY SOC v2. 0 EU).&#160;Geoscientific Model Development,&#160;14(6), 3879-3898.
Delahaie, A. A., Barr&#233;, P., Baudin, F., Arrouays, D., Bispo, A., Boulonne, L., Chenu, C., Jolivet, C., Martin, M. P., Rati&#233;, C., Saby, N. P. A., Savignac, F., & C&#233;cillon, L. (2022). Elemental stoichiometry and Rock-Eval&#174; thermal stability of organic matter in French topsoils.&#160;EGUsphere, 1-31.
Lavallee, J. M., Soong, J. L., & Cotrufo, M. F. (2020). Conceptualizing soil organic matter into particulate and mineral&#8208;associated forms to address global change in the 21st century.&#160;Global Change Biology,&#160;26(1), 261-273.