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首页> 外文会议>International Conference on Regional Carbon Budgets; 20060816-18; Beijing(CN) >Modeling soil carbon dynamics and optimizing management of the agro-ecosystem
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Modeling soil carbon dynamics and optimizing management of the agro-ecosystem

机译：建立土壤碳动力学模型并优化农业生态系统的管理

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Agriculture represents a significant opportunity for greenhouse gas mitigation projects through soil carbon sequestration. Find a proper management measurement is essential to reduce greenhouse gas emission, and in the same time keep the agriculture productivities. DNDC model has been developed to predict soil carbon and nitrogen biogeochemistry. In this study, DNDC model is i being used to estimate soil carbon dynamics and to make recommendations for soil carbonj sequestration under a wide scope of alternative management. DNDC was first validated against the data monitored in the field experiments. Validation results showed that DNDC was able to capture general patterns and magnitudes of agricultural soil CO_2. In the long-term experiments, simulated soil organic carbon showed the same temporal change with the measured data. The results showed that DNDC model was suitable for application in Yucheng. Soil carbon dynamics were modeled under baseline practice in 2003 and under alternative scenarios for reducing fertilizer use, no tillage, crop residue returns and increasing organic manure application. The baseline predicated results total SOC storage and CO_2 emission in agricultural lands in Yucheng were about 1899.7 xl06kgC and 188.0 x106kgC respectively. SOC was in negative balance. The effect of different management measurements varied greatly in carbon dynamics. By comparing the different measurements, the residue return and increase input of organic manure will be effective in soil carbon sequestration as single practice. Muti-practices regarding reducing fertilizer use and NT applied with other practices showed better effect on carbon sequestration.
机译：通过土壤碳固存，农业为减少温室气体的项目提供了重要的机会。找到适当的管理措施对于减少温室气体排放，同时保持农业生产力至关重要。已经开发了DNDC模型来预测土壤碳和氮的生物地球化学。在这项研究中，我将使用DNDC模型来估算土壤碳动态，并为广泛的替代管理下的土壤碳封存提出建议。 DNDC首先根据现场实验中监测的数据进行了验证。验证结果表明，DNDC能够捕获农业土壤CO_2的一般模式和大小。在长期实验中，模拟的土壤有机碳与实测数据显示出相同的时间变化。结果表明，DNDC模型适用于禹城。在2003年的基准实践和其他减少肥料使用，无耕种，农作物残渣返还和增加有机肥施用的情况下，对土壤碳动态进行了建模。基线预测结果表明，禹城农业用地的总SOC储存量和CO_2排放量分别约为1899.7 x106kgC和188.0 x106kgC。 SOC处于负平衡状态。不同管理措施的影响在碳动力学方面差异很大。通过比较不同的测量结果，作为单一实践，残留物的返回量和有机肥料的增加输入将对土壤固碳有效。关于减少肥料用量和NT与其他实践一起使用的共同做法对固碳效果更好。

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