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Maintaining rice production while mitigating methane and nitrous oxide emissions from paddy fields in China: Evaluating tradeoffs by using coupled agricultural systems models

机译:维持水稻生产,同时从我国稻田缓解甲烷和氧化亚氮排放:使用耦合农业系统模型评估权衡

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China is the largest rice producing and consuming country in the world, accounting for more than 25% of global production and consumption. Rice cultivation is also one of the main sources of anthropogenic methane (CH4) and nitrous oxide (N2O) emissions. The challenge of maintaining food security while reducing greenhouse gas emissions is an important tradeoff issue for both scientists and policy makers. A systematical evaluation of tradeoffs requires attention across spatial scales and over time in order to characterize the complex interactions across agricultural systems components. We couple three well-known models that capture different key agricultural processes in order to improve the tradeoff analysis. These models are the DNDC biogeochemical model of soil denitrification-decomposition processes, the DSSAT crop growth and development model for decision support and agro-technology analysis, and the regional AEZ crop productivity assessment tool based on agro-ecological analysis. The calibration of eco-physiological parameters and model evaluation used the phenology and management records of 1981-2010 at nine agro-meteorological stations spanning the major rice producing regions of China. The eco-physiological parameters were calibrated with the GLUE optimization algorithms of DSSAT and then converted to the counterparts in DNDC. The upscaling of DNDC was carried out within each cropping zone as classified by AEZ. The emissions of CH4 and N2O associated with rice production under different management scenarios were simulated with the DNDC at each site and also each 10 x 10 km grid-cell across each cropping zone. Our results indicate that it is feasible to maintain rice yields while reducing CH4 and N2O emissions through careful management changes. Our simulations indicated that a reduction of fertilizer applications by 5-35% and the introduction of midseason drainage across the nine study sites resulted in reduced CH4 emission by 17-40% and N2O emission by 12-60%, without negative consequences on rice yield.
机译:中国是世界上最大的大米生产和消费国家,占全球生产和消费的25%以上。水稻栽培也是人为甲烷(CH 4)和氧化亚氮(N2O)排放的主要来源之一。在减少温室气体排放的同时保持粮食安全的挑战是科学家和政策制定者的重要权衡问题。对权衡的系统评估需要在空间尺度和随时间跨空间尺度注意,以表征农业系统组件的复杂互动。我们耦合了三种着名的模型,以捕获不同的主要农业过程,以改善权衡分析。这些模型是土壤脱氮 - 分解过程的DNDC生物地球化学模型,DSSAT作物生长和决策支持和农业技术分析的发展模型,以及基于农业生态分析的AEZ作物生产力评估工具。生态生态参数及模型评价校准了1981 - 2010年九九农产品站跨越中国九大农业气象站的候选记录。用DSSAT的胶水优化算法校准生态生理参数,然后转换为DNDC的对应物。 DNDC的升高在由AEZ分类的每个种植区内进行。在每个站点的DNDC模拟不同管理场景下的CH4和N2O与水稻生产相关的排放,并在每个裁剪区域上每一个10 x 10km网格单元进行模拟。我们的结果表明,通过仔细的管理变化,在减少CH4和N2O排放的同时保持水稻产量是可行的。我们的模拟表明,减少了5-35%的肥料应用,并引入了九个研究遗址的中期引流导致CH4排放减少17-40%,N2O发射12-60%,没有对水稻产量的负面影响。

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