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应用生态学报 ›› 2026, Vol. 37 ›› Issue (7): 2317-2328.doi: 10.13287/j.1001-9332.202607.026

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京津冀城市群三维生态足迹分异机制及多元时空匹配特征

李晶1, 付宇进1, 张瑄瑄1, 司岷卉1, 陈义忠2*, 张瑜1   

  1. 1河北师范大学地理科学学院, 石家庄 050024;
    2河北工业大学经济管理学院, 天津 300401
  • 收稿日期:2026-03-01 接受日期:2026-05-27 出版日期:2026-07-18 发布日期:2027-01-18
  • 通讯作者: *E-mail: 2019075@hebut.edu.cn
  • 作者简介:李 晶, 女, 1989年生, 博士, 讲师, 硕士生导师。主要从事环境风险评估研究。E-mail: lijingb10@hebtu.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(72573049)、河北省优秀青年科学基金项目(D2024202007)、河北师范大学科研基金项目(L2023K03)和河北省高等学校科学研究青年拔尖人才项目(BJK2024075)资助。

Differentiation mechanism and multivariate spatial-temporal matching characteristic of three-dimensional ecological footprint within the Beijing-Tianjin-Hebei urban agglomeration

LI Jing1, FU Yujin1, ZHANG Xuanxuan1, SI Minhui1, CHEN Yizhong2*, ZHANG Yu1   

  1. 1School of Geographical Science, Hebei Normal University, Shijiazhuang 050024, China;
    2School of Economics and Management, Hebei University of Technology, Tianjin 300401, China
  • Received:2026-03-01 Accepted:2026-05-27 Online:2026-07-18 Published:2027-01-18

摘要: 科学揭示京津冀城市群生态负载的空间分异成因及其时空匹配特征,对于区域可持续发展具有重要的战略意义。本研究基于三维生态足迹模型探究2000—2020年京津冀城市群自然资本利用格局,分别运用时空地理加权回归模型和重心理论,探究城市群三维生态足迹的空间分异成因及其与能源利用、经济发展的时空匹配特征。结果表明:2000—2020年间,京津冀城市群人均三维生态足迹整体呈波动式下降趋势,长期处于生态赤字状态(超载5.2倍);足迹广度在0.21~0.22 hm2·cap-1之间平稳波动,耕地是人均三维生态足迹和足迹广度分异的主要来源;足迹深度在8.26~11.46之间波动下降,草地是其分异的主要来源。社会经济指标对人均三维生态足迹的影响由强正向影响(0.27)转为强负向影响(-0.20);生态建设指标持续呈现弱负向影响;能源消耗则在2010年后由负向影响转为正向影响,成为后期生态足迹增长的重要驱动因素。多元时空匹配结果表明,足迹深度、能源消耗总量与人均GDP在时空尺度上具有较强协调性(平均值0.73),且显著高于单一时间(平均值0.55)和空间匹配度(平均值0.67),表明该区域自然资本利用、能源利用与经济发展在时空尺度保持较高协调关系。

关键词: 三维生态足迹, 自然资本利用, 驱动机制, 重心理论, 多元时空匹配

Abstract: Revealing the spatial differentiation cause and spatiotemporal matching characteristic of ecological loads in the Beijing-Tianjin-Hebei urban agglomeration (BTHUA) holds significant strategic importance for regional sustainable development. We explored natural capital utilization of the BTHUA by using the three-dimensional ecological footprint model. Based on the spatial-temporal geographically weighted regression model and the barycenter theory, we identified the causes for the spatial differentiation of the three-dimensional ecological footprint and its spatial-temporal matching characteristic with energy utilization and economic development. Results showed that the regional per capita three-dimensional ecological footprint showed an overall fluctuating downward trend and remained in a long-term ecological deficit state (exceeding the carrying capacity by 5.2 times). Footprint size fluctuated steadily from 0.21 to 0.22 hm2·cap-1. Cultivated land was the main source of the differentiation in per capita three-dimensional ecological footprint and footprint size. Footprint depth showed a fluctuating downward trend between 8.26 and 11.46, with grassland being the main contributor. The effect of socio-economic indicators on the three-dimensional ecological footprint shifted from strong positive effect (0.27) to strong negative effect (-0.20). The ecological construction indicator exhibited a continuous weak negative impact, while energy consumption remained an important driver of ecological footprint growth in the later stage, with its impact shifting from negative to positive after 2010. The results of multivariate spatiotemporal matching indicated that footprint depth, total energy consumption, and per capita GDP exhibited strong coordination at the spatiotemporal scale (mean value 0.73), being significantly higher than single temporal (mean value 0.55) and spatial matching degrees (mean value 0.67), demonstrating a high level of coordination between natural capital utilization, energy use, and economic development in the region at the spatiotemporal scale.

Key words: three-dimensional ecological footprint, natural capital utilization, driving mechanism, barycenter theory, multivariate spatial-temporal matching