Evaluation of the DNDC Model to Estimate Soil Parameters, Crop Yield and Nitrous Oxide Emissions for Alternative Long-Term Multi-Cropping Systems in the North China Plain
Evaluation of the DNDC Model to Estimate Soil Parameters, Crop Yield and Nitrous Oxide Emissions for Alternative Long-Term Multi-Cropping Systems in the North China Plain
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DOI：
10.3390/agronomy12010109
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发表时间：
2022-01
期刊：
影响因子：
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通讯作者：
M. Abdalla;Xiao-Zong Song;X. Ju;Peter Smith
中科院分区：
文献类型：
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作者：
M. Abdalla;Xiao-Zong Song;X. Ju;Peter Smith
优化作物轮作是增加碳固存的可持续管理策略之一。本研究的主要目的是评估反硝化分解（DNDC）模型用于估算河北省长期复作制度下土壤参数（温度、湿度、可交换NO3−和NH4+）、作物产量和氧化亚氮（N2O）排放。利用5年的土壤参数、作物产量和N2O排放数据对该模型进行了验证。DNDC模型有效地模拟了所有作物的日土壤温度、土壤累积氮和作物产量。它很好地预测了观测到的每日一氧化二氮排放量的趋势及其累积值，但高估了一些峰值的幅度。然而，该模型低估了日充水孔隙空间，特别是在干旱季节，并且难以正确估计日交换NO3−和NH4+。观测和模拟累积N2O结果均表明，与常规种植制度相比，优化和替代种植制度使用的氮肥较少，粮食产量增加，N2O排放减少。我们的研究表明，尽管DNDC模型（v. 9.5）在估计这些长期多作系统的每日N2O排放量方面并不完美，但它仍然可以是预测累积排放量的有效工具。
Optimizing crop rotations is one of the proposed sustainable management strategies for increasing carbon sequestration. The main aim of this study was to evaluate the DeNitrification-DeComposition (DNDC) model for estimating soil parameters (temperature, moisture and exchangeable NO3− and NH4+), crop yield and nitrous oxide (N2O) emissions for long-term multi-cropping systems in Hebei, China. The model was validated using five years of data of soil parameters, crop yields and N2O emissions. The DNDC model effectively simulated daily soil temperature, cumulative soil nitrogen and crop yields of all crops. It predicted the trends of observed daily N2O emissions and their cumulative values well but overestimated the magnitude of some peaks. However, the model underestimated daily water filled pore space, especially in dry seasons, and had difficulties in correctly estimating daily exchangeable NO3− and NH4+. Both observed and simulated cumulative N2O results showed that optimized and alternative cropping systems used less nitrogen fertiliser, increased grain yield and decreased N2O emissions compared to the conventional cropping system. Our study shows that although the DNDC model (v. 9.5) is not perfect in estimating daily N2O emissions for these long-term multi-cropping systems, it could still be an effective tool for predicting cumulative emissions.