| 结合跨尺度连通贡献程度的城市群多尺度生态网络构建与优化：以西安都市圈为例 |
| 摘要点击 582 全文点击 5 投稿时间：2025-12-02 修订日期：2026-01-30 |
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| 中文关键词 多尺度生态网络 连通性优化 跨尺度连通贡献 西安都市圈 国土空间生态修复 生态源地 |
| 英文关键词 multi-scale ecological network connectivity optimization cross-scale connectivity contribution Xi'an metropolitan area ecological restoration of land space ecological source areas |
| DOI 10.13227/j.hjkx.202512035 |
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| 中文摘要 |
| 城市群生态系统在快速城市化背景下面临生境破碎化与生态功能退化的双重挑战，亟需构建多尺度生态网络以提升区域连通性与生态安全. 然而，现有多尺度生态网络优化方法存在高估局地源地连通贡献、忽视跨尺度中介作用和缺乏全局连通性系统评价等局限，制约了网络的连通效能与长时序稳定性. 针对上述问题，以西安都市圈为例，提出基于跨尺度连通贡献指数的多尺度生态网络优化方法，构建“全局连通性-定向连通性-跨尺度中介连通性”三维评价框架，综合都市圈、市域及城区三级尺度识别关键生态源地并构建生态网络. 结果表明：①该方法在大幅精简源地数量（保留率约14%）的同时有效保留了核心生态空间，筛选后源地呈现都市圈主导型趋向规模化、市域主导型承担中介桥梁功能、城区主导型发挥局地踏脚石作用的分异特征；②相较于既有方法（等权综合法和最大值法），本方法构建的网络在跨尺度中介性（0.512 4 vs. 0.286 1/0.304 9）、网络闭合度（0.417 4 vs. 0.306 3/0.308 8）和线点速率（0.827 8 vs. 0.612 1/0.617 1）等指标上均表现出显著优势；③在2000~2020年城市化进程中，既有方法的网络连接度骤降超过95%，而本方法实现89.7%的提升，展现出更强的长时序稳定性. 研究表明，跨尺度连通贡献指数能够有效识别具有多尺度枢纽功能的关键中介节点，实现网络结构优化与资源高效配置的协同，可为都市圈生态安全格局构建与国土空间生态修复提供科学依据. |
| 英文摘要 |
| Urban agglomeration ecosystems face dual challenges of habitat fragmentation and ecological function degradation under rapid urbanization， highlighting the urgent need to construct multi-scale ecological networks to enhance regional connectivity and ecological security. However， existing multi-scale ecological network optimization methods suffer from limitations such as overestimating the connectivity contribution of local patches， neglecting cross-scale mediating functions， and lacking systematic evaluation of global connectivity， which constrain network connectivity efficiency and long-term temporal stability. To address these issues， this study takes the Xi'an metropolitan area as a case and proposes a multi-scale ecological network optimization method based on the cross-scale connectivity contribution index （CCCI）， establishing a three-dimensional evaluation framework integrating "global connectivity-directional connectivity-cross-scale mediating connectivity" to identify key ecological source areas and construct ecological networks across metropolitan， municipal， and urban district scales. The results indicate that： ① This method significantly streamlines the number of source areas （retention rate of approximately 14%） while effectively preserving core ecological spaces， with the screened sources exhibiting differentiated characteristics—metropolitan-dominant sources trending toward large-scale consolidation， municipal-dominant sources serving as intermediary bridges， and urban district-dominant sources functioning as local stepping stones. ② Compared with existing methods （equal-weight integration method and maximum-value method）， the network constructed by this method demonstrated significant advantages in cross-scale intermediary connectivity （0.512 4 vs. 0.286 1/0.304 9）， network closure index （0.417 4 vs. 0.306 3/0.308 8）， and line-point ratio （0.827 8 vs. 0.612 1/0.617 1）. ③ During the urbanization process from 2000 to 2020， the network connectivity of existing methods plummeted by over 95%， whereas this method achieved a counter-trend increase of 89.7%， demonstrating superior long-term temporal stability. The findings suggest that the cross-scale connectivity contribution index can effectively identify key intermediary nodes with multi-scale hub functions， achieving synergy between network structural optimization and efficient resource allocation， thereby providing scientific basis for ecological security pattern construction and territorial ecological restoration in metropolitan areas. |
