苏北地区县域土地利用碳排放时空演变及驱动机制研究OACHSSCD
Spatio-temporal Evolution and Driving Mechanisms of County-level Land Use Carbon Emissions in Northern Jiangsu
探究土地利用碳排放(LUCE)的时空演变规律及其驱动机制,对县域层面低碳可持续发展具有重要现实意义.本文以苏北地区 37 个县域为研究区,综合土地利用、夜间灯光与能源统计数据,运用空间自相关、标准差椭圆、STIRPAT 扩展模型及时空地理加权回归(GTWR)模型,解析 2000-2020 年县域尺度 LUCE 的时空分异特征与驱动机制.结果表明:(1)2000-2020 年苏北 LUCE 总体增长率达 226.83%,建设用地面积增幅达 43.99%,碳排放在时序上呈现快速增长—增速放缓—趋于稳定三阶段特征;在空间上形成西北、东南高,中部偏低的分布格局.(2)全局 Moran's I 指数由 0.211 降至 0.208,空间集聚程度略有减弱;碳排放重心整体向东南方向迁移 8.61 km.(3)经济规模(F3,GDP)为核心驱动因子,回归系数最高达 4.961 6;能源强度(F7,EI)减排效应逐步显现,但存在时间滞后性,各驱动因素对 LUCE 的作用强度存在显著空间异质性.系统厘清区域内各因子对 LUCE 演变的影响,可有效识别碳排放驱动的时空效应,为苏北县域差异化减排政策的制定提供科学支撑.
Investigating the spatio-temporal evolution and driving mechanisms of land use carbon emissions(LUCE)is of paramount practical significance for promoting low-carbon sustainable development at the county level.Taking 37 counties in Northern Jiangsu as the study area,this research integrated multisource data—including land use,nighttime lights,and energy statistics—to analyze the spatio-temporal differentiation and drivers of county-level LUCE from 2000 to 2020.The methodology employed spatial autocorrelation,standard deviational ellipse(SDE),the STIRPAT model,and the geo-graphically and temporally weighted regression(GTWR)model.The results indicate that:From 2000-2020,the overall LUCE growth rate in Northern Jiangsu reached 226.83%,accompanied by a 43.99%increase in construction land area.Temporally,carbon emissions exhibited a three-stage trajectory:"rapid growth—decelerated growth—stabilization."Spa-tially,a distribution pattern emerged with higher concentrations in the northwest and southeast and lower levels in the cen-tral region.The global Moran's I index decreased from 0.211 to 0.208,suggesting a slight weakening in spatial agglomera-tion.Furthermore,the LUCE centroid shifted 8.61 km toward the southeast.Economic scale(F3,GDP)was identified as the predominant driver,with a maximum regression coefficient of 4.961 6.While the emission-reduction effect of energy intensity(F7,EI)progressively emerged,it exhibited a noticeable time lag.Moreover,the impact intensity of various driving factors on LUCE showed significant spatial heterogeneity.Systematically elucidating the influence of these factors on LUCE evolution enables the effective identification of spatio-temporal driving effects,providing scientific evidence for the formulation of differentiated carbon reduction policies in Northern Jiangsu.
武紫涵;佟帅;季翔
中国矿业大学力学与土木工程学院,江苏 徐州 221116中国矿业大学力学与土木工程学院,江苏 徐州 221116中国矿业大学力学与土木工程学院,江苏 徐州 221116||江苏建筑节能与建造技术协同创新中心,江苏 徐州 221116
管理科学
土地利用碳排放县域时空演变时空地理加权回归驱动机制
land use carbon emissionscounty-levelspatio-temporal evolutiongeographically and temporally weighted regressiondriving mechanism
《生态与农村环境学报》 2026 (8)
1047-1058,12
国家重点研发计划(2018YFD1100203)江苏建筑节能与建造技术协同创新中心重大研究基金计划项目(SJXTZD21052)江苏省研究生科研创新计划(KYCX23_2737)中国矿业大学研究生创新计划项目(2023WLKXJ058)
评论