地理学报 ›› 2020, Vol. 75 ›› Issue (11): 2459-2474.doi: 10.11821/dlxb202011014

• 生态文明与可持续发展 • 上一篇    下一篇

基于MCR模型和DO指数的九江滨水城市生态安全网络构建

戴璐1(), 刘耀彬1(), 黄开忠2   

  1. 1. 南昌大学经济管理学院,南昌 330031
    2. 江西省九江市水文局,九江 332000
  • 收稿日期:2019-09-06 修回日期:2020-07-02 出版日期:2020-11-25 发布日期:2021-01-25
  • 通讯作者: 刘耀彬
  • 作者简介:戴璐(1989-), 女, 江西吉安人, 博士生, 研究方向为城市网络与区域治理。E-mail: dailu.chn@outlook.com
  • 基金资助:
    国家自然科学基金项目(41871155)

Construction of an ecological security network for waterfront cities based on MCR model and DO index: A case study of Jiujiang city

DAI Lu1(), LIU Yaobin1(), HUANG Kaizhong2   

  1. 1. School of Economics and Management, Nanchang University, Nanchang 330031, China
    2. Jiujiang Hydrology Bureau, Jiujiang 332000, Jiangxi, China
  • Received:2019-09-06 Revised:2020-07-02 Online:2020-11-25 Published:2021-01-25
  • Contact: LIU Yaobin
  • Supported by:
    National Natural Science Foundation of China(41871155)

摘要:

兼顾生态保护和经济增长的生态安全网络对引导滨水城市走可持续发展道路具有重要指导意义。本文以九江市为例,采用景观生态数据集和产业信息数据集,结合最小累积阻力模型(MCR)和连续空间的产业集聚测度指数(DO)构建了综合评价方法,分别对景观生态格局和经济生产空间进行分析,诊断二者的空间冲突确定战略节点并构建生态安全网络。结果表明:① 研究区包含重要生态源地29个,总面积为7323 km2;生态安全阻力高值区面积占39.69%,位于城市中部和东部连片区域,低值区则处于外围,且连通过渡区域较少,呈现空间上两极分化的“中心—外围”景观生态格局;② 经济生产空间临近水资源分布,呈现为小尺度集聚、大尺度分散的空间格局;主要产业集聚区的平均长度和数量均显示出重度污染行业>轻度污染行业>中度污染行业的空间关系;③ 识别出景观生态廊道总长685.57 km,选取了25个生态—经济战略节点,规划了18条总长424.53 km的重要绿带和26条总长662.46 km的一般绿带,共同构成了“蜂巢状”九江市生态安全网络格局。本文采用自然和经济条件相结合的综合分析视角,为生态安全格局的构建提供了多样化的实现途径。

关键词: 生态安全网络, MCR, DO指数, 九江市

Abstract:

It is of vital importance to construct an ecological security network that considers both the ecological protection and the economic growth to ensure the sustainable development in waterfront cities. Based on the ecological and industrial data of Jiujiang city, we develop a comprehensive ecological security evaluation framework using the minimum cumulative resistance (MCR) model and the Duranton and Overman (DO) index. Specifically, the MCR is applied to examine the ecological landscape pattern while the DO index is introduced to analyze the degree of industrial agglomeration in continuous large areas and economic production zones. Subsequently, the eco-economic strategic nodes and green infrastructure belts are identified based on spatial conflicts between the ecological landscape patterns and economic production zones. The results demonstrate that: (1) Jiujiang city contains 29 important ecological sources with a total area of 7323 km2. The areas with high-value of ecological security resistance account for 39.69%, which are distributed in the contiguous areas in the central and eastern parts of the city. In contrast, the low-value areas are on the city's periphery where there were fewer connected transition areas, which exhibit a spatially polarized "center-periphery" ecological landscape pattern. (2) The economic production zone is close to water sources, which presents spatial patterns of small-scale agglomeration and large-scale dispersion. The average length and number of agglomeration intervals are decreasing in heavily polluted, lightly polluted, and moderately polluted industries. (3) By analyzing the ecological sources, the resistance surface as well as the economic production zone, we determined ecological corridors with a length of 685.57 km and 25 eco-economic strategic nodes. As such, 18 important green infrastructure belts with a total length of 424.53 km and 26 regular green infrastructure belts with a total length of 662.46 km are designed to increase connectivity and maintain ecological processes. All of these elements constitute a "honeycomb" pattern of the ecological security network in Jiujiang city. This study expands the agglomeration economy perspective of the traditional ecological security network construction framework, and explores the data fusion of different scales. The study could contribute to scientific references for environmental management and regional sustainable development.

Key words: ecological security network, minimum cumulative resistance model, Duranton and Overman index, Jiujiang city