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基于生态网络效用的榆林市碳代谢空间分析

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城市碳代谢空间分析是优化城市土地利用和低碳发展的基础。本文以榆林市为研究对象,建立水平方向上的碳流模型,计算榆林市碳代谢密度。利用生态网络效用方法计算各用地类型的碳通量并将其标准化,得到水平方向的碳流矩阵(A),进而计算有效利用矩阵(D)和整体效用矩阵(U),研究土地利用变化对城市碳代谢空间的影响,分析榆林市碳流的时空分布。使用地理探测器模型分析碳代谢的驱动因素,找出影响城市碳代谢的主要驱动因素。结果表明:2000-2020年,土地利用变化加剧了榆林市碳代谢紊乱,净碳流量在水平和垂直方向均为负值;神木市和榆阳区是最主要的负碳代谢分室,南六县一直为正碳代谢分室;年均降水量和NDVI是影响城市碳代谢的主要驱动因素,年均温和夜间灯光对城市碳代谢的影响较小。研究结果对半干旱地区优化城市土地利用和低碳发展,实现增"汇"减"排",具有重要参考意义。
Spatial analysis of carbon metabolism in Yulin based on ecological network utility
Spatial analysis of carbon metabolism is the basis for optimizing urban land use and low-carbon develop-ment.In this study,we constructed a horizontal carbon flow model to calculate carbon metabolism density in Yulin City,Shaanxi Province.We employed the approach of ecological network utility to calculate and standardize carbon flux across different land-use types,and obtain the horizontal carbon flow matrix(A).Then,we acquired the effec-tive utilization matrix(D)and overall utility matrix(U),to examine the impact of land use changes on the spatial pattern of unban carbon metabolism and to analyze the spatiotemporal variations of carbon flow in Yulin City.We used a geographic detector model to analyze the driving factors of carbon metabolism and identify the primary drivers for urban carbon metabolism.The results showed that land use change aggravated the disturbance of carbon metabo-lism in Yulin City from 2000 to 2020,and the net carbon flow was negative in both horizontal and vertical direc-tions.Shenmu City and Yuyang District of Yulin City were the most important negative carbon metabolism compart-ments.Six counties in the south were positive carbon metabolism compartments.Annual average precipitation and NDVI were the primary drivers of variations of urban carbon metabolism,while annual average temperature and nighttime light exerted relatively minor influence.In conclusion,our results have reference significance for optimi-zing urban land use and facilitating low-carbon development in semi-arid areas,as well as realizing increasing car-bon sink and reducing carbon emissions.

urban carbon metabolismcarbon flowecological network utilityland use changegeographic detec-tor

胡安焱、王思博、贺屹、刘秀花、颜林、赵英杰

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长安大学水利与环境学院,西安 710054

旱区地下水文与生态效应教育部重点实验室,西安 710054

水利部旱区生态水文与水安全重点实验室,西安 710054

城市碳代谢 碳流 生态网络效用 土地利用变化 地理探测器

2024

生态学杂志
中国生态学学会

生态学杂志

CSTPCD北大核心
影响因子:1.439
ISSN:1000-4890
年,卷(期):2024.43(12)