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Carbon sequestration in soils of SW-Germany as affected by agricultural management—Calibration of the EPIC model for regional simulations

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  • Billen, Norbert
  • Röder, Clara
  • Gaiser, Thomas
  • Stahr, Karl

Abstract

Global emissions trading allows for agricultural measures to be accounted for the carbon sequestration in soils. The Environmental Policy Integrated Climate (EPIC) model was tested for central European site conditions by means of agricultural extensification scenarios. Results of soil and management analyses of different management systems (cultivation with mouldboard plough, reduced tillage, and grassland/fallow establishment) on 13 representative sites in the German State Baden-Württemberg were used to calibrate the EPIC model. Calibration results were compared to those of the Intergovernmental Panel on Climate Change (IPCC) prognosis tool. The first calibration step included adjustments in (a) N depositions, (b) N2-fixation by bacteria during fallow, and (c) nutrient content of organic fertilisers according to regional values. The mixing efficiency of implements used for reduced tillage and four crop parameters were adapted to site conditions as a second step of the iterative calibration process, which should optimise the agreement between measured and simulated humus changes. Thus, general rules were obtained for the calibration of EPIC for different criteria and regions. EPIC simulated an average increase of +0.341Mghumus-Cha−1a−1 for on average 11.3 years of reduced tillage compared to land cultivated with mouldboard plough during the same time scale. Field measurements revealed an average increase of +0.343MgCha−1a−1 and the IPCC prognosis tool +0.345MgCha−1a−1. EPIC simulated an average increase of +1.253MgCha−1a−1 for on average 10.6 years of grassland/fallow establishment compared to an average increase of +1.342Mghumus-Cha−1a−1 measured by field measurements and +1.254MgCha−1a−1 according to the IPCC prognosis tool. The comparison of simulated and measured humus C stocks was r2≥0.825 for all treatments. However, on some sites deviations between simulated and measured results were considerable. The result for the simulation of yields was similar. In 49% of the cases the simulated yields differed from the surveyed ones by more than 20%. Some explanations could be found by qualitative cause analyses. Yet, for quantitative analyses the available information from farmers was not sufficient. Altogether EPIC is able to represent the expected changes by reduced tillage or grassland/fallow establishment acceptably under central European site conditions of south-western Germany.

Suggested Citation

  • Billen, Norbert & Röder, Clara & Gaiser, Thomas & Stahr, Karl, 2009. "Carbon sequestration in soils of SW-Germany as affected by agricultural management—Calibration of the EPIC model for regional simulations," Ecological Modelling, Elsevier, vol. 220(1), pages 71-80.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:1:p:71-80
    DOI: 10.1016/j.ecolmodel.2008.08.015
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    References listed on IDEAS

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    1. Gaiser, Thomas & Stahr, Karl & Billen, Norbert & Mohammad, Mohammad Abdel-Razek, 2008. "Modeling carbon sequestration under zero tillage at the regional scale. I. The effect of soil erosion," Ecological Modelling, Elsevier, vol. 218(1), pages 110-120.
    2. Zhao, Jinhua & Kurkalova, Lyubov A. & Kling, Catherine L., 2004. "Alternative Green Payment Policies When Multiple Benefits Matter," Agricultural and Resource Economics Review, Cambridge University Press, vol. 33(1), pages 148-158, April.
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    1. Le, Kieu N. & Jeong, Jaehak & Reyes, Manuel R. & Jha, Manoj K. & Gassman, Philip W. & Doro, Luca & Hok, Lyda & Boulakia, Stéphane, 2018. "Evaluation of the performance of the EPIC model for yield and biomass simulation under conservation systems in Cambodia," Agricultural Systems, Elsevier, vol. 166(C), pages 90-100.
    2. Balkovič, Juraj & van der Velde, Marijn & Schmid, Erwin & Skalský, Rastislav & Khabarov, Nikolay & Obersteiner, Michael & Stürmer, Bernhard & Xiong, Wei, 2013. "Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation," Agricultural Systems, Elsevier, vol. 120(C), pages 61-75.
    3. Xiong, Wei & Balkovič, Juraj & van der Velde, Marijn & Zhang, Xuesong & Izaurralde, R. César & Skalský, Rastislav & Lin, Erda & Mueller, Nathan & Obersteiner, Michael, 2014. "A calibration procedure to improve global rice yield simulations with EPIC," Ecological Modelling, Elsevier, vol. 273(C), pages 128-139.
    4. van Zelm, Rosalie & van der Velde, Marijn & Balkovic, Juraj & Čengić, Mirza & Elshout, Pieter M.F. & Koellner, Thomas & Núñez, Montserrat & Obersteiner, Michael & Schmid, Erwin & Huijbregts, Mark A.J., 2018. "Spatially explicit life cycle impact assessment for soil erosion from global crop production," Ecosystem Services, Elsevier, vol. 30(PB), pages 220-227.
    5. Kieu N. Le & Manoj K. Jha & Jaehak Jeong & Philip W. Gassman & Manuel R. Reyes & Luca Doro & Dat Q. Tran & Lyda Hok, 2018. "Evaluation of Long-Term SOC and Crop Productivity within Conservation Systems Using GFDL CM2.1 and EPIC," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    6. Chiara Piccini & Roberta Farina & Claudia Di Bene & Silvia Vanino & Rosario Napoli, 2023. "Modeling Soil Health Indicators to Assess the Effectiveness of Sustainable Soil Management on Mediterranean Arable Land," Land, MDPI, vol. 12(11), pages 1-17, October.
    7. Gaiser, Thomas & Abdel-Razek, Mohammad & Bakara, Heike, 2009. "Modeling carbon sequestration under zero-tillage at the regional scale. II. The influence of crop rotation and soil type," Ecological Modelling, Elsevier, vol. 220(23), pages 3372-3379.

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