中国生态农业学报（中英文）2024，Vol.32Issue(1)：30-40,11.DOI:10.12357/cjea.20230225
东北三省农业碳排放时空分异特征及其关键驱动因素
Spatial-temporal differentiation characteristics and key driving factors of agricultural carbon emissions in the three northeastern provinces of China
摘要
Abstract
Climate change caused by increasing carbon dioxide emissions is one of the major challenges today.Promoting the devel-opment of low-carbon agriculture is an effective way to deal with climate threats and agricultural nonpoint source pollution.Accur-ately measuring the effect of agricultural carbon emissions and its spatial and temporal evolution characteristics is the basis for pro-moting the development of low-carbon of agriculture,and studying the key driving factors of agricultural carbon emissions and the trade-off and coordination relationship between driving factors is of great significance for formulating regional carbon emission re-duction policies in Northeast China.Based on the input data of agricultural materials and the IPCC method,this study calculated the agricultural carbon emissions of three provinces in Northeast China from 2000 to 2019,used the spatial autocorrelation analysis meth-od to clarify the spatial and temporal differentiation characteristics of agricultural carbon emissions,and explored the driving factors of agricultural carbon emissions and their interactions through the LMDI decomposition model and geographic detector.The results showed the following:1)The total carbon emissions of the three provinces in Northeast China showed a trend of increasing and then decreasing.The incremental changes in carbon emissions can be divided into three stages:the fluctuating rising period(2000-2009),transitional period(2010-2015),and steady decline period(2016-2019).In 2015,the total amount of agricultural carbon emissions reached a peak of 17.5966 million t,an increase of 67.88％compared to that in 2000,with an average annual increase of 4.53％.Dur-ing the study period,all carbon sources showed different degrees of growth,and chemical fertilizer application was the main carbon source,accounting for 75.12％.2)The spatial distribution of the total carbon emissions in the three northeastern provinces had a signi-ficant spatial autocorrelation.The hotspots of carbon emissions were mainly distributed in the northeastern plain area,and it showed agglomeration trend and scope were expanding.The cold spots of carbon emissions were mainly distributed in the Changbai and Dax-ing'an Mountains and did not change significantly over time.3)Total agricultural carbon emissions in the three northeastern provinces were affected by several factors.The improvement of agricultural production efficiency,the optimization of agricultural in-dustrial structure,and the reduction of agricultural labor force had an inhibitory effect on carbon emissions,and the proportions of carbon emissions reduction were 207.31％,21.56％,and 20.72％,while the level of agricultural economic development had a strong driving effect on carbon emissions,achieving a 349.59％carbon increment.The interaction between the levels of agricultural eco-nomic development,agricultural production efficiency,and agricultural structure is more nonlinear than the influence of a single factor on carbon emissions.The superposition of the labor force scale and other factors shows the effect of two-factor enhancement.The research results revealed that the carbon emission effect of the three northeastern provinces was easily affected by the surround-ing areas,and the degree of influence increased.Simultaneously,there was a strong synergy between the driving factors of carbon emissions.关键词
农业碳排放/时空特征/驱动因素/LMDI模型/地理探测器/东北三省Key words
Agricultural carbon emissions/Spatial-temporal characteristics/Driving factors/LMDI model/Geographical detector/Three northeastern provinces of China分类
管理科学引用本文复制引用
钱凤魁,王祥国,顾汉龙,王大鹏,李鹏飞..东北三省农业碳排放时空分异特征及其关键驱动因素[J].中国生态农业学报（中英文）,2024,32(1):30-40,11.基金项目
国家自然科学基金项目(42077149,41671329)资助 This study was supported by the National Natural Science Foundation of China(42077149,41671329). （42077149,41671329）
