在简要介绍DNDC模型(脱氮分解模型)及其在中国的应用与改进基础上，综述了中国学者利用该模型模拟与估算农田温室气体排放和减排调控方面的研究进展，提出未来模型在中国的发展应针对中国农业种植体系的特点，增加模型模块，修正模型参数，建立跨尺度农田生态系统综合评估模型，加强大尺度和长时间序列的温室气体排放模拟与预测研究。同时，加强遥感和地理信息系统技术与模型的结合，以提高区域尺度模拟和预测精度，降低模拟结果的不确定性。

On the basis of a brief introduction of the DNDC model (denitrification decomposition model) and its application and improvement in China, this paper reviews the research progress of Chinese scholars in simulating and estimating greenhouse gas emissions and emission reduction and regulation in farmland by using this model, and proposes that the future model development in China should be based on the characteristics of China's agricultural planting system, add the model module, modify the model parameters, establish a cross-scale farmland ecosystem comprehensive assessment model, and strengthen the large-scale and long-term time series of greenhouse gas emissions simulation and prediction research. At the same time, the combination of remote sensing and GIS technology and models should be strengthened to improve the accuracy of regional scale simulation and prediction and reduce the uncertainty of simulation results.

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甘肃省科技厅国际合作项目“固定道保护性耕作应对气候变化的固碳减排技术研究”(1604WKCA005)。