Long-Term Annual Changes in Agricultural Carbon Footprints and Associated Driving Factors in China from 2000 to 2020

被引:1
作者
Xiao, Xingyuan [1 ]
Hu, Xuanming [1 ]
Liu, Yaqun [1 ,2 ]
Lu, Changhe [2 ,3 ]
机构
[1] Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[3] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
来源
AGRONOMY-BASEL | 2025年 / 15卷 / 02期
基金
中国国家自然科学基金;
关键词
agricultural carbon footprint; life cycle assessment; annual temporal trend; spatial autocorrelation; driving factors; crop production; climate change; sustainable agriculture development; SPATIOTEMPORAL DISTRIBUTION; GHG EMISSIONS; CONVERSION; PROVINCE; REGIONS; GRAIN;
D O I
10.3390/agronomy15020453
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
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.
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页数:20
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