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Data from long-term experiments in temperate croplands to evaluate soil organic carbon models

  • Kenji Fujisaki
  • , Fabien Ferchaud
  • , Hugues Clivot
  • , Elisa Bruni
  • , Bertrand Guenet
  • , Christian Pichot
  • , Antoine Versini
  • , Francois Baudin
  • , Antonio Bispo
  • , Philippe Peylin
  • , Manuel P. Martin
  • , Johannes L. Jensen
  • , Jorgen Eriksen
  • , Claire Chenu
  • , Andrew S. Gregory
  • , Margaret J. Glendining
  • , Ines Merbach
  • , Nicolas Beaudoin
  • , Bruno Mary
  • , Alain Mollier
  • Gilles Tison, Christophe Montagnier, Abad Chabbi, Francoise Vertes, Alice Cadero, Anne-Isabelle Graux, Sylvain Pellerin, Florent Levavasseur, Manon Gilles, Thierry Morvan, Camille Resseguier, Luis Milesi, Alicia Irizar, Adrian Andriulo, Marie-Noel Mistou, Arnaud Butier, Michel Bertrand, Benedicte Autret, Marie-Helene Jeuffroy, Gilles Grandeau, Thierry Dore, Vincent Cellier, Alain Berthier, Sebastien Darras, Guillaume Audebert, Ludovic Pasquier, Fabien Ecalle, Antoine Savoie, Marcus Schiedung, Christopher Poeplau, Nadia I. Maaroufi, Thomas Katterer, Martin A. Bolinder, Jonathan Sanderman, Pierre Barre

Publication: Contribution to journalJournal articlepeer-review

Abstract

Soil organic carbon (SOC) models need independent evaluation against field measurements, but those latter are rarely publicly available and harmonized. In this study, we collected and shared data from 167 agronomic treatments in 34 agronomic long-term experiments (LTEs) located in temperate croplands, allowing the evaluation of several soil organic C models such as RothC, Century, AMG, MIMICS, ICBM, Millenial, and CTOOL. The dataset includes climate data, soil properties, C inputs from crops (n = 4588 records) and organic amendments, irrigation data, monthly soil cover, as well as SOC stock measurements in the topsoil layer (n = 1328 records). Climate, soil moisture, and soil temperature data were extracted from daily climate databases. Carbon inputs from crops were calculated from observed yields and harvest index, with some harvest index values estimated, combined with crop allometric coefficients from the literature. Descriptions of LTE, agronomic treatments, methodological metadata, and a part of the code, accompanies the dataset. The dataset can be reused to evaluate single SOC models, or to evaluate an ensemble of models.
Original languageEnglish
Article number482
Number of pages15
JournalScientific Data
Volume13
Issue number1
DOIs
Publication statusPublished - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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