水土保持研究2024，Vol.31Issue(4)：298-307,10.DOI:10.13869/j.cnki.rswc.2024.04.028
广州市土地利用碳排放时空演变及影响因素
Spatiotemporal Evolution and Influencing Factors of Land-Use Carbon Emissions in Guangzhou
摘要
Abstract
[Objective]The purposes of this study are to explore the spatiotemporal evolution characteristics and influencing factors of land-use carbon emissions at different spatial scales,and to provide a reference basis for formulating reasonable carbon emission reduction measures and realize the goal of'dual carbon'.[Methods]The land-use carbon emissions in Guangzhou in 2000,2005,2010,2015 and 2020 were measured at township scale and 1 km grid scale.GIS spatial analysis,spatial autocorrelation,exploratory regression and geographically weighted regression(GWR)model were used to explore the spatiotemporal evolution characteristics and influencing factors of land-use carbon emissions in Guangzhou.[Results](1)At the two scales,the areas of medium and high carbon emission areas were gradually increasing,while the areas of negative carbon emission areas and low carbon emission areas were gradually decreasing.(2)The land-use carbon emissions in the region generally had strong positive spatial agglomeration characteristics,and the degree of agglomeration tended to strengthen.The high—high agglomeration and low—low agglomeration units were dominant,and the distribution of low—high agglomeration areas were sporadic and did not change much.(3)The local spatial agglomeration pattern also involved some changes:the distribution of high-high agglomeration areas was expanding gradually;the distribution of low—low agglomeration areas were shrinking at township scale,but expanding slightly at 1 km grid scale.(4)Land use structure,investment level and population size had positive effects on land-use carbon emissions,while population density of 95.32％of township units had inhibitory effects.[Conclusion]The level of land-use carbon emissions Guangzhou gradually increased and showed positive spatial agglomeration characteristics on the whole,and the impacts of various influencing factors on it were significantly different.The results of this study can provide the reference for Guangzhou to formulate precise carbon emission reduction measures.关键词
土地利用碳排放/空间自相关/探索性回归/GWR模型/广州市Key words
land-use carbon emissions/spatial autocorrelation/exploratory regression/GWR model/Guangzhou City分类
管理科学引用本文复制引用
魏俊超,梅志雄,马君杰,王心雨..广州市土地利用碳排放时空演变及影响因素[J].水土保持研究,2024,31(4):298-307,10.基金项目
教育部人文社会科学研究规划基金项目"面向生态安全的大区域土地利用优化配置以珠江三角洲地区为例"(23YJAZH101) （23YJAZH101）
