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基于ESDA-R/S的县域农业N2O排放的空间差异及演化趋势分析
引用本文:黄昭昶,陈思明,毛艳玲,宋星星,吴群. 基于ESDA-R/S的县域农业N2O排放的空间差异及演化趋势分析[J]. 农业环境科学学报, 2018, 37(12): 2864-2871
作者姓名:黄昭昶  陈思明  毛艳玲  宋星星  吴群
作者单位:福建农林大学资源与环境学院, 福州 350002;福建农林大学自然生物资源保育利用福建高校工程研究中心, 福州 350002,闽江学院海洋学院, 福州 350108;福建农林大学林学院, 福州 350002;福建农林大学自然生物资源保育利用福建高校工程研究中心, 福州 350002,福建农林大学资源与环境学院, 福州 350002;福建农林大学自然生物资源保育利用福建高校工程研究中心, 福州 350002,福建农林大学资源与环境学院, 福州 350002,福建农林大学动物科学学院, 福州 350002
基金项目:福建省科技厅高校产学合作项目(KJb16003A);国家科技支撑计划项目(2014BAD15B01);国家自然科学基金项目(30972346)
摘    要:了解农业N2O排放的时空特征,对于制定农业N2O减排措施,缓解全球温室效应具有重要意义。采用探索性空间分析(ESDA)和分形方法(R/S),对1983-2014年福建省52个县的农业N2O排放的空间差异与演化趋势进行分析。结果表明:1983-2014年福建省农业N2O排放呈现出显著的空间差异性。农业N2O高排放区主要集聚在南部县域,其增长趋势呈现出较强的持续性,所占比例为40.38%,而农业N2O低排放区主要分布在西部和东部县域,其增长趋势呈现出较低的持续性或反持续性,比例为25%,未来一段时间内,福建省农业N2O排放仍处于较强的持续性。该研究结果可较为全面地反映出福建省县域农业N2O排放的时空特征,为福建省县域农业N2O的减排工作提供数据支撑。

关 键 词:农业N2O排放  ESDA  Hurst指数  时空特征  县域
收稿时间:2018-04-02

Analysis of spatial differences and temporal trends of agricultural N2O emissions based on ESDA-R/S
HUANG Zhao-chang,CHEN Si-ming,MAO Yan-ling,SONG Xing-xing and WU Qun. Analysis of spatial differences and temporal trends of agricultural N2O emissions based on ESDA-R/S[J]. Journal of Agro-Environment Science( J. Agro-Environ. Sci.), 2018, 37(12): 2864-2871
Authors:HUANG Zhao-chang  CHEN Si-ming  MAO Yan-ling  SONG Xing-xing  WU Qun
Affiliation:College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China;Fujian Provincial Ornamental Germplasm Resources Innovation & Engineering Application Research Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China,Ocean College, Minjiang University, Fuzhou 350108, China;College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China;Fujian Provincial Ornamental Germplasm Resources Innovation & Engineering Application Research Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China,College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China;Fujian Provincial Ornamental Germplasm Resources Innovation & Engineering Application Research Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China,College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China and College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Abstract:Investigating the spatial and temporal patterns of agricultural N2O emissions in Fujian Province is necessary to formulate effective emission reduction measures and help mitigate the global greenhouse effect. Using agricultural data of Fujian Province from 1983 to 2014, Exploratory Spatial Data Analysis and R/S method were employed to analyze the spatial differences and temporal trends of agricultural N2O emissions in 52 counties across Fujian. The results revealed that there were significant spatial differences in agricultural N2O emissions among Fujian''s counties from 1983 to 2014. Over 40% of counties with high agricultural N2O emissions were concentrated in the south of the province and continued to exhibited a persistent growth rate, while 25% of counties with low agricultural N2O emissions were concentrated in the central and northern regions and exhibited a slowing or declining growth rate. In the future, growth trends indicated that there would be an overall increase in agricultural N2O emissions in Fujian; controlling emissions in the southern region was key to slowing or reversing this trend. Our results provide a more complete picture of the spatial differences and temporal trends of agricultural N2O emissions at the county level, and provide crucial data support for the establishment of emission reduction measures in Fujian Province.
Keywords:agricultural N2O emissions  ESDA  Hurst index  spatial and temporal characteristics  county-level
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