Long-Term Annual Changes in Agricultural Carbon Footprints and Associated Driving Factors in China from 2000 to 2020
文献类型:期刊论文
作者 | Xiao, Xingyuan3; Hu, Xuanming3; Liu, Yaqun2,3; Lu, Changhe1,2 |
刊名 | AGRONOMY-BASEL
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出版日期 | 2025-02-01 |
卷号 | 15期号:2页码:453 |
关键词 | agricultural carbon footprint life cycle assessment annual temporal trend spatial autocorrelation driving factors crop production climate change sustainable agriculture development |
DOI | 10.3390/agronomy15020453 |
产权排序 | 2 |
文献子类 | Article |
英文摘要 | China is one of the world's largest agricultural producers, and its agricultural carbon footprint (CF) is a major contributor to global warming. However, the long-term annual changes in its agricultural CF and the underlying driving factors remain largely unknown, compromising the scientific basis for effective carbon reduction and sustainable agriculture management. To this end, we used the life cycle assessment (LCA) method and statistical data to calculate long-term annual agricultural CFs in China. We then adopted the linear regression slope and the Moran's I method to analyze the temporal trends and spatial clustering characteristics and revealed the correlations between the main drivers and agricultural CFs. The results showed that the total (TCF) and farmland-averaged carbon footprint (FCF) of crop production both increased first and then decreased in China from 2000 to 2020, with a turning point in 2015. Overall, the TCF increased by 6.82% (3022.16 x 104 t CO2 eq), while the FCF slightly decreased by 0.004% (0.01 t CO2 eq/ha). Both the TCF and the FCF showed spatial heterogeneity, with high values in the east and low values in the west, and the spatial clustering of the TCF and its components has weakened over time. Fertilizer (39.26%) and paddy (27.38%) were the main contributors to TCF. Driver analysis found that grain yield was positively correlated with TCF in most provinces, indicating that the continuous yield increase has brought greater pressure on agricultural carbon emission reduction in China. Agricultural stakeholders should optimize crop planting structures and patterns and improve resource-use efficiencies through technological and management innovation to adapt to these threats and achieve low-carbon agriculture. The findings of our research can aid the scientific research on spatiotemporal estimation and driver analysis of agricultural CFs and provide decision-making support for sustainable agricultural practices. |
URL标识 | 查看原文 |
WOS关键词 | SPATIOTEMPORAL DISTRIBUTION ; GHG EMISSIONS ; CONVERSION ; PROVINCE ; REGIONS ; GRAIN |
WOS研究方向 | Agriculture ; Plant Sciences |
语种 | 英语 |
WOS记录号 | WOS:001429943200001 |
出版者 | MDPI |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/213328] ![]() |
专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
通讯作者 | Liu, Yaqun |
作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 3.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China; |
推荐引用方式 GB/T 7714 | Xiao, Xingyuan,Hu, Xuanming,Liu, Yaqun,et al. Long-Term Annual Changes in Agricultural Carbon Footprints and Associated Driving Factors in China from 2000 to 2020[J]. AGRONOMY-BASEL,2025,15(2):453. |
APA | Xiao, Xingyuan,Hu, Xuanming,Liu, Yaqun,&Lu, Changhe.(2025).Long-Term Annual Changes in Agricultural Carbon Footprints and Associated Driving Factors in China from 2000 to 2020.AGRONOMY-BASEL,15(2),453. |
MLA | Xiao, Xingyuan,et al."Long-Term Annual Changes in Agricultural Carbon Footprints and Associated Driving Factors in China from 2000 to 2020".AGRONOMY-BASEL 15.2(2025):453. |
入库方式: OAI收割
来源:地理科学与资源研究所
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