Construction and Optimization of an Ecological Network in Zhengzhou Metropolitan Area, China

Int J Environ Res Public Health. 2022 Jun 30;19(13):8066. doi: 10.3390/ijerph19138066.

Abstract

Rapid urbanization aggravates issues related to protection and optimization of the ecological environment. Constructing an ecological network system, including ecological values in planning, and using landscape effects efficiently are important for adjusting regional ecological space and promoting local sustainable development. Land use data from eight time points between 1980 and 2020 in the Zhengzhou Metropolitan Area were used to identify the local ecological sources, corridors and nodes and to identify an ecological network with high structural integrity. The study used the FLUS, MSPA, MCR, and gravity models, hydrological analysis, and network structure evaluation by applying tools such as ArcGIS, Guidos Toolbox and Conefor. The results indicated that: (1) among the nine major ecological sources, those in the Yellow River Basin connected the large-scale sources in the east and west of the network, and the rest were located in the northeast, southeast and southwest of the research area, semi-enclosing the main urban area of Zhengzhou. (2) There were 163 least-cost paths and 58 ecological corridors, mainly distributed along the Yellow River Basin. (3) There were 70 ecological nodes, divided into 10 strategic, 27 natural ecological and 33 artificial environment nodes, distributed in key locations such as the core of each source and the intersection of corridors. (4) The ecological network included all the landscape elements in the research area and connected the main ecological substrates in a semi-enclosing network structure with one horizontal and two vertical corridors and four clusters.

Keywords: Zhengzhou Metropolitan Area; ecological corridor; ecological network; ecological node; ecological source.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Conservation of Natural Resources*
  • Ecosystem*
  • Rivers
  • Urbanization

Grants and funding

This research was funded by National Key R&D Program of China, funder Lianqi Zhu, funding number 2021YFE0106700, Natural Science Foundation of Henan, funder Tianqi Li, funding number 212300410126.