不同绿色基础设施保护情景下生态网络响应与优化策略研究——以湖南省花垣县为例

Ecological Network Responses and Optimization Under Multiple Green Infrastructure Conservation Scenarios: A Case Study of Huayuan County, Hunan Province

  • 摘要: 在县域生态安全格局构建中,不同绿色基础设施保护模式会通过影响土地利用演化进一步作用于生态网络的完整性与连通性。本研究构建“一切照旧”(BAU)、源地保护(SCS)、廊道保护(CCS)和源地—廊道综合保护(ISCCS)4种情景,对2035年湖南省湘西土家族苗族自治州花垣县土地利用及生态网络响应进行模拟比较。结果表明:不同保护情景对土地利用的影响主要体现为空间分布调整,而非总量的明显分化,新增建设用地均不同程度避让了生态空间;SCS更有利于维持源地完整性,CCS在提升廊道连通效率和强化潜在生态流传输方面表现更优,而ISCCS未表现出明显优于CCS的综合连通效应。基于此,本研究提出“生态屏障稳定、关键廊道贯通、重要节点串联、分区分级管控”的生态网络优化策略,可为山地丘陵型县域绿色基础设施保护与生态网络优化提供参考。

     

    Abstract: In the construction of county-level ecological security patterns, different green infrastructure protection modes exert further impacts on the integrity and connectivity of ecological networks by influencing land use evolution. This study establishes four scenarios, namely 'Business as Usual' (BAU), Source Conservation Scenario (SCS), Corridor Conservation Scenario (CCS), and Integrated Source-Corridor Conservation Scenario (ISCCS), to simulate and compare the land use and ecological network responses of Huayuan County in 2035. The results indicate that the impacts of different protection scenarios on land use are mainly manifested in the adjustment of spatial distribution, rather than a significant differentiation in total quantity, and all newly added construction lands avoid ecological spaces to varying degrees. SCS is more conducive to maintaining the integrity of ecological sources, CCS performs better in improving corridor connectivity efficiency and enhancing potential ecological flow transmission, whereas ISCCS does not exhibit a comprehensive connectivity effect that is significantly superior to that of CCS. On this basis, this study proposes an ecological network optimization strategy characterized by 'ecological barrier stabilization, key corridor connection, important node linkage, and zoned and hierarchical management and control', which can provide a reference for the protection of green infrastructure and the optimization of ecological networks in mountainous and hilly counties.

     

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