Articles | Volume 14, issue 6
Geosci. Model Dev., 14, 3879–3898, 2021
Geosci. Model Dev., 14, 3879–3898, 2021

Model description paper 24 Jun 2021

Model description paper | 24 Jun 2021

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)

Lauric Cécillon et al.

Related authors

Long-term bare-fallow soil fractions reveal thermo-chemical properties controlling soil organic carbon dynamics
Mathieu Chassé, Suzanne Lutfalla, Lauric Cécillon, François Baudin, Samuel Abiven, Claire Chenu, and Pierre Barré
Biogeosciences, 18, 1703–1718,,, 2021
Short summary
A model based on Rock-Eval thermal analysis to quantify the size of the centennially persistent organic carbon pool in temperate soils
Lauric Cécillon, François Baudin, Claire Chenu, Sabine Houot, Romain Jolivet, Thomas Kätterer, Suzanne Lutfalla, Andy Macdonald, Folkert van Oort, Alain F. Plante, Florence Savignac, Laure N. Soucémarianadin, and Pierre Barré
Biogeosciences, 15, 2835–2849,,, 2018
Ideas and perspectives: Can we use the soil carbon saturation deficit to quantitatively assess the soil carbon storage potential, or should we explore other strategies?
Pierre Barré, Denis A. Angers, Isabelle Basile-Doelsch, Antonio Bispo, Lauric Cécillon, Claire Chenu, Tiphaine Chevallier, Delphine Derrien, Thomas K. Eglin, and Sylvain Pellerin
Biogeosciences Discuss.,,, 2017
Manuscript not accepted for further review
Short summary

Related subject area

SolveSAPHE-r2 (v2.0.1): revisiting and extending the Solver Suite for Alkalinity-PH Equations for usage with CO2, HCO3 or CO32− input data
Guy Munhoven
Geosci. Model Dev., 14, 4225–4240,,, 2021
Short summary
Modeling gas exchange and biomass production in West African Sahelian and Sudanian ecological zones
Jaber Rahimi, Expedit Evariste Ago, Augustine Ayantunde, Sina Berger, Jan Bogaert, Klaus Butterbach-Bahl, Bernard Cappelaere, Jean-Martial Cohard, Jérôme Demarty, Abdoul Aziz Diouf, Ulrike Falk, Edwin Haas, Pierre Hiernaux, David Kraus, Olivier Roupsard, Clemens Scheer, Amit Kumar Srivastava, Torbern Tagesson, and Rüdiger Grote
Geosci. Model Dev., 14, 3789–3812,,, 2021
Short summary
Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5
Leah Birch, Christopher R. Schwalm, Sue Natali, Danica Lombardozzi, Gretchen Keppel-Aleks, Jennifer Watts, Xin Lin, Donatella Zona, Walter Oechel, Torsten Sachs, Thomas Andrew Black, and Brendan M. Rogers
Geosci. Model Dev., 14, 3361–3382,,, 2021
Short summary
Cutting out the middleman: calibrating and validating a dynamic vegetation model (ED2-PROSPECT5) using remotely sensed surface reflectance
Alexey N. Shiklomanov, Michael C. Dietze, Istem Fer, Toni Viskari, and Shawn P. Serbin
Geosci. Model Dev., 14, 2603–2633,,, 2021
Short summary
Ecosystem age-class dynamics and distribution in the LPJ-wsl v2.0 global ecosystem model
Leonardo Calle and Benjamin Poulter
Geosci. Model Dev., 14, 2575–2601,,, 2021
Short summary

Cited articles

Abiven, S., Menasseri, S., and Chenu, C.: The effects of organic inputs over time on soil aggregate stability – A literature analysis, Soil Biol. Biochem., 41, 1–12,, 2009. 
Amundson, R., Berhe, A. A., Hopmans, J. W., Olson, C., Sztein, A. E., and Sparks, D. L.: Soil and human security in the 21st century, Science, 348, 1261071–1261071,, 2015. 
Ansorge, H.: Die Wirkung des Stallmistes im “Statischen Düngungsversuch” Lauchstädt, 2. Mitteilung: Veränderung des Humusgehaltes im Boden, 10, 401–412, 1966. 
Avery, B. W. and Catt, J. A.: The soil at Rothamsted, Lawes Agricultural Trust, Harpenden, 1995. 
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,, 2013. 
Short summary
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.