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Evaluation of the DNDC model for simulating soil temperature, moisture and respiration from monoculture and rotational corn, soybean and winter wheat in Canada

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  • Li, Zhuoting
  • Yang, J.Y.
  • Drury, C.F.
  • Yang, X.M.
  • Reynolds, W.D.
  • Li, Xiaogang
  • Hu, Chunsheng

Abstract

Process-based modelling studies can help to interpret experimental results and gain more insights into CO2 fluxes in agro-ecosystems. The objective of this study was to evaluate the ability of the DeNitrification-DeComposition (DNDC) model to predict field-measured soil temperature, moisture, and respiration (daily and seasonal) in monoculture versus rotational cropping systems. Field measurements (2003–2005) from monoculture cropping (corn, Zea mays L.; soybean, Glycine max L.; and winter wheat, Triticum aestivum L.), as well as from 2-yr (corn-soybean) and 3-yr (corn-soybean-winter wheat) crop rotations in southwestern Ontario, Canada were used for model calibration and evaluation. Model simulated soil (0–10cm) temperature (nRMSE=8–9%, d=0.97 and EF=0.87–0.90) and moisture (nRMSE=15–22%, d≥0.7 and EF≥0) agreed well with the growing season field measurements. Predicted daily soil CO2 fluxes were accurate for corn (under both monoculture and rotation) and winter wheat (under monoculture) (nRMSE=56–70%, d>0.7, slope=0.60–0.88, R2=0.36–0.48). The overestimation in daily soil CO2 fluxes for winter wheat phase under the 3-yr rotation could be addressed by decreasing the root: shoot ratio. The simulated temporal offset in the soil CO2 fluxes for soybean could be improved by adjusting crop parameters (thermal degree days for crop maturity and root: shoot ratio). The simulated cumulative seasonal soil CO2 fluxes were not statistically different from the measured CO2 fluxes for corn, soybean and winter wheat as indicated by the paired-t test (p=0.17–1.00). The impacts of monoculture and rotation cropping on seasonal root autotrophic respiration (RA), soil heterotrophic respiration (RH) and RH/RS ratios for corn, soybean and winter wheat were attributed to the different biomass production and residue C input management systems. The RH contributed more to total soil respiration for corn (during the growing season) under monoculture (RH/RS=42%) than when it was grown in rotation (26–29%), while ratios of RH/RS were similar among monocultural and rotational soybean (41–49%) and winter wheat (31–40%). The current litter C level and consequently annual RH were driven by the litter C input carried over from previous crop. When carbon in the harvested grain was taken into account in the carbon budget, corn would act as a strong net carbon sink (3year average of −975, −2675 and −3151kgCha−1yr−1 under monoculture, 2-yr and 3-yr rotations, respectively), while soybean and winter wheat would act as weak net carbon source under both monoculture and rotation. The DNDC model was found to be able to simulate soil temperature, moisture, and soil respiration for corn and winter wheat under both monoculture and rotation in humid southwestern Ontario, Canada but crop parameter adjustments are required to simulate soybean.

Suggested Citation

  • Li, Zhuoting & Yang, J.Y. & Drury, C.F. & Yang, X.M. & Reynolds, W.D. & Li, Xiaogang & Hu, Chunsheng, 2017. "Evaluation of the DNDC model for simulating soil temperature, moisture and respiration from monoculture and rotational corn, soybean and winter wheat in Canada," Ecological Modelling, Elsevier, vol. 360(C), pages 230-243.
    • Handle: RePEc:eee:ecomod:v:360:y:2017:i:c:p:230-243
    DOI: 10.1016/j.ecolmodel.2017.07.013
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    1. Yang, J.M. & Yang, J.Y. & Liu, S. & Hoogenboom, G., 2014. "An evaluation of the statistical methods for testing the performance of crop models with observed data," Agricultural Systems, Elsevier, vol. 127(C), pages 81-89.
    2. Li, Zhuo Ting & Yang, J.Y. & Drury, C.F. & Hoogenboom, G., 2015. "Evaluation of the DSSAT-CSM for simulating yield and soil organic C and N of a long-term maize and wheat rotation experiment in the Loess Plateau of Northwestern China," Agricultural Systems, Elsevier, vol. 135(C), pages 90-104.
    3. Li, Yong & White, Robert & Chen, Deli & Zhang, Jiabao & Li, Baoguo & Zhang, Yuming & Huang, Yuanfang & Edis, Robert, 2007. "A spatially referenced water and nitrogen management model (WNMM) for (irrigated) intensive cropping systems in the North China Plain," Ecological Modelling, Elsevier, vol. 203(3), pages 395-423.
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    1. Qiliang Huang & Nobuko Katayanagi & Masakazu Komatsuzaki & Tamon Fumoto, 2025. "Field Validation of the DNDC-Rice Model for Crop Yield, Nitrous Oxide Emissions and Carbon Sequestration in a Soybean System with Rye Cover Crop Management," Agriculture, MDPI, vol. 15(14), pages 1-18, July.
    2. Kamkar, Behnam & Feyzbakhsh, Mohammad Taghi & Mokhtarpour, Hassan & Barbir, Jelena & Grahić, Jasmin & Tabor, Sylwester & Azadi, Hossein, 2023. "Effect of heat stress during anthesis on the Summer Maize grain formation: Using integrated modelling and multi-criteria GIS-based method," Ecological Modelling, Elsevier, vol. 481(C).

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