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基于MSPA-Linkage Mapper的长株潭核心区生态网络构建与优化

  • 佘宇晨 ,
  • 陈楚琳 ,
  • 毛淑桢 ,
  • 谭娟
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  • 1.国家林业和草原局中南调查规划院,长沙 410014
    2.中南林业科技大学,长沙 410004
    3.湖南人文科技学院,湖南 娄底 417000
佘宇晨,工程师,主要研究方向为森林经营管理、遥感智能解译。Email:sycsupper@qq.com

收稿日期: 2024-05-07

  修回日期: 2024-07-30

  网络出版日期: 2025-04-18

基金资助

国家重点研发计划“森林立地质量评价和全周期多功能经营决策平台”(2022YFD2200505)

Construction and Optimization of Ecological Network in the Core Area of Changsha-Zhuzhou-Xiangtan Based on MSPA-Linkage Mapper

  • Yuchen SHE ,
  • Chulin CHEN ,
  • Shuzhen MAO ,
  • Juan TAN
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  • 1. Central South Academy of Inventory and Planning of NFGA,Changsha 410014,China
    2. Central South University of Forestry and Technology,Changsha 410004,China
    3. Hunan University of Humanities,Science and Technology,Loudi 417000,Hunan,China

Received date: 2024-05-07

  Revised date: 2024-07-30

  Online published: 2025-04-18

摘要

快速城市化导致景观破碎化和生态环境风险加剧,构建与优化生态网络是保障区域生态安全格局、维持生态服务功能的重要措施。以长株潭核心区为例,基于形态学空间格局分析(MSPA)、遥感生态指数(RSEI)和景观连通性分析综合识别生态源地;根据地形地势、景观类型和人为干扰等因素,结合熵值法确定综合阻力面;通过Linkage Mapper建立生态网络,并采用新增踏脚石斑块与生态廊道的方法优化网络结构;对优化前后的生态网络结构指数进行对比评价。结果表明:1)基于MSPA识别出7种景观类型,其中核心区景观面积最大。2)研究区核心生态源地主要分布于东北部和南部区域,中西部相对稀疏,整体分布不均匀,景观连通性较差。3)受中心城区人为活动影响,研究区的综合阻力呈现中部高、向四周降低的特征。4)共识别出59条生态廊道,多集中于东北部和南部的优质生态斑块,而东西部的横向连通性较差。5)新增7个踏脚石斑块和19条生态廊道,优化后的网络结构指数显著提升,稳定性增强。优化后的生态网络结构在连通性和稳定性上均有显著改善,有助于提升研究区的景观连通性和生态系统修复能力,并有望缓解长株潭城市群高速化、规模化发展建设带来的生态环境问题。

本文引用格式

佘宇晨 , 陈楚琳 , 毛淑桢 , 谭娟 . 基于MSPA-Linkage Mapper的长株潭核心区生态网络构建与优化[J]. 林草资源研究, 2024 , 0(4) : 60 -69 . DOI: 10.13466/j.cnki.lczyyj.2024.04.007

Abstract

Rapid urbanization has led to landscape fragmentation and increased ecological risks.Constructing and optimizing ecological networks is crucial strategies for ensuring regional ecological security and sustaining ecosystem services.This study focuses on the core area of Changsha-Zhuzhou-Xiangtan urban agglomeration,using morphological spatial pattern analysis(MSPA),remote sensing ecological index(RSEI),and landscape connectivity analysis to comprehensively identify ecological source areas.Considering factors such as terrain,topography,landscape types,and human interference,and utilizing the entropy method to establish a combined resistance surface,the utilizing the entropy method to establish a combined resistance surface,the study employed Linkage Mapper to develop an ecological network,incorporating stepping stone patches and ecological corridors to enhance network structure.Subsequently,the structural indices of the optimized ecological network were compared before and after optimization.1)Seven distinct landscape types were identified through MSPA,with the core area boasts the largest expanse.2)Core ecological source areas are primarily located in the northeastern and southern regions of the study area,whereas middle and western regions exhibit relative sparsity with uneven distribution and poor connectivity.3)Affected by human activities in the central urban area,overall resistance within the study area is characterized by high levels in central locations,which decrease towards peripheral zones.4)A total of 59 ecological corridors were identified,predominantly concentrated around high-quality patches in the northeastern and southern areas,while lateral connectivity remains inadequate in the eastern and western sections.5)The addition of seven stepping stone patches and nineteen new ecological corridors led to significant improvements in both the structural indices of the optimized network and its stability.The optimized ecological network structure has achieved significant improvements in both connectivity and stability.These improvements underscore that optimization measures have effectively enhanced landscape connectivity and ecosystem restoration capabilities in this region,while potentially mitigating environmental issues caused by rapid urban development within the Changsha-Zhuzhou-Xiangtan urban agglomeration.

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