• ISSN 1008-505X
  • CN 11-3996/S
王树会, 张旭博, 孙楠, 李忠芳, 徐明岗. 2050年农田土壤温室气体排放及碳氮储量变化SPACSYS模型预测[J]. 植物营养与肥料学报, 2018, 24(6): 1550-1565. DOI: 10.11674/zwyf.18216
引用本文: 王树会, 张旭博, 孙楠, 李忠芳, 徐明岗. 2050年农田土壤温室气体排放及碳氮储量变化SPACSYS模型预测[J]. 植物营养与肥料学报, 2018, 24(6): 1550-1565. DOI: 10.11674/zwyf.18216
WANG Shu-hui, ZHANG Xu-bo, SUN Nan, LI Zhong-fang, XU Ming-gang. Prediction of greenhouse gas emissions and carbon and nitrogen stocks in farmland soils in 2050 by SPACSYS model[J]. Journal of Plant Nutrition and Fertilizers, 2018, 24(6): 1550-1565. DOI: 10.11674/zwyf.18216
Citation: WANG Shu-hui, ZHANG Xu-bo, SUN Nan, LI Zhong-fang, XU Ming-gang. Prediction of greenhouse gas emissions and carbon and nitrogen stocks in farmland soils in 2050 by SPACSYS model[J]. Journal of Plant Nutrition and Fertilizers, 2018, 24(6): 1550-1565. DOI: 10.11674/zwyf.18216

2050年农田土壤温室气体排放及碳氮储量变化SPACSYS模型预测

Prediction of greenhouse gas emissions and carbon and nitrogen stocks in farmland soils in 2050 by SPACSYS model

  • 摘要:
    目的 优化华北平原农田土壤的施肥措施,实现维持农田作物产量、提升土壤肥力的同时减少温室气体排放。
    方法 基于长期定位试验观测数据,选取氮磷钾化肥 (NPK)、有机肥配施化肥 (NPKM) 和单施有机肥 (OM) 三个试验处理来评价和验证过程模型 (SPACSYS) 对不同施肥措施下的作物产量、土壤有机碳 (SOC) 和土壤全氮 (TN) 储量及土壤CO2和N2O排放动态变化的模拟效果,并预测至2050年不同施肥情景和肥料配施情景下作物产量、SOC、TN储量及土壤CO2和N2O排放量。
    结果 统计分析结果表明,SPACSYS模型的小麦和玉米产量模拟值与实测值的相关系数R2为0.63~0.78,RMSE为3.78%~4.86%,EF为0.59~0.73;土壤有机碳和全氮储量模拟值与实测值的R2为0.73~0.89,RMSE为2.69%~3.79%,EF为0.67~0.82;土壤CO2和N2O排放量模拟值与实测值的R2为0.16~0.80,RMSE为4.03%~9.99%,EF为0.24~0.78,相关性均达到显著水平,表明SPACSYS模型模拟值的可靠性和准确性较高。利用该模型进行预测,结果显示到2050年,在当前施氮水平下,减氮50%会显著降低玉米产量约9%;减氮25%,与单施化肥处理相比,有机肥配施化肥处理和单施有机肥处理分别显著提高SOC年均储量约31%和62%,提高TN年均储量约18%和6%,而CO2和N2O年均排放量均没有显著增加。
    结论 SPACSYS模型可以模拟中国华北平原典型农田冬小麦−夏玉米轮作体系的农作物产量、SOC和TN储量以及土壤CO2和N2O的排放情况。但是模型低估了OM处理的全氮储量,下一步研究需对模型做相应改进。至2050年,施用化肥和有机肥均可不同程度地提高有机碳和全氮储量,且该地区可适当降低氮肥施用量 (减氮25%),并采用有机肥配施化肥或单施有机肥的方式来维持作物产量、提升土壤肥力,同时降低温室气体排放。

     

    Abstract:
    Objectives To optimize the fertilization regimes for cropland in the North China Plain, and to maintain crop yields and improve soil fertility while reducing greenhouse gas emissions.
    Methods Based on the observation data of long-term experiment, three treatments of NPK, NPKM and OM were used to calibrate and validate the process model (SPACSYS) of modeling crop yields, soil organic carbon (SOC) and total nitrogen (TN) storages, and dynamic changes of soil CO2 and N2O emissions, and predict the response of those items to different fertilizers and fertilization scenarios by 2050.
    Results Statistical analysis showed that the SPACSYS model gave a reliable and accurate simulation on the wheat yield and maize yields (R2 0.63−0.78, RMSE 3.78%−4.86%, EF 0.59−0.73), SOC and TN storages (R2 0.73−0.89, RMSE 2.69%−3.79%, EF 0.67−0.82) and soil CO2 and N2O emissions (R2 0.16−0.80, RMSE 4.03%−9.99%, EF 0.24−0.78), all the three correlations reached significant levels. According to the predictions of the model, reducing 50% of current nitrogen input would significantly reduce maize yield by 9%; reducing 25% of nitrogen fertilizer would not reduce yields significantly, and if combined with manure or applying the same manure N alone, the average annual SOC and TN storages could be significantly improved by 31%, 62% and 18%, 6%, while the average annual CO2 and N2O emissions would not be significantly increased, compared with single application of chemical fertilizers.
    Conclusions The SPACSYS model can simulate crop yields, SOC and TN storages, and soil CO2 and N2O emissions of the winter wheat−summer maize cropping system in the typical farmland of the North China Plain. However, the model underestimates the total N storages when organic manure is applied alone, need further improvements of the model parameters for the situation. According to the prediction, both the application of chemical fertilizers and manures can increase the SOC and TN storages with different degrees, and 25% of reduction of current nitrogen fertilizer level under combined application with manure or application of manure N alone could maintain crop yields, improve soil fertility and reduce greenhouse gas emissions in this region by 2050.

     

/

返回文章
返回