Liu Kemeng, Wang Pengsu, Zhang Bo, Yan Kejia, Shao Ling
School of Economics and Management, China University of Geosciences, Beijing, 100083, People's Republic of China.
China Academy of Urban Planning and Design, Beijing, 100044, People's Republic of China.
Sci Rep. 2024 Dec 28;14(1):30973. doi: 10.1038/s41598-024-82050-1.
Since agriculture is a major source of greenhouse gas emissions, accurately calculating these emissions is essential for simultaneously addressing climate change and food security challenges. This paper explores the critical role of trade in transferring agricultural greenhouse gas (AGHG) emissions throughout global agricultural supply chains. We develop a detailed AGHG emission inventory with comprehensive coverage across a wide range of countries and emission sources at first. Utilizing this inventory, the multi-regional input-output analysis is integrated with the complex network analysis to specifically reveal the characteristics of global AGHG flow networks. Finally, scenario analyses reflecting current trends and policy changes in global agriculture are conducted to investigate the emission reduction potential of different networks. The results show that the community division and characteristics of different AGHG networks vary, with more communities in the rice-CH and livestock-CH, NO networks, and fewer in the cropland-NO network. Production-side technology improvements (reducing direct carbon emission intensities) and consumption-side livestock products substitution can contribute to the reduction of global AGHG emissions. At the same time, these impacts may propagate to other countries through AGHG networks. In contrast, localization substitution has minimal impact on AGHG emissions and may even result in slight negative effects. It is suggested that enhancing cooperation between countries from a network perspective, such as strengthening the transfer of advanced production technologies within communities, could help reconceptualize global agricultural decarbonization.
由于农业是温室气体排放的主要来源,准确计算这些排放对于同时应对气候变化和粮食安全挑战至关重要。本文探讨了贸易在全球农业供应链中转移农业温室气体(AGHG)排放方面的关键作用。我们首先编制了一份详细的AGHG排放清单,全面涵盖了广泛的国家和排放源。利用这份清单,将多区域投入产出分析与复杂网络分析相结合,以具体揭示全球AGHG流动网络的特征。最后,进行了反映全球农业当前趋势和政策变化的情景分析,以研究不同网络的减排潜力。结果表明,不同AGHG网络的群落划分和特征各不相同,水稻-CH和畜牧-CH、NO网络中的群落较多,而农田-NO网络中的群落较少。生产端技术改进(降低直接碳排放强度)和消费端畜产品替代有助于减少全球AGHG排放。同时,这些影响可能通过AGHG网络传播到其他国家。相比之下,本地化替代对AGHG排放的影响最小,甚至可能产生轻微的负面影响。建议从网络角度加强国家间的合作,例如加强群落内部先进生产技术的转移,这有助于重新构想全球农业脱碳。