基于MSPA-Graphab耦合的首都核心区多物种生境网络优化研究
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国家自然科学基金项目“城市场地不透水面形态的水文生态效应及其更新设计研究”(编号:52078006)


Optimizing Multi-Species Habitat Networks in Beiing's Core FunctionalArea: An MSPA-Graphab Coupling Approach
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    针对首都核心区生态功能碎片化及多物种生境网络优化机制的科学问题,以大斑啄木鸟(Dendrocopos major)、远东刺猬(Erinaceus amurensis)、中华蟾蜍(Bufo gargarizans)为指示物种,构建“源地识别-网络分析-策略优化”的技术框架,为高密度建成环境下绿地精细化管理提供支撑。基于高精度遥感数据划分4类绿地功能空间及3种植被层级,融合非生物要素构建差异化阻力面,通过形态学空间分析识别核心源地与潜在廊道,利用Graphab 平台量化连通概率指数(PC)、连通概率变化指数(dPC)、节点度指数(ND)及最大连通单元面积(SLC),揭示连通性空间分异特征,并提出跨物种生境薄弱区修复方案。结果显示,核心生境斑块面积占绿色空间面积50%以上,但空间分布失衡,高dPC斑块南北部集中而东西部稀缺,廊道存在局部高等级集中但全域破碎化问题。物种生态位分化与绿地功能空间的交互作用影响了研究区生境连通性的差异,物种微生境对垂直植被结构的选择间接影响了网络格局的塑造。通过空间叠加优化,最终识别35个核心源地、33个踏脚石及38条关键廊道,揭示了垂直生境对物种迁移路径的差异化影响,新增10个潜在斑块以有效疏通东西部连通断点,为生物多样性保育与绿地精准管控提供了科学依据。

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    To address the scientifi c issues of ecological function fragmentation and multi-species habitat network optimization mechanisms in the capital’s core area, this study selected the Great Spotted Woodpecker (Dendrocopos major), Far Eastern Hedgehog (Erinaceus amurensis), and Chinese Toad (Bufo gargarizans) as indicator species. A technical framework of “habitat resistance identifi cation - network connectivity assessment - spatial optimization” was constructed to support the refi ned management of green spaces in high-density built environments. Based on high-precision remote sensing data, four types of green space functional zones and three vegetation levels were classifi ed. Diff erentiated resistance surfaces were constructed by integrating abiotic elements. Core source areas and potential corridors were identifi ed using Morphological Spatial Pattern Analysis (MSPA). The Graphab platform was employed to quantify the Probability of Connectivity (PC), Delta Probability of Connectivity (dPC), Node Degree (ND), and the Size of the Largest Connected Component (SLC). This revealed the spatial diff erentiation characteristics of connectivity and proposed restoration plans for cross-species habitat vulnerable areas. Results show that core habitat patches account for over 50% of the total green space area, but their spatial distribution is unbalanced. Patches with high dPC values are concentrated in the northern and southern regions but are scarce in the eastern and western areas. Corridors exhibit the problem of localized high-level concentration alongside overall fragmentation. The interaction between species niche diff erentiation and green space functional zones infl uences the diff erences in habitat connectivity within the study area. Species’ selection of microhabitats based on vertical vegetation structure indirectly shapes the network pattern. Through spatial superposition optimization, 35 core source areas, 33 stepping stones, and 38 key corridors were ultimately identifi ed, revealing the diff erential infl uence of vertical habitats on species migration paths. The addition of 10 potential patches eff ectively mitigated connectivity breakpoints between the eastern and western regions, providing a scientifi c basis for biodiversity conservation and the precise management and control of green spaces.

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祁筱迪,李强. 基于MSPA-Graphab耦合的首都核心区多物种生境网络优化研究 [J]. 园林, 2026, 43 (8): 71-81. 复制

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  • 在线发布日期: 2026-08-04
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