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基于生态系统服务簇评价的长沙市生态修复优先区识别

蒋红波 覃盟琳 王政强 罗丁丁 吴欣芋

蒋红波,覃盟琳,王政强,等.基于生态系统服务簇评价的长沙市生态修复优先区识别[J].环境工程技术学报,2023,13(4):1325-1333 doi: 10.12153/j.issn.1674-991X.20220983
引用本文: 蒋红波,覃盟琳,王政强,等.基于生态系统服务簇评价的长沙市生态修复优先区识别[J].环境工程技术学报,2023,13(4):1325-1333 doi: 10.12153/j.issn.1674-991X.20220983
JIANG H B,QIN M L,WANG Z Q,et al.Identification of priority areas for ecological restoration based on evaluation of ecosystem service bundles:taking Changsha City as an example [J].Journal of Environmental Engineering Technology,2023,13(4):1325-1333 doi: 10.12153/j.issn.1674-991X.20220983
Citation: JIANG H B,QIN M L,WANG Z Q,et al.Identification of priority areas for ecological restoration based on evaluation of ecosystem service bundles:taking Changsha City as an example [J].Journal of Environmental Engineering Technology,2023,13(4):1325-1333 doi: 10.12153/j.issn.1674-991X.20220983

基于生态系统服务簇评价的长沙市生态修复优先区识别

doi: 10.12153/j.issn.1674-991X.20220983
基金项目: 国家自然科学基金项目 (52268008)
详细信息
    作者简介:

    蒋红波(1998—),男,硕士研究生,主要从事景观生态规划与生态修复研究,1050512327@qq.com

    通讯作者:

    覃盟琳(1978—),男,副教授,主要从事生态低碳规划研究,XDrenju@163.com

  • 中图分类号: X171.1

Identification of priority areas for ecological restoration based on evaluation of ecosystem service bundles:taking Changsha City as an example

  • 摘要:

    为快速有效地划分长沙市生态修复优先级,构建了“生态系统服务簇—城市化强度”体系的生态修复优先区识别研究框架,运用生态系统服务价值计算模型、聚类分析、线性回归模型、空间统计等方法,识别研究区生态系统服务簇,对生态系统服务簇综合服务能力演变和城市化强度变化进行空间统计,进而识别出研究区生态修复优先区,并提出生态修复和保护策略。结果表明:城市扩张大量侵占城市周边土地,致使长沙市主城区4个生态系统服务簇在2000—2020年,有1 821个网格(占比为20.15%)发生了服务簇类型的改变;城市扩张破坏原有生态环境和景观格局,致使城市化发展对生态系统服务簇发展的影响始终是负面的,且随着城市化速度加快,其负面影响愈加明显;生态修复优先区被划分为5个等级,2 609个网格(占比为28.87%)需要进行生态修复,其中Ⅰ级生态修复优先区占比为13.53%,Ⅱ级、Ⅲ级、Ⅳ级占比分别为0.58%、12.53%、2.23%。Ⅰ级和Ⅲ级生态修复优先区应注重关键生态系统服务能力的提升,Ⅱ级和Ⅳ级生态修复优先区和生态保护区则应注重现有生态系统服务功能的保持。该方法能够快速定位高速城市化与生态系统受损同时发生的区域,并为不同分区修复策略的制定提供参考,在提升生态系统服务能力的同时,降低城市化对生态系统的负面影响。

     

  • 图  1  研究区概况

    Figure  1.  Overview of the study area

    图  2  技术路线

    Figure  2.  Technology route

    图  3  不同聚类数轮廓系数

    Figure  3.  Contour coefficient of different bundle numbers

    图  4  各生态系统服务簇功能结构

    注: 图中数值为各生态系统服务类型在相应服务簇中的占比。

    Figure  4.  Functional structure of each ecosystem service bundle

    图  5  2000—2020年生态系统服务簇空间分布

    Figure  5.  Spatial distribution of ecosystem service bundles from 2000 to 2020

    图  6  生态系统服务簇综合服务能力与城市化强度相关关系

    Figure  6.  Relationship between comprehensive service capacity of ecosystem service bundles and urbanization intensity in Changsha City at various periods

    图  7  生态系统修复优先区

    Figure  7.  Priority areas for ecosystem restoration

    表  1  单位面积生态系统服务价值当量[28-29]

    Table  1.   Ecosystem service value equivalent per unit area 元/hm2 

    生态系统服务旱地水田林地草地水系湿地建设用地未利用地
    一级类二级类
    供给服务食物生产2199.203518.71653.29603.702069.831319.5200
    原料生产1034.92232.861500.63888.30595.081293.6500
    水资源供给51.75−6804.57776.19491.5921448.636701.0800
    调节服务气体调节1733.482871.894935.263122.001992.214915.85051.75
    气候调节931.421474.7614766.968253.465924.899314.2400
    净化环境258.73439.844327.242725.2814359.469314.240258.73
    水文调节698.577037.439663.536045.63264524.5362690.04−18628.4977.62
    支持服务土壤保持2664.9125.876008.983803.322406.185976.6410168.0551.75
    维持养分循环310.47491.59459.24293.23181.11465.7100
    生物多样性336.35543.335472.123458.346597.5920361.97051.75
    文化服务美学景观155.24232.862399.711526.504889.9812237.88025.87
    下载: 导出CSV
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  • 收稿日期:  2022-10-10
  • 录用日期:  2023-04-21
  • 修回日期:  2022-11-23
  • 网络出版日期:  2023-05-15

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