在"双碳"目标和保护生态环境的双重约束下,研究土地利用变化引起的碳排放与生态系统服务价值之间的交互关系对促进碳中和目标实现与区域高质量发展具有重要意义。选取长株潭城市群主城区为研究对象,以2000-2020年5期土地利用、能源消耗和社会经济等数据为基础,综合运用网格分析法和双变量空间自相关模型探索土地利用碳排放与生态系统服务价值的时空演变特征及交互作用规律。结果表明:(1)2000-2020年各土地利用类型间发生不同程度的转移,其中,耕地与林地分别减少392.77,268.10 km2,建设用地增加661.80 km2。(2)2000-2020年长株潭城市群的净碳排放量为正,整体表现为碳排放,且净碳排放量显著增加,由1 099.84×104 t增长到4 109.21×104 t;碳排放强度呈现中心高、边缘低的空间分布特征。(3)ESV缓慢降低,由392.06×108元下降到292.86×108元,下降幅度为5.34%;ESV强度整体呈现湘江流域高、周边区域低的空间分布特征。(4)土地利用碳排放强度与ESV强度之间存在明显的负相关性;二者的局部集聚类型可分为高高、低低、低高、高低4种,其空间分布范围各异。研究结果为揭示土地利用变化引起的碳排放与生态系统服务价值时空关系提供了参考。
Under the dual constraints of "dual carbon" goal and ecological environment protection, it is of great significance to study the interaction between carbon emissions caused by land use change and the value of ecosystem services to promote the realization of carbon neutrality goals and regional high-quality development. Selecting the main urban area of the Changzhutan urban agglomeration as the research object, based on the data of land use, energy consumption and socio-economy in the five periods from 2000 to 2020, the grid analysis method and bivariate spatial autocorrelation model were comprehensively used to explore the temporal and spatial evolution characteristics and interaction between land use carbon emissions and ecosystem service value. The results showed that:(1) From 2000 to 2020, different degrees of transfer occurred among various land use types, among which cultivated land and forest land decreased by 392.77 km2 and 268.10 km2, respectively, and construction land increased by 661.80 km2. (2) From 2000 to 2020, the net carbon emissions of Changzhutan urban agglomeration was positive, and the overall performance was carbon emissions, and the net carbon emissions increased significantly from 1 099.84×104 t to 4 109.21×104 t. The carbon emission intensity showed the spatial distribution characteristic of high center and low edge. (3) ESV decreased slowly from 392.06×108 yuan to 292.86×108 yuan, with a decrease of 5.34%. The ESV intensity showed the spatial distribution characteristic of high in the Xiangjiang River basin and low in the surrounding area. (4) There was a significant negative correlation between land use carbon emission intensity and ESV intensity, and the local agglomeration types of them could be divided into four types, which were high and high, low low, low high, high and low, respectively, and their spatial distribution ranges were different. The results provide a reference for revealing the spatiotemporal relationship between carbon emissions caused by land use change and the value of ecosystem services.
赵先超, 田一豆, 张潇湘.长株潭城市群土地利用碳排放与生态系统服务价值时空关系分析[J].水土保持学报,2023,37(5):215~225复制