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In order to numerically simulate daily nitrous oxide(N2O) emission from a rice-winter wheat rotation cropping system,a process-based site model was developed(referred to as IAP-N-GAS) to track the movement and transformation of several forms of nitrogen in the agro-ecosystem,which is affected by climate,soil,crop growth and management practices.The simulation of daily N2O fluxes,along with key daily environmental variables,was validated with three-year observations conducted in East China.The validation demonstrated that the model simulated well daily solar radiation,soil temperature and moisture,and also captured the dynamics and magnitude of accumulated rice aboveground biomass and mineral nitrogen in the soil.The simulated daily N2O emissions over all three years investigated were generally in good agreement with field observations.Particularly well simulated were the peak N2O emissions induced by fertilizations,rainfall events or mid-season drainages.The model simulation also represented closely the inter-annual variation in N2O emission.These validations imply that the model has the capability to capture the general characteristics of N2O emission from a typical rice-wheat rotation agro-ecosystem.Sensitivity analyses revealed that the simulated N2O emission is most sensitive to the fertilizer application rate and the soil organic matter content,but it is much less sensitive to variations in soil pH and texture,temperature,precipitation and crop residue incorporation rate under local conditions.
In order to numerically simulate daily nitrous oxide (N2O) emission from a rice-winter wheat rotation cropping system, a process-based site model was developed (referred to as IAP-N-GAS) to track the movement and transformation of several forms of nitrogen in the agro-ecosystem, which is affected by climate, soil, crop growth and management practices. The simulation of daily N2O fluxes, along with key daily environmental variables, was validated with three-year observations conducted in East China. The phrase. that the model simulated well daily solar radiation, soil temperature and moisture, and also captured the dynamics and magnitude of accumulated rice aboveground biomass and mineral nitrogen in the soil. The simulated daily N2O emissions over all three years investigated were generally in good agreement with field observations. Partially well well were the peak N2O emissions induced by fertilizations, rainfall events or mid-season drainages. model simulation models sented closely the inter-annual variation in N2O emission. These validations imply that the model has the capability to capture the general characteristics of N2O emission from a typical rice-wheat rotation agro-ecosystem. Sensitivity was revealed that the simulated N2O emission is most sensitive to the fertilizer application rate and the soil organic matter content, but it is much less sensitive to variations in soil pH and texture, temperature, precipitation and crop residue incorporation rate under local conditions.