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Modeling N2O Emissions from Agricultural Fields in Southeast China

Keywords: N2O Emission,Model,Sensitive factor,Agricultural ecosystem

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Abstract:

DNDC, a rainfall-driven and process-oriented model of soil carbon and nitrogen biogeochemistry, is applied to simulate the nitrous oxide emissions from agricultural ecosystem in Southeast China. We simulated the soil N2O emission during a whole rice-wheat rotation cycle (from Nov. 1,1996 to Oct. 31, 1997) under three different conditions, which are A) no fertilizer, B) both chemical fertilizer and manure and, C) chemical fertilizer only. The processes of N2O emission were discussed in detail by comparing the model outputs with the results from field measurement. The comparison shows that the model is good at simulating most of the N3O emission pulses and trends. Although the simulated N2O emission fluxes are generally less than the measured ones, the model outputs during the dryland period, especially during the wheat reviving and maturing stages in spring, are much better than those during the paddy field period. Some sensitive experiments were made by simulating the N2O emissions in spring, when there is a smallest gap between the simulated fluxes and the measured ones. Meanwhile, the effects of some important regulating factors, such as the rainfall, N deposition by rainfall, temperature, tillage, ni?trogen fertilizer and manure application on N2O emission during this period were analyzed From the analysis, we draw a conclusion that soil moisture and fertilization are the most important regu?lating factors while the N2O emission is sensitive to some other factors, such as temperature, ma?nure, tillage and the wet deposition of atntospheric nitrate.

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