Spatiotemporal Patterns and Influencing Factors of Agriculture Methane Emissions in China
文献类型：期刊论文
| 作者 | Wang, Guofeng2; Liu, Pu2; Hu, Jinmiao2; Zhang, Fan1 |
| 刊名 | AGRICULTURE-BASEL
 |
| 出版日期 | 2022-10-01 |
| 卷号 | 12期号:10页码:17 |
| 关键词 | agriculture methane emission spatiotemporal pattern kernel density influencing factors |
| DOI | 10.3390/agriculture12101573 |
| 通讯作者 | Zhang, Fan(zhangf.ccap@igsnrr.ac.cn) |
| 英文摘要 | Explaining the methane emission pattern of Chinese agriculture and the influencing factors of its spatiotemporal differentiation is of great theoretical and practical significance for carbon neutrality. This paper uses the IPCC coefficient method to measure and analyze the spatial and temporal differentiation characteristics of agricultural methane emission, clarify the dynamic evolution trend of the kernel density function, and reveal the key influencing factors of agricultural methane emission with geographical detectors. The results show that China's agricultural methane emissions showed a first increasing and then declining trend. Agricultural methane emissions decreased from 21.4587 million tons to 17.6864 million tons, with an upward trend from 2000 to 2005, a significant decline in 2006, a slow change from 2007 to 2015, and a significant decline from 2015 to 2019. In addition, the emissions pattern of the three major grain functional areas is characteristic; in 2019, agricultural methane emissions from main producing area, main sales area, and balance area were 10.8406 million tons, 1.2471 million tons, and 5.599 million tons, respectively. The main grain producing area is the main area of methane emissions, and the emission pattern will not change in the short term. The variability of grain functional areas is the decisive factor for the difference in agricultural methane emissions. The state of industrial structure is the key influencing factor for adjusting the spatial distribution-the explanatory power of the industrial structure to the main producing areas reached 0.549; the level of agricultural development is the most core influencing factor of the spatial pattern of the main grain sales area-the explanatory power reached 0.292; and the level of industrialization and the industrial structure are the core influencing factors of the spatial pattern of the balance area-the explanatory power reached 0.545 and 0.479, respectively. |
| WOS关键词 | CLIMATE-CHANGE |
| 资助项目 | Science Fund for Creative Research Groups of the National Natural Science Foundation of China[72221002] ; National Natural Science Foundation of China[72003111] |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000872051700001 |
| 出版者 | MDPI |
| 资助机构 | Science Fund for Creative Research Groups of the National Natural Science Foundation of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/186127]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Fan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Shanxi Univ Finance & Econ, Fac Int Trade, Taiyuan 030006, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Guofeng,Liu, Pu,Hu, Jinmiao,et al. Spatiotemporal Patterns and Influencing Factors of Agriculture Methane Emissions in China[J]. AGRICULTURE-BASEL,2022,12(10):17. |
| APA | Wang, Guofeng,Liu, Pu,Hu, Jinmiao,&Zhang, Fan.(2022).Spatiotemporal Patterns and Influencing Factors of Agriculture Methane Emissions in China.AGRICULTURE-BASEL,12(10),17. |
| MLA | Wang, Guofeng,et al."Spatiotemporal Patterns and Influencing Factors of Agriculture Methane Emissions in China".AGRICULTURE-BASEL 12.10(2022):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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