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Characterization of agricultural carbon emissions and assessment of land-carrying capacity of livestock and poultry in Binzhou City
Received:February 27, 2024  
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KeyWord:agricultural carbon emission;carbon emission intensity;land-carrying capacity;fertilizer replacing potential;Binzhou City
Author NameAffiliationE-mail
XIAO Jianyong Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
School of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101314, China 
 
LIU Yuexian Binzhou Institute of Technology, Binzhou 256606, China
School of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101314, China 
liuyuexian@ucas.ac.cn 
DAI Yanan Binzhou Institute of Technology, Binzhou 256606, China  
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Abstract:
      We used the emission factor method to analyze the characteristics of agricultural carbon emissions in agricultural regions from a county perspective, in Binzhou City, Shandong Province, whose main sources of carbon emissions are agriculture and animal husbandry. Herein, the changes in agricultural carbon emissions in Binzhou City and the structure of agricultural carbon emissions during 2010—2021 were analyzed. The results demonstrated that the total agricultural carbon emissions fluctuated and declined, reaching their lowest level in 2020(2 119 600 t of CO2 equivalent), with an average annual decline of 1.64%. The counties of Yangxin, Huimin, and Wudi, which have higher rates of carbon emissions from agricultural activities, higher average annual agricultural carbon emissions and carbon intensity, and a high proportion of carbon emissions due to farming, closely related to the local agricultural structure. Additionally, the potential of livestock and poultry raising in Binzhou City from the perspective of land-carrying capacity was also evaluated. The results showed that Huimin County had the highest potential for animal husbandry carrying(4 690 600 pig equivalents, phosphorus-based index). Yangxin County was found to be in an overloaded state, with an index of 1.53, indicative of serious environmental impacts.