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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >N_2O Emissions From Two Agroecosystems: High Spatial Variability and Long Pulses Observed Using Static Chambers and the Flux-Gradient Technique
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N_2O Emissions From Two Agroecosystems: High Spatial Variability and Long Pulses Observed Using Static Chambers and the Flux-Gradient Technique

机译:来自两个农业体系的N_2O排放:使用静电腔室和磁通梯度技术观察的高空间变异性和长脉冲

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摘要

With the addition of nitrogen (N), agricultural soils are the main anthropogenic source of N_2O, but high spatial and temporal variabilities make N_2O emissions difficult to characterize at the field scale. This study used flux-gradient measurements to continuously monitor N_2O emissions at two agricultural fields under different management regimes in the inland Pacific Northwest of Washington State, USA. Automated 16-chamber arrays were also deployed at each site; chamber monitoring results aided the interpretation of the flux gradient results. The cumulative emissions over the six-month (1 April-30 September) monitoring period were 2.4 ± 0.7 and 2.1 ± 2 kg N_2O-N/ha at the no-till and conventional till sites, respectively. At both sites, maximum N_2O emissions occurred following the first rainfall event after N fertilization, and both sites had monthlong emission pulses. The no-till site had a larger N_2O emission factor than the Intergovernmental Panel on Climate Change Tier 1 emission factor of 1% of the N input, while the conventional-till site's emission factor was close to 1% of the N input. However, these emission factors are likely conservative. We estimate that the global warming potential of the N_2O emissions at these sites is larger than that of the no-till conversion carbon uptake. We recommend the use of chambers to investigate spatiotemporal controls as a complementary method to micrometeorological monitoring, especially in systems with high variability. Continued monitoring coupled with the use of models is necessary to investigate how changing management and environmental conditions will affect N_2O emissions.
机译:通过添加氮(N)的,农业土壤是N_2O的主要人为来源,但高空间和时间可变性使N_2O排放难以在字段规模来表征。采用磁梯度测量到这项研究的下内陆华盛顿州,美国太平洋西北地区不同管理制度两种不同农业领域连续监测N_2O排放。自动化的16室阵列,还部署在每个站点;腔监测结果辅助磁通梯度结果的解释。在六个月(九月4月1日-30)监测期间的累积排放分别为2.4±0.7和2.1±2公斤N_2O-N /公顷在免耕和常规直到位点,分别。在这两个网站,最大N_2O排放发生以下N肥后的第一次降雨事件,这两个网站有一个月的发射脉冲。免耕网站有比政府间小组的N输入的1%,气候变化的方法1排放因子较大N_2O排放因子,而常规耕作现场的排放因子接近N个输入的1%。然而,这些排放因子有可能保守。我们估计,在这些网站上N_2O排放的全球变暖潜势比免耕转化的碳吸收较大。我们建议使用的室进行调查时空控制作为一种辅助的方法来监测微气象,尤其是在高可变性的系统。继续监测再加上使用的机型是必要探讨如何改变管理和环境条件会影响N_2O排放。

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  • 作者单位

    Laboratory for Atmospheric Research Department of Civil and Environmental Engineering Washington State University Pullman WA USA;

    Laboratory for Atmospheric Research Department of Civil and Environmental Engineering Washington State University Pullman WA USA;

    Department of Crop and Soil Sciences Washington State University Pullman WA USA;

    Laboratory for Atmospheric Research Department of Civil and Environmental Engineering Washington State University Pullman WA USA;

    Laboratory for Atmospheric Research Department of Civil and Environmental Engineering Washington State University Pullman WA USA;

    Northwest Sustainable Agroecosystems Research Unit USDA-ARS Washington State University Pullman WA USA;

    Department of Biological and Agricultural Engineering Washington State University Pullman WA USA;

    Department of Crop and Soil Sciences Washington State University Pullman WA USA;

    Laboratory for Atmospheric Research Department of Civil and Environmental Engineering Washington State University Pullman WA USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物分布与生物地理学;
  • 关键词

    N_2O Emissions; From Two Agroecosystems; High Spatial;

    机译:n_2o排放;从两个农业系统;高空间;

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