摘要
控制碳排放是实现“双碳”战略目标和城市低碳发展的重要举措,城市形态与碳排放关系密切。基于2000—2020年碳排放、土地利用和景观格局指数等数据得到北京市碳排放和城市形态时空演变格局,构建面板数据模型探究城市形态对碳排放的影响,通过最优参数地理探测器揭示城市形态因子对碳排放的驱动因素。结果表明:(1)2000—2020年碳排放空间上呈现中心高、四周低、由中心向周边扩散的分布格局,其中2001—2005年和2010—2015年增幅分别为-13.8%和15.8%;(2)2000—2020年北京市城市形态因子具有明显的时空演变特征,平均斑块类型面积、最大斑块指数和有效格网大小增长率分别为56.4%、78%和112%,平均斑块密度呈下降趋势,斑块结合度和分散指数变化不明显;(3)城市形态与碳排放之间存在显著相关性,斑块密度和有效格网大小与碳排放呈负相关性,斑块结合度对碳排放有正向影响;(4)城市形态因子对碳排放影响程度排序为:有效格网大小>斑块类型面积>最大斑块指数>斑块结合度>分散指数>斑块密度>周长面积分维,且有效格网大小与分散指数的交互作用对碳排放空间异质性影响程度最高。不同地区应因地制宜考虑城市形态对碳排放的影响,进而制定其空间格局优化策略。
Controlling carbon emissions is a vital step toward reaching Carbon Emissions Peak and Carbon Neutrality Targets,as well as advancing low-carbon development in urban areas.There exists a significant correlation between spatio-temporal changes of urban form and carbon emissions.Firstly,based on carbon emissions,land use and landscape pattern indices from 2000 to 2020,the spatio-temporal distribution maps of carbon emissions and urban form in Beijing were generated.Secondly,we built panel data models to estimate the impact of urban forms on carbon emissions.Finally,the optimal parameter Geodetector was employed to reveal the driving factors of urban form on carbon emissions.The results show that:(1)The spatial distribution of carbon emissions from 2000 to 2020 exhibited a pattern of high concentration in the center,lower concentration in the surrounding areas,and dispersion from the center towards the periphery,accompanied by an increase of-13.8%and 15.8%from 2001 to 2005 and 2010 to 2015,respectively;(2)The urban form factors of Beijing exhibited clear spatial and temporal evolution characteristics from 2000 to 2020,with average Total class area,Largest patch index,and Effective mesh size experiencing growth rates of 56.4%,78%,and 112%,respectively.There was also a decreasing trend in average Patch density,while changes in Patch cohesion index and Interspersion&Juxtaposition index were found to be insignificant;(3)A significant correlation existed between urban form and carbon emissions,with Patch Density and Effective mesh size showing negative correlations,while Patch cohesion index exhibited a positive effect on carbon emissions;(4)The hierarchy of urban form factors influencing carbon emissions was as follows:Effective mesh size>Total class area>Largest patch index>Patch cohesion index>Interspersion&Juxtaposition index>Patch density>Perimeter-area ratio,moreover,the interaction between Effective mesh size and Interspersion&Juxtaposition index exhibited the greatest impact on the spatial heterogeneity of carbon
作者
宝力格
刘祎绯
BAO Lige;LIU Yifei(School of Landscape Architecture,Beijing Forestry University,Beijing 100083,China;Hangzhou International Urbanology Research Center&Zhejiang Urban Governance Studies Center,Hangzhou 311121,China)
出处
《生态学报》
CAS
CSCD
北大核心
2024年第17期7507-7519,共13页
Acta Ecologica Sinica
基金
国家自然科学基金(52078040)
中央高校基本科研业务费专项资金项目(2021SCZ04)
北京林业大学专业学位研究生课程案例库建设项目(KCAL24013)
北京林业大学研究生课程思政建设项目(KCSZ23049)。
