Li Yuan-Yuan, Wei Wei, Zhou Jun-Ju, Hao Rui-Jun, Chen Di-Bo
School of Geography and Environmental Sciences, Northwest Normal University, Lanzhou 730070, China.
Huan Jing Ke Xue. 2023 Mar 8;44(3):1267-1276. doi: 10.13227/j.hjkx.202204009.
Carbon emissions from land use changes have become one of the main sources of regional carbon emissions. In order to explore its changes, based on the MCD12Q-LUCC data of MODIS from 2001 to 2019 using the carbon emission coefficient method, clustering, and outlier analysis method, the spatial characteristics of land use carbon emissions in various provinces in China in the past 19 years were discussed from the perspectives of carbon emission economy contributive coefficient, carbon ecological support coefficient, and their coupling and coordination relationship. The results showed that:① from 2000 to 2019, the national land use carbon emissions increased significantly; however, after 2011, the growth rate of carbon emissions became flat, whereas the growth of carbon sinks was relatively slow, and the gap between the two was still large. ② Clustering and outlier analysis showed that during the study period, the high-value agglomeration centers of land use carbon emissions in various provinces and cities across the country shifted from Guangdong, Jiangsu, and other provinces to Hebei, Shanxi, Inner Mongolia, and other provinces, and the agglomeration status became increasingly obvious. ③ The economy contributive coefficient of carbon emissions in all provinces and cities across the country had the spatial characteristics of being high in the south and low in the north, and the ecological support coefficient gradually developed from high in the west to low in the east, followed by that in the north, and the coupling coordination between the two showed a downward trend. ④ Based on the economy contributive of carbon emissions and carbon ecological support, this study divided the provinces into four categories:low-carbon maintenance area, economic development area, carbon sink development area, and comprehensive optimization area. We also put forward our own development suggestions, striving to achieve carbon neutrality and low-carbon sustainable development.
土地利用变化产生的碳排放已成为区域碳排放的主要来源之一。为探究其变化情况,基于2001—2019年MODIS的MCD12Q-LUCC数据,采用碳排放系数法、聚类和离群值分析方法,从碳排放经济贡献系数、碳生态支撑系数及其耦合协调关系等角度,探讨了过去19年中国各省土地利用碳排放的空间特征。结果表明:①2000—2019年,全国土地利用碳排放显著增加;然而,2011年后,碳排放增速趋于平缓,而碳汇增长相对缓慢,两者差距依然较大。②聚类和离群值分析表明,研究期间,全国各省、市土地利用碳排放高值集聚中心从广东、江苏等省转移至河北、山西、内蒙古等省,集聚态势愈发明显。③全国各省、市碳排放经济贡献系数具有南高北低的空间特征,碳生态支撑系数由西高东低逐渐发展为西高东低再到北高南低,两者耦合协调度呈下降趋势。④基于碳排放经济贡献和碳生态支撑,本研究将各省分为低碳维持区、经济发展区、碳汇发展区和综合优化区四类。并提出了各自的发展建议,力求实现碳中和与低碳可持续发展。