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Submitted on 5 Jun 2020
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Modelling crop management effects on soil organic C stocks and pools dynamics using CENTURY
Bassem Dimassi, Sabine Houot, Christian Morel, Robert Trochard, Alain Bouthier, Bruno Mary, Annie Duparque, Manuel Martin
To cite this version:
Bassem Dimassi, Sabine Houot, Christian Morel, Robert Trochard, Alain Bouthier, et al.. Modelling crop management effects on soil organic C stocks and pools dynamics using CENTURY. 5. Interna- tional Symposium on Soil Organic Matter, Sep 2015, Göttingen, Germany. 2015. �hal-02800168�
Modelling crop management effects on soil organic C stocks and pools dynamics using
CENTURY
aINRA, InfoSol Orléans, bINRA, ECOSYS Grignon, cINRA, UMR ISPA Bordeaux, *Contact: [email protected] dARVALIS Institut du Végétal, eINRA, AgroImpact Laon
fAgroTransfert, Estrées-Mons, France
Bassem Dimassi*a, Sabine Houotb, Christian Morelc, Robert Trochardd, Alain Bouthierd, Bruno Marye, Annie Duparquef, Manuel Martina
INTRODUCTION
METHODS
RESULTS and DISCUSSION
Conclusion
Arable soils and management practices constitute a major source of uncertainties in predicting C fluxes. This uncertainty is mainly due to antagonistic practices effects on SOC and is further greater when we consider national scale with some missing data. Modelling represent a valuable tool to better understanding and quantifying process that control SOM turnover. In this study, we used CENTURY model V. 4.5 to simulate the SOC dynamics in three long-term experiments in order to validate the model under French pedo-climatic conditions for different crop management. Here, we present first results of changes in SOC stocks and pools dynamics in response to different Exogenous Organic Matter (EOM) and inorganic P fertilization.
• Three long term experiments (>10 years): Feucherolles (A), Colmar (B) and Mant (C) France.
• Different (EOM) : cattle manure (CM) and urban waste (UW) (Feucherolles, Colmar), (high P) and without inorganic P (0 P) fertilizers (Mant).
The CENTURY ecosystem model V.4.5 was spin-up through two different blocks to achieve the equilibrium and for C pool initialization.
• The equilibrium sequence blocks (ESB) spanning 3000 years: (1) with 3-year rotation: wheat, oat and fallow (called maggese) [1] and (2) annual grassland
• ESB were followed by two blocks: (1) the current management crop for decades with less fertilization and moderate tillage and (2) the experiment.
• Despite the SOC stocks difference between the two ESB, at equilibrium, similar OC pools proportions were observed for the maggesse and grassland with 39,5% and 50% of OC for slow (som2c) and passive (som3c) pools, respectively, (fig.1).
Based on all these results, the model will be calibrated and soil and crop parameters will be optimized to better predict SOC dynamics at the territory scale, with consideration of initialization issues.
ACKNOWLEDGMENTS
This study received a financial support from ADEME under the framework of Csopra project within the REACCTIF project call, Arvalis-Institut du Végétal, and InfoSol, AgroImpact and ECOSYS units, INRA. We would like to thank technical assistants for their valuable laboratory assistance and samples analysis.
References
[1] Lugato et al., 2014 Potential carbon sequestration of European arable soils estimated by modelling a comprehensive set of management practices. GCB 20, 3557-3567.
The SOC stocks and pools dynamics simulated by CENTURY are illustrated in (fig. 2).
• Preliminary analysis showed that the model offer good predictive performance for SOC stocks (Table. 1), except for Colmar UW and control treatments.
• EOM increased essentially the slow C pool rather than passive or active pools.
• Simulation results for Mant and Colmar showed great bias in C grain suggesting the need for model calibration under French pedo-climatic conditions and crops.
fig.1 proportions of organic C pools for Grassland and maggese
INRA US-InfoSol
2163 Avenue de la pomme de pin, 45075 Ardon http://www.val-de-loire.inra.fr
fig. 2. ΔSOC dynamics of SOC stocks and pools (observed VS. simulated) for Feucherolles (1), FEU_UW, (2) FEU_CM and (3) FEU_C control, Colmar (4), Col_UW, (5) Col_CM and (6) Col_C and Mant (7) and Mant 0 P and (8) MANT high P.
a B
C
Table. 1. R2 values from simulation for different sites Feucherolles (FEU), Colmar(Col) and Mant (MANT) 1
2
3
4
5
6
7
8
SOC stocks C grain
R2 R2
FEU_UW 0,91 0,01
FEU_CM 0,91 0,01
FEU_C 0,71 0,13
Col_UW 0,01 0,04
Col_CM 0,01 0,04
Col_C 0,13 0,00
MANT 0 P 0,94 0,16
MANT high P 0,94 0,16
