Spatiotemporal characteristics of agricultural carbon emissions in counties of Hefei City
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1.College of Forestry and Landscape Architecture,Anhui Agricultural University, Hefei 230036,China;2.Innovation Institute for Low Carbon Urban and Rural Planning and Design, Anhui Agricultural University, Hefei 230036, China

Clc Number:

S181

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    Abstract:

    It is of great significance to study the spatiotemporal characteristics of agricultural carbon emissions and its strategies for realizing the target of carbon peak and carbon neutrality in China. Hefei City was used to study the spatiotemporal characteristics and regulation strategies of agricultural carbon emissions at the level of county. The greenhouse gases generated during the production process of planting and animal husbandry were used as the main carbon source to construct a measurement index system for carbon emissions from four levels including the utilization of agricultural energy, the input of agricultural material, the planting of rice, and the farming of livestock and poultry. A calculation model of agricultural carbon emission was constructed based on the IPCC inventory method. The agricultural carbon emission and carbon emission intensity of Hefei City at the level of county from 2003 to 2022 were calculated. The spatiotemporal characteristics of carbon emission were analyzed with standard deviation ellipse and center of gravity transfer model, ArcGIS visualization method. The results show that the total agricultural carbon emissions of counties in Hefei are 1 213 380-1 410 320 tons in terms of total agricultural carbon emissions and intensity, and the overall trend is “first slowly rising to the peak, and then gradually decreasing”. Agricultural carbon emission intensity is 0.482-2.358 tons/ten thousand yuan, and the overall downward trend is obvious; From 2003 to 2005, the agricultural carbon emissions of counties in Hefei were mostly concentrated in Lujiang County and Feidong County, with a slight difference between the north and the south. From 2006 to 2022, the spatial pattern of “high in the north and low in the south” increased. The spatial distribution characteristics of carbon emission intensity changed greatly, showing the spatial pattern of “north high and south low”,“north low and south high” and “northeast high and northwest low” in three time periods from 2003 to 2007, 2008 to 2017 and 2018 to 2022 respectively. From the agricultural carbon emission center of gravity, the agricultural carbon emission center of Hefei is northeast as a whole.From 2003 to 2022, the total migration was about 17.75 km. It will provide some references for calculating agricultural carbon emissions and the formulating policies of reducing agricultural carbon emissions in China.

    Fig.1 Total carbon emissions of agriculture in Hefei City from 2003 to 2022
    Fig.2 Carbon emissions intensity of agriculture in Hefei City from 2003 to 2022
    Fig.3 Sources of carbon emissions of agriculture in Hefei City from 2003 to 2022
    Fig.4 Total carbon emissions of planting industry and livestock in Hefei City from 2003 to 2022
    Fig.5 Carbon intensity of farming in Hefei City from 2003 to 2022
    Fig.6 Carbon intensity of livestock in Hefei City from 2003 to 2022
    Fig.7 Spatial evolution of agricultural carbon emissions at Hefei City from 2003 to 2022
    Fig.8 Spatial evolution of agricultural carbon emissions intensity at Hefei City from 2003 to 2022
    Fig.9 Ellipse distribution of standard deviation of agricultural carbon emissions and moving track of center of gravity in Hefei city from 2003 to 2022
    Table 1 Carbon emission sources and their coefficients from crop cultivation
    Table 2 Carbon emission sources and their coefficients from livestock breeding
    Table 3 Ellipse parameters of carbon emissions standard deviation
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李丹,唐文群,陈静媛,王诚,甘志强,张云彬. Spatiotemporal characteristics of agricultural carbon emissions in counties of Hefei City[J]. Jorunal of Huazhong Agricultural University,2024,43(6):87-99.

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History
  • Received:September 21,2024
  • Online: January 07,2025
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