Emissions of nitrous oxide (N2O) from soil surfaces and their historical changes in East Asia: a model-based assessment
Emissions of nitrous oxide (N2O) from soil surfaces and their historical changes in East Asia: a model-based assessment
复制标题
DOI：
10.1186/s40645-018-0215-4
复制
发表时间：
2018-09-19
影响因子：
3.9
通讯作者：
Inatomi, Motoko
中科院分区：
文献类型：
--
作者：
Ito, Akihiko;Nishina, Kazuya;Inatomi, Motoko
这项研究评估了一氧化二氮（N2 O）从东亚土壤向大气排放的历史变化，一氧化二氮是一种强效温室气体和平流层臭氧消耗物质。基于过程的陆地生态系统模型（VISIT）被用来模拟1901年至2016年的氮循环和相关的N2 O排放作为气候，土地利用，大气沉积和农业投入的函数。2000年代的平均区域N2 O排放率估计为2.03 Tg N2 O年（-1）（1.29 Tg N年（-1），约三分之一来自自然生态系统，三分之二来自农田），是1901年的三倍多。敏感性分析表明，N2 O排放量的增加主要归因于化肥和粪肥等农业投入的增加。模拟的N2 O排放表现出明显的季节循环和年际变化，主要是在响应气象条件和氮输入。模拟的N2 O排放的空间格局揭示了中国，韩国和日本的农业地区的热点。平均N2 O排放系数（每单位氮输入的排放量）估计为1.38%，与以前的估计值相当。这些地球化学模拟结果将有助于确定缓解全球变暖和管理该地区农业实践的方法。
This study assessed historical changes in emissions of nitrous oxide (N2O), a potent greenhouse gas and stratospheric ozone-depleting substance, from the soils of East Asia to the atmosphere. A process-based terrestrial ecosystem model (VISIT) was used to simulate the nitrogen cycle and associated N2O emissions as a function of climate, land use, atmospheric deposition, and agricultural inputs from 1901 to 2016. The mean regional N2O emission rate in the 2000s was estimated to be 2.03 Tg N2O year(-1) (1.29 Tg N year(-1) approximately one-third from natural ecosystems and two-thirds from croplands), more than triple the rate in 1901. A sensitivity analysis suggested that the increase of N2O emissions was primarily attributable to the increase of agricultural inputs from fertilizer and manure. The simulated N2O emissions showed a clear seasonal cycle and interannual variability, primarily in response to meteorological conditions and nitrogen inputs. The spatial pattern of the simulated N2O emissions revealed hot spots in agricultural areas of China, South Korea, and Japan. The average N2O emission factor (emission per unit nitrogen input) was estimated to be 1.38%, a value comparable to previous estimates. These biogeochemical modeling results will facilitate identifying ways to mitigate global warming and manage agricultural practices in this region.