Potential reduction of greenhouse gas emissions from pig production in China on the basis of households' pork consumption
文献类型:期刊论文
作者 | Yan, Bojie1; Li, Yaxing2; Yan, Jingjie3; Shi, Wenjiao4,5 |
刊名 | ENVIRONMENT INTERNATIONAL
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出版日期 | 2023-07-01 |
卷号 | 177页码:13 |
关键词 | Greenhouse gas emission Pig production Optimization Reduction Spatial analysis |
ISSN号 | 0160-4120 |
DOI | 10.1016/j.envint.2023.108008 |
通讯作者 | Yan, Jingjie(yanjjzj2018@163.com) |
英文摘要 | In the past decades, the greenhouse gas (GHG) emissions from pig production in China have been increasing rapidly, which has become a huge challenge in fulfilling China's "carbon neutral" commitment. However, few studies have focused on reducing the GHG emissions from pig production in view of households' pork consumption. This study analyzed the temporal and spatial pattern of the GHG emissions from pig production in China in 2001-2020 through geographical information system, optimized the pig production in China, and estimated the potential GHG emissions reduction from pig production in China in 2020 through spatial analysis based on pork surplus or deficit. Results show that the temporal and spatial pattern of the GHG emissions from pig production and its proportion in the total GHG emissions from livestock production in China in 2001-2020 varied differently at the province level and conformed to the "Hu Huanyong Line" mode. The largest and smallest GHG emissions from pig production were 108.93 million tons (MT) in 2014 and 78.10 MT in 2020, respectively. The largest and smallest proportions of GHG emissions from pig production in the total GHG emissions from livestock production were 77.52% in Zhejiang in 2013 and 0.13% in Tibet in 2009, respectively. Moreover, a potential optimization scheme of pig production in China in 2020 was provided and a method of GHG emissions reduction from pig production is proposed. The results indicate that the total potential GHG emissions reduction from pig production on the basis of households' pork consumption could reach 35.21 MT, accounting for 45.09% of the total GHG emissions from pig production and 10.27% of the total GHG emissions from livestock production in China in 2020. These findings are useful in the spatial layout planning of pig production, agricultural GHG reduction, and global warming mitigation. |
WOS关键词 | LIVESTOCK ; MITIGATION ; BENEFITS |
资助项目 | National Natural Science Foundation of China[41601601] ; National Natural Science Foundation of China[61971236] ; Natural Science Foundation of Fujian Province, China[2020J01830] ; Postdoctoral Science Foundation of China[2018 M632348] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:001016070900001 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Fujian Province, China ; Postdoctoral Science Foundation of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/195150] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Yan, Jingjie |
作者单位 | 1.Minjiang Univ, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China 2.Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China 3.Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing 210003, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Yan, Bojie,Li, Yaxing,Yan, Jingjie,et al. Potential reduction of greenhouse gas emissions from pig production in China on the basis of households' pork consumption[J]. ENVIRONMENT INTERNATIONAL,2023,177:13. |
APA | Yan, Bojie,Li, Yaxing,Yan, Jingjie,&Shi, Wenjiao.(2023).Potential reduction of greenhouse gas emissions from pig production in China on the basis of households' pork consumption.ENVIRONMENT INTERNATIONAL,177,13. |
MLA | Yan, Bojie,et al."Potential reduction of greenhouse gas emissions from pig production in China on the basis of households' pork consumption".ENVIRONMENT INTERNATIONAL 177(2023):13. |
入库方式: OAI收割
来源:地理科学与资源研究所
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