RothC simulation of carbon accumulation in soil after repeated application of widely different organic amendments |
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| Institution: | 1. INRA, UMR 1091 EGC, Environnement et Grandes Cultures, 78850 Thiverval-Grignon, France;2. Veolia Environnement Recherche & Innovation, 291 Avenue Dreyfous Ducas, 78520 Limay, France;1. Department of Soil Management, Ghent University, B-9000 Ghent, Belgium;2. Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda;3. Aix-Marseille Univ, CNRS, INRA, IRD, Coll de France, CEREGE, 13545 Aix-en-Provence, France;4. University of California, CA 95343 Merced, USA;5. Department of Applied Analytical and Physical Chemistry, Ghent University, B-9000 Ghent, Belgium;6. U.S. Geological Survey, CA 94025 Menlo Park, USA;7. Institut für Geographie, Universität Augsburg, 86135 Augsburg, Germany;1. INRA, UMR01347, Agroécologie, Dijon, France;2. AgroSup Dijon, Dijon, France;3. INRA, UMR1402, Écologie fonctionnelle et écotoxicologie des agroécosystèmes, Thiverval-Grignon, France;4. CNRS, UMR 6282 Biogéosciences, Dijon, France;5. INRA, UE 0871 Service d''expérimentation Agronomique et Viticole, Colmar, France;6. INRA, UMR1069, Sol Agro et hydrosystème Spatialisation, Rennes, France;7. INRA, UMR 1391, Interaction Sol Plante Atmosphère, Villenave d''Ornon, France;8. Laboratoire Sols et Environnement, Université de Lorraine, INRA, Nancy, France |
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| Abstract: | Multi-compartment soil carbon (C) simulation models such as RothC are widely used for predicting changes in C stocks of arable soils. However, rigorous routines for establishing entry pools that account for the diversity of exogenous organic matter (EOM) applied to croplands are still lacking. We obtained data on changes in soil C stocks after repeated applications of EOM from four long-term experiments (LTEs): Askov K2 (Denmark, 31 yrs), Qualiagro (France, 11 yrs), SERAIL (France, 14 yrs) and Ultuna (Sweden, 52 yrs). The adjustment of the partition coefficients of total organic C in EOM (EOM-TOC) into the labile, resistant and humified entry pools of RothC (fDPM, fRPM, fHUM, respectively) provided a successful fit to the accumulation of EOM-derived C in the LTE soils. Equations estimating the EOM partition coefficients in the RothC model were based on an indicator (IROC) of the EOM-TOC potentially retained in soil. IROC was derived from the C found in the soluble, lignin + cutin-like and cellulose-like Van Soest fractions and the proportion of EOM-TOC mineralized during 3 days of incubation. Using the EOM partition coefficients derived from these laboratory analyses resulted in RothC simulations with only slightly larger errors than simulations based on partition coefficients fitted from LTE soil data, except for EOMs that caused very large accumulations of C in soil (e.g. peat) possibly due to factors not accounted for in the RothC model, such as change in soil pH. The proposed partitioning of EOM-TOC allows the potential soil C storage after EOM applications to be predicted regardless of field location and specific composition of EOMs. |
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