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[1]Wei Junchao,Mei Zhixiong,Ma Junjie,et al.Spatiotemporal Evolution and Influencing Factors of Land-Use Carbon Emissions in Guangzhou[J].Research of Soil and Water Conservation,2024,31(04):298-307.[doi:10.13869/j.cnki.rswc.2024.04.028]

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Spatiotemporal Evolution and Influencing Factors of Land-Use Carbon Emissions in Guangzhou

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 31 Number of periods: 2024 04 Page number: 298-307 Column: Public date: 2024-06-30

Title:: Spatiotemporal Evolution and Influencing Factors of Land-Use Carbon Emissions in Guangzhou

Author(s):: Wei Junchao, Mei Zhixiong, Ma Junjie, Wang Xinyu; (School of Geography, South China Normal University, Guangzhou 510631, China)

Keywords:: land-use carbon emissions; spatial autocorrelation; exploratory regression; GWR model; Guangzhou City

CLC:: F301.2; X16

DOI:: 10.13869/j.cnki.rswc.2024.04.028

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.

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Last Update: 2024-06-30