Trends and Emission Reduction Potential of Agricultural Greenhouse Gas Emissions in Jiangxi Province
The mastering the emission law of agricultural greenhouse gases plays an important role in China's strategic goal of"carbon peaking and carbon neutrality".Based on the agricultural data of Jiangxi Province from 2011～2020,this study elucidated the emission level and spatio-temporal evolution of carbon dioxide equivalent of agricultural greenhouse gases(methane and nitrous oxide)in planting,aquaculture and energy consumption in Jiangxi Province.The emission reduction potential of Jiangxi Province in 2030 and 2060 is simulated and analyzed by STIRPAT model under multiple scenarios.The results showed that the total agricultural greenhouse gas emissions in Jiangxi Province from 2011～2020 were 3686.91～39.6756 million tons,showing a trend of first increasing and then decreasing.Spatially,it showed the distribution charac-teristics of high west and low east,high south and low north.The average annual carbon dioxide emissions equivalent of planting industry,aquaculture industry and energy consumption accounted for about 71.5％,26.9％and 1.6％respec-tively,and the carbon dioxide equivalent of paddy methane and agricultural nitrous oxide in planting industry accounted for 72.77％and 27.23％respectively.The carbon dioxide equivalent emissions of animal intestinal methane,animal feces methane and animal feces nitrous oxide accounted for 31.53％,43.90％and 24.57％,respectively.The forecast results under the baseline development model and the low-carbon development model showed that the reduction of agricultural greenhouse gas emissions in Jiangxi Province in 2030 will meet the national requirements,12.66％and 14.91％respectively.It is hoped that this study could provide ideas,measures and policy suggestions for promoting agricultural emission reduction and carbon sequestration in Jiangxi Province in the future under the background of China's"dual carbon"strategic goal.
Jiangxi Provincegreenhouse gascarbon emissionsemission reduction and carbon sequestrationspace-time evolutionscenario prediction
万方数据
维普
