Plot scale modeling and upscaling of greenhouse gas emissions and nitrate leaching

温室气体排放和硝酸盐浸出的地块尺度建模和升级

• 批准号: 194676385
• 负责人: Professor Dr. Klaus Butterbach-Bahl
• 金额: --
• 依托单位: Department Atmosphärische Umweltforschung (IMK-IFU)
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2011
• 资助国家: 德国
• 起止时间: 2010-12-31 至 2017-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/194676385?language=en
• 关键词: Plot; scale; modeling; upscaling; greenhouse

This project aims at the improvement and testing of a modeling tool which will allow the simulation of impacts of on-going and projected changes in land use/ management on the dynamic exchange of C and N components between diversifying rice cropping systems and the atmosphere and hydrosphere. Model development is based on the modeling framework MOBILE-DNDC. Improvements of the soil biogeochemical submodule will be based on ICON data as well as on results from published studies. To improve simulation of rice growth the model ORYZA will be integrated and tested with own measurements of crop biomass development and transpiration. Model development will be continuously accompanied by uncertainty assessment of parameters. Due to the importance of soil hydrology and lateral transport of water and nutrients for exchange processes we will couple MOBILE-DNDC with the regional hydrological model CMF (SP7). The new framework will be used at field scale to demonstrate proof of concept and to study the importance of lateral transport for expectable small-scale spatial variability of crop production, soil C/N stocks and GHG fluxes. Further application of the coupled model, including scenarios of land use/ land management and climate at a wider regional scale, are scheduled for Phase II of ICON.

该项目旨在改进和测试一种建模工具，以便模拟土地利用/管理方面正在发生和预计发生的变化对多样化水稻种植系统与大气和水圈之间C和N成分动态交换的影响。模型开发基于建模框架MOBILE-DNDC。土壤生物地球化学子模块的改进将基于ICON数据以及已发表研究的结果。为了改善水稻生长的模拟，ORYZA模型将与自己的作物生物量发展和蒸腾测量进行整合和测试。模型开发将不断伴随着参数的不确定性评估。由于土壤水文学和水和养分的横向传输交换过程的重要性，我们将耦合MOBILE-DNDC与区域水文模型CMF（SP 7）。新的框架将在田间尺度上使用，以证明概念，并研究横向迁移对作物生产、土壤C/N储量和温室气体通量的预期小规模空间变异的重要性。计划在ICON第二阶段进一步应用耦合模型，包括更广泛区域范围的土地使用/土地管理和气候情景。