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首页> 外文期刊>Nutrient Cycling in Agroecosystems >N_2O and NO emission from agricultural fields and soils under natural vegetation:summarizing available measurement data and modeling of global annual emissions
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N_2O and NO emission from agricultural fields and soils under natural vegetation:summarizing available measurement data and modeling of global annual emissions

机译:自然植被下农田和土壤的N_2O和NO排放:总结可用的测量数据并建立全球年排放模型

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The number of published N_2O and NO emissions measurements is increasing steadily,providing additional information about driving factors of these emissions and allowing an improvement of statistical N-emission models.We summarized information from 1008 N_2O and 189 NO emission measurements for agricultural fields,and 207 N_2O and 210 NO measurements for soils under natural vegetation.The factors that significantly influence agricultural N_2O emissions were N application rate,crop type,fertilizer type,soil organic C content,soil pH and texture,and those for NO emissions include N application rate,soil N content and climate.Compared to an earlier analysis the 20% increase in the number of N_2O measurements for agriculture did not yield more insight or reduced uncertainty,because the representation of environmental and management conditions in agro-ecosystems did not improve,while for NO emissions the additional measurements in agricultural systems did yield a considerable improvement.N_2O emissions from soils under natural vegetation are significantly influenced by vegetation type,soil organic C content,soil pH,bulk density and drainage,while vegetation type and soil C content are major factors for NO emissions.Statistical models of these factors were used to calculate global annual emissions from fertilized cropland (3.3 Tg N_2O-N and 1.4 Tg NO-N)and grassland (0.8 Tg N_20-N and 0.4 Tg NO-N).Global emissions were not calculated for soils under natural vegetation due to lack of data for many vegetation types.
机译:已发布的N_2O和NO排放量测量值在稳步增长,提供了有关这些排放量驱动因素的更多信息,并允许改进统计的N排放量模型。我们总结了1008种N_2O和189种农业NO排放量测量值中的信息,以及207种自然植被下土壤的N_2O和210 NO含量。影响农业N_2O排放的因素主要是氮肥施用量,农作物类型,肥料类型,土壤有机碳含量,土壤pH和质地,而氮肥排放量包括氮肥施用量,与较早的分析相比,农业使用的N_2O测量数量增加了20%,因此无法获得更多的见识或减少了不确定性,因为农业生态系统中环境和管理条件的表示没有改善,而NO排放在农业系统中进行的其他测量确实带来了很大的改善。N_2自然植被下土壤的O排放量受植被类型,土壤有机碳含量,土壤pH值,土壤密度和排水量的显着影响,而植被类型和土壤C含量是NO排放的主要因素。使用这些因素的统计模型来计算受精耕地(3.3 Tg N_2O-N和1.4 Tg NO-N)和草地(0.8 Tg N_20-N和0.4 Tg NO-N)的全球年排放量。由于缺乏数据,未对自然植被下的土壤计算全球排放量适用于许多植被类型。

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