基于主体功能区的江苏省土地利用碳排放研究OACHSSCD

In the context of China's deepening promotion of the"dual carbon"strategy,optimizing land-use carbon emissions management has become a key link to achieve carbon peaking and carbon neutrality.Taking Jiangsu Province as the study area,this study calculates land-use carbon emissions for the years 2000,2010,and 2020 from both direct and indirect perspectives based on land-use data and energy consumption data.Spatial autocorrelation,Pearson correlation,and interpretable machine learning models are used to systematically reveal the spatiotemporal evolution and driving factors of land-use carbon emissions from the perspective of major function-oriented zones.The results indicate that:1)From 2000 to 2020,total land-use carbon emissions in Jiangsu increased from 18194.90 × 104t to 62722.45 × 104t,while carbon emission intensity decreased from 2.20 × 104t/104 Yuan to 0.62 × 104t/104 Yuan.2)National-level urbanized zones dominate total land-use carbon emissions,and carbon emission intensity across all function-oriented zones has significantly declined and tended to converge.3)Significant positive spatial autocorrelation exists at both grid and county scales,with the correlation strengthening over time.The grid scale shows more pronounced spatial clustering and differentiation.4)Urbanized zones are mainly driven by economic scale and construction intensity,whereas major agricultural production zones are jointly influenced by nighttime light intensity,economic scale,and natural geographic conditions.These results provide a scientific basis for identifying priority emission-reduction zones and formulating zone-specific low-carbon strategies in Jiangsu,and offer a useful reference for land-use emission assessment and management in other economically developed regions.