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基于生态安全格局的县域国土空间生态保护修复关键区域识别

黄丽萍 向芳芳 陈荣清

黄丽萍,向芳芳,陈荣清.基于生态安全格局的县域国土空间生态保护修复关键区域识别:以抚州市宜黄县为例[J].环境工程技术学报,2023,13(4):1334-1344 doi: 10.12153/j.issn.1674-991X.20221028
引用本文: 黄丽萍,向芳芳,陈荣清.基于生态安全格局的县域国土空间生态保护修复关键区域识别:以抚州市宜黄县为例[J].环境工程技术学报,2023,13(4):1334-1344 doi: 10.12153/j.issn.1674-991X.20221028
HUANG L P,XIANG F F,CHEN R Q.Identification of key areas for ecological protection and restoration of county territorial space based on ecological security pattern: a case study in Yihuang County of Fuzhou City[J].Journal of Environmental Engineering Technology,2023,13(4):1334-1344 doi: 10.12153/j.issn.1674-991X.20221028
Citation: HUANG L P,XIANG F F,CHEN R Q.Identification of key areas for ecological protection and restoration of county territorial space based on ecological security pattern: a case study in Yihuang County of Fuzhou City[J].Journal of Environmental Engineering Technology,2023,13(4):1334-1344 doi: 10.12153/j.issn.1674-991X.20221028

基于生态安全格局的县域国土空间生态保护修复关键区域识别—以抚州市宜黄县为例

doi: 10.12153/j.issn.1674-991X.20221028
基金项目: 国家自然科学基金项目(41261041)
详细信息
    作者简介:

    黄丽萍(1997—),女,硕士研究生,主要从事土地生态研究,626786849@qq.com

    通讯作者:

    陈荣清(1973—),男,教授,主要从事土地可持续利用研究,420888709@qq.com

  • 中图分类号: X171.4

Identification of key areas for ecological protection and restoration of county territorial space based on ecological security pattern: a case study in Yihuang County of Fuzhou City

  • 摘要:

    为了有效实现国土空间生态保护与修复,探讨国土空间生态安全格局构建与生态保护修复关键区域识别的方法具有重要意义。以抚州市宜黄县为例,基于“生态源地—景观阻力面—生态廊道”的基本框架,以MSPA(形态空间格局分析)模型识别生态源地,将生态保护重要性评价成果作为指标之一构建景观综合阻力面,集成最小累积阻力模型(MCR)、重力模型和电路理论,识别与提取生态廊道,构建国土空间生态安全格局。在此基础上,基于电路理论识别生态夹点、障碍点,进而判断出宜黄县国土空间生态保护修复的关键区域,对需要修复的关键区域进行修复分区并提出修复建议。结果表明:宜黄县有10个生态源地;生态廊道共19条,包括7条重要生态廊道和12条一般生态廊道;待修复生态夹点20处,障碍点26处;待修复关键区域38处,划定为5个生态修复分区,分别为农业用地生态建设区、城镇绿地建设维护区、河道治理修复区、生态用地维护修复区以及道路生态廊道畅通区。

     

  • 图  1  宜黄县行政区划与自然保护区分布

    Figure  1.  Administrative division and distribution of nature reserves in Yihuang County

    图  2  MSPA分析结果

    Figure  2.  MSPA analysis results

    图  3  核心区与连接桥景观连通性评价结果

    Figure  3.  Evaluation results of landscape connectivity between the core area and the connecting bridge

    图  4  宜黄县综合阻力面

    Figure  4.  Comprehensive resistance surface of Yihuang County

    图  5  生态廊道识别与提取

    Figure  5.  Identification and extraction of ecological corridors

    图  6  不同阈值下生态夹点识别的累计电流值

    Figure  6.  Cumulative current diagram of ecological pinch points recognition under different thresholds

    图  7  生态夹点、障碍点空间分布

    Figure  7.  Spatial distribution of ecological pinch points and obstacle points

    图  8  生态修复关键区域及其修复分区

    Figure  8.  Key areas of ecological restoration and their restoration partitions

    表  1  MSPA 7种景观类型及生态学含义

    Table  1.   Seven landscape types of MSPA and their ecological implications

    景观类型生态学含义
    核心区前景中较大的生态斑块,通常被认为是栖息地,
    是主要的生态源地
    岛状斑块独立且连接度较小的斑块,斑块间互不连接,
    能量交流低
    孔隙存在于核心区斑块与非生态用地之间的过渡
    区域,具有边缘效应
    边缘区核心区的边缘地带,是核心区斑块与非生态用地的过渡区域,起到缓冲作用,同样具有边缘效应
    桥接区生态用地(前景)中连接2个及以上核心区斑块的小于既定边缘宽度的狭长型区域,具有景观连接作用
    环岛区同一个核心区斑块中内部物质能力交流的通道与捷径
    支线只有一端与核心区斑块相连通,是核心区斑块的外延,是核心区斑块与外围景观进行物质能量交流的通道
    下载: 导出CSV

    表  2  阻力值权重与赋值表

    Table  2.   Weight and assignment table of resistance value

    阻力指标指标权重阻力因子因子权重指标阻力赋值
    土地利用覆盖0.26土地利用类型1林地生态系统1
    草地生态系统5
    湿地生态系统40
    农田生态系统50
    荒漠生态系统80
    城镇生态系统100
    地形地貌0.11DEM0.5<200 m5
    200~600 m30
    600~800 m50
    >800 m70
    地形起伏度0.50~20 m10
    20~100 m30
    >100 m70
    生态保护
    重要性
    0.63水源涵养、水土保持、生态
    敏感性
    1极重要5
    重要30
    一般重要70
    下载: 导出CSV

    表  3  MSPA景观类型面积统计

    Table  3.   MSPA landscape type area statistics

    景观要素面积/hm2占生态用地
    面积比例/%
    占研究区
    总面积比例/%
    核心区9 0533.07 55.04 46.73
    岛状斑块1277.730.780.66
    孔隙1602.180.970.83
    边缘区8126.104.944.19
    环岛8264.615.024.27
    连接桥5 1332.6731.2126.49
    支线3358.082.041.73
    下载: 导出CSV

    表  4  生态源地dPC排序统计

    Table  4.   dPC value ranking statistics of ecological sources

    排序生态源地编号dPC
    1856.42
    2521.72
    3716.65
    4912.44
    5111.17
    6106.62
    726.41
    846.15
    965.89
    1034.62
    下载: 导出CSV

    表  5  基于MCR模型与重力模型的生态源地相互作用矩阵

    Table  5.   Interaction matrix of ecological sources based on MCR model and gravity model

    生态源地
    编号
    12345678910
    11.524.980.767.151.240.340.460.590.25
    25.447.661.402.650.730.810.700.49
    33.076.1816.850.971.421.690.69
    40.632.031.140.990.740.61
    51.150.220.280.340.16
    60.651.111.160.47
    72.581.205.74
    810.814.93
    91.75
    10
    下载: 导出CSV

    表  6  基于不同模型下的生态网络结构特征指数

    Table  6.   Characteristics index of ecological network structure based on different models

    ɑ指数 β指数 γ指数 ρ指数
    基于MCR和重力模型 −0.13 0.70 0.29 0.000038
    基于电路理论 0.67 1.90 0.79 0.000031
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-10-20
  • 录用日期:  2023-04-18
  • 修回日期:  2022-12-15
  • 网络出版日期:  2023-05-15

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