| 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. |
| 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 |
| Analysis of spatial differences and temporal trends of agricultural N2O emissions based on ESDA-R/S |
| 投稿时间：2018-04-02 |
| DOI：10.11654/jaes.2018-0423 |
| 中文关键词: 农业N2O排放 ESDA Hurst指数 时空特征 县域 |
| 英文关键词: agricultural N2O emissions ESDA Hurst index spatial and temporal characteristics county-level |
| 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） |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
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