Construction of ecological network using morphological spatial pattern analysis and minimal cumulative resistance models in Guangzhou City, China

Ying Yong Sheng Tai Xue Bao. 2018 Oct;29(10):3367-3376. doi: 10.13287/j.1001-9332.201810.019.

Abstract

Construction of ecological network is important for improving urban ecological environment under the scenarios of rapid urbanization. We extracted the core area with good connectivity as the ecological sources with the methods of morphological spatial pattern analysis (MSPA) and landscape index with Guangzhou City as the study area. The ecological network was then constructed by minimal cumulative resistance (MCR) model and was quantitatively analyzed by gravity model and connectivity indices. After that, an optimized ecological network was finally constructed. The results showed that ten core patches could be used as ecological sources. In addition, eighteen important corridors as well as twenty-seven general corridors were identified, which were mainly distributed in the northeast part of the city. Five more ecological sources and thirteen more planning corridors were suggested under the optimized ecological network. Our results indicated that forests were the main composition of ecological corridors. The appropriate width for the important corridor and planning corridor was 60-100 m and 30-60 m, respectively. Our results provide scientific guidance for designing urban ecological network.

构建生态网络对改善快速城市化背景下城市生态环境问题具有重要作用.本研究以广州市为研究区,采用形态学空间分析方法(MSPA)和景观指数法,提取景观连通性较好的核心区作为生态源地,并基于最小累积阻力模型(MCR)构建广州市生态廊道网络,通过重力模型和连通性指数定量分析生态网络结构,最后提出生态网络的优化对策.结果表明: 广州市共有10块核心区可作为生态源地,重要廊道有18条,一般廊道有27条,主要分布在研究区东北部;优化后的生态网络增加了5个生态源地和13条规划廊道,其结构指数有所改善;林地是生态廊道的主要组成景观,重要廊道的适宜宽度为60~100 m,规划廊道的适宜宽度为30~60 m.研究结果可为城市生态廊道规划提供科学参考.

Keywords: ecological corridor; ecological resistance surface; landscape pattern index; minimal cumulative resistance (MCR); morphological spatial pattern analysis (MSPA).

MeSH terms

  • China
  • Cities
  • City Planning
  • Conservation of Natural Resources
  • Ecosystem*
  • Forests
  • Spatial Analysis
  • Urbanization