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Modelling N2O emission from a forest upland soil: A procedure for an automatic calibration of the biogeochemical model Forest-DNDC

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  • Lamers, Marc
  • Ingwersen, Joachim
  • Streck, Thilo

Abstract

During the last decade biogeochemical models such as DNDC or PnET-N-DNDC have been widely used to simulate gaseous emissions from soil. So far, no efforts have been made to automatically calibrate such biogeochemical models. The aim of this study was to demonstrate a procedure for an automatic calibration of the Forest-DNDC model. We linked Forest-DNDC with a computer code for universal inverse modelling (UCODE). The model was calibrated and validated for an upland soil (Endoskeletic Cambisol) on the basis of a 4-year field data set from the study site “Wildmooswald” (Black Forest, Germany). Our results show that the software linkage between Forest-DNDC and UCODE yields a useful tool for model calibration. The calibration markedly improved model performance for the periods 2001–2002 and 2003–2004 by reducing the error variance by up to a factor of two. For the period 2003–2004, the default simulation underestimated the measured mean daily N2O emission by 41%. After calibration the model performed much better. The calibrated simulation overestimated mean daily N2O emission only by 7%.

Suggested Citation

  • Lamers, Marc & Ingwersen, Joachim & Streck, Thilo, 2007. "Modelling N2O emission from a forest upland soil: A procedure for an automatic calibration of the biogeochemical model Forest-DNDC," Ecological Modelling, Elsevier, vol. 205(1), pages 52-58.
    • Handle: RePEc:eee:ecomod:v:205:y:2007:i:1:p:52-58
    DOI: 10.1016/j.ecolmodel.2007.02.007
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    Cited by:

    1. Zhao, Zheng & Cao, Linkui & Deng, Jia & Sha, Zhimin & Chu, Changbin & Zhou, Deping & Wu, Shuhang & Lv, Weiguang, 2020. "Modeling CH4 and N2O emission patterns and mitigation potential from paddy fields in Shanghai, China with the DNDC model," Agricultural Systems, Elsevier, vol. 178(C).
    2. Treydte, A.C. & Salvatierra, A. & Sauerborn, J. & Lamers, M., 2011. "Modelling llama population development under environmental and market constraints in the Bolivian highlands," Ecological Modelling, Elsevier, vol. 222(17), pages 3157-3165.
    3. Gilhespy, Sarah L. & Anthony, Steven & Cardenas, Laura & Chadwick, David & del Prado, Agustin & Li, Changsheng & Misselbrook, Thomas & Rees, Robert M. & Salas, William & Sanz-Cobena, Alberto & Smith, , 2014. "First 20 years of DNDC (DeNitrification DeComposition): Model evolution," Ecological Modelling, Elsevier, vol. 292(C), pages 51-62.
    4. Rafique, Rashad & Kumar, Sandeep & Luo, Yiqi & Kiely, Gerard & Asrar, Ghassem, 2015. "An algorithmic calibration approach to identify globally optimal parameters for constraining the DayCent model," Ecological Modelling, Elsevier, vol. 297(C), pages 196-200.
    5. He, Hongxing & Jansson, Per-Erik & Svensson, Magnus & Meyer, Astrid & Klemedtsson, Leif & Kasimir, Åsa, 2016. "Factors controlling Nitrous Oxide emission from a spruce forest ecosystem on drained organic soil, derived using the CoupModel," Ecological Modelling, Elsevier, vol. 321(C), pages 46-63.
    6. Grossel, A. & Nicoullaud, B. & Bourennane, H. & Rochette, P. & Guimbaud, C. & Chartier, M. & Catoire, V. & Hénault, C., 2014. "Simulating the spatial variability of nitrous oxide emission from cropped soils at the within-field scale using the NOE model," Ecological Modelling, Elsevier, vol. 288(C), pages 155-165.

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