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| Spatial-temporal characteristics and trend prediction of carbon emissions from animal husbandry in China |
| Received:June 29, 2022 |
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| KeyWord:carbon emissions from the animal industry|temporal and spatial characteristics|carbon emission peak|dietary pattern|trend prediction |
| Author Name | Affiliation | E-mail | | GU Shenyi | School of Environmental Science and Engineering, Nanjing University of Information Science and Technology/Key Laboratory of High Technology Research on Atmospheric Environment Monitoring and Pollution Control in Jiangsu Province/Jiangsu Atmospheric Environment and Equipment Technology Collaborative Innovation Center, Nanjing 210044, China | | | QIU Zijian | School of Environmental Science and Engineering, Nanjing University of Information Science and Technology/Key Laboratory of High Technology Research on Atmospheric Environment Monitoring and Pollution Control in Jiangsu Province/Jiangsu Atmospheric Environment and Equipment Technology Collaborative Innovation Center, Nanjing 210044, China | | | ZHAN Yongbing | School of Environmental Science and Engineering, Nanjing University of Information Science and Technology/Key Laboratory of High Technology Research on Atmospheric Environment Monitoring and Pollution Control in Jiangsu Province/Jiangsu Atmospheric Environment and Equipment Technology Collaborative Innovation Center, Nanjing 210044, China | | | QIAN Kun | School of Environmental Science and Engineering, Nanjing University of Information Science and Technology/Key Laboratory of High Technology Research on Atmospheric Environment Monitoring and Pollution Control in Jiangsu Province/Jiangsu Atmospheric Environment and Equipment Technology Collaborative Innovation Center, Nanjing 210044, China | | | XIONG Ruonan | School of Environmental Science and Engineering, Nanjing University of Information Science and Technology/Key Laboratory of High Technology Research on Atmospheric Environment Monitoring and Pollution Control in Jiangsu Province/Jiangsu Atmospheric Environment and Equipment Technology Collaborative Innovation Center, Nanjing 210044, China | | | DAI Haiyang | School of Environmental Science and Engineering, Nanjing University of Information Science and Technology/Key Laboratory of High Technology Research on Atmospheric Environment Monitoring and Pollution Control in Jiangsu Province/Jiangsu Atmospheric Environment and Equipment Technology Collaborative Innovation Center, Nanjing 210044, China | | | YIN Jun | School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing 210044, China | | | SHEN Weishou | School of Environmental Science and Engineering, Nanjing University of Information Science and Technology/Key Laboratory of High Technology Research on Atmospheric Environment Monitoring and Pollution Control in Jiangsu Province/Jiangsu Atmospheric Environment and Equipment Technology Collaborative Innovation Center, Nanjing 210044, China | wsshen@nuist.edu.cn |
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| Abstract: |
| The emission factor method was used to estimate and explore the temporal and spatial characteristics of carbon emissions from animal husbandry in China from 2001 to 2017. Based on the amount of meat consumed according to the dietary index of the Chinese Dietetic Association, the carbon emission trend was projected in 2060. The results demonstrated that from 2001 to 2017, CO2e emissions from the animal industry in China fluctuated and reached their peak at approximately 486 million tons in 2005. The proportion of carbon emission from gastrointestinal fermentation was considerably larger than that from livestock manure management. Further, the carbon emission from non-dairy farming was notably higher than that from other livestock and poultry. Additionally, in terms of spatial distribution, carbon emissions in south-central and southwest China were higher than those in other regions. Adjustments to healthy meat consumption standards set by dietary targets might yield a significant positive impact on carbon emission reduction, thereby decreasing carbon emissions from livestock industry by 25%-75% over the next 40 years. Our study showed that the carbon emission peak of the livestock industry in China was achieved in 2005 dring 2001 to 2017. The continuous reduction of carbon emissions from the animal industry in the future through the improvement of dietary structure will enable the realization of national carbon-neutral goals in China. |
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