The Construction of Ecological Security Patterns in Coastal Areas Based on Landscape Ecological Risk Assessment-A Case Study of Jiaodong Peninsula, China

Int J Environ Res Public Health. 2021 Nov 22;18(22):12249. doi: 10.3390/ijerph182212249.

Abstract

Increasing land utilization, population aggregation and strong land-sea interaction make coastal areas an ecologically fragile environment. The construction of an ecological security pattern is important for maintaining the function of the coastal ecosystem. This paper takes Jiaodong Peninsula in China, a hilly coastal area, as an example for evaluating landscape ecological risk within a comprehensive framework of "nature-neighborhood-landscape", based on spatial principal component analysis, and it constructs the ecological security pattern based on the minimum cumulative resistance model (MCR). The results showed that the overall level of ecological risk in the study area was medium. The connectivity between the areas of low landscape ecological risk was relatively low, and the high risk areas were concentrated in the north of the Peninsula. A total of 11 key ecological corridors of three types (water, green space and road corridors) and 105 potential corridors were constructed. According to the ecological network pattern, landscape ecological optimization suggestions were proposed: key corridors in the north and south of Jiaodong Peninsula should be connected; urban development should consider current ecological sources and corridors to prevent landscape fragmentation; and the ecological roles of potential corridors should be strengthened. This paper can provide a theoretical and practical basis for ecological planning and urban master planning in coastal areas in the future.

Keywords: ecological network; ecological security pattern; landscape ecological risk assessment; minimum cumulative resistance model; spatial principal component analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • City Planning
  • Conservation of Natural Resources*
  • Ecology
  • Ecosystem*
  • Risk Assessment