Constructing the Ecological Security Pattern of Nujiang Prefecture Based on the Framework of "Importance-Sensitivity-Connectivity"

Int J Environ Res Public Health. 2022 Aug 31;19(17):10869. doi: 10.3390/ijerph191710869.

Abstract

Constructing an ecological security pattern is vital to guaranteeing regional ecological security. The terrain and geomorphology of the alpine valley are complex and sensitive, meaning it is difficult to construct ecological security patterns. Therefore, the study takes Nujiang Prefecture as the study area and builds an "Importance-Sensitivity-Connectivity" (Importance of ecosystem service, eco-environmental sensitivity, and landscape connectivity) framework to carry on the comprehensive evaluation of the ecological security and identification of ecological sources. Furthermore, we constructed an ecological resistance surface using land-use type. Using the minimum cumulative resistance (MCR) model, the study identifies the ecological corridors and nodes to build ecological security patterns to optimize the ecological spatial structure of Nujiang Prefecture. The results showed that (1) the importance of ecosystem services was higher in the west and lower in the east. The high-sensitive areas of the ecological environment were distributed discontinuously along the banks of the Nujiang and the Lantsang River, and the areas with high landscape connectivity were distributed in patches in the Gaoligong Mountain Nature Reserve and the Biluo Snow Mountain. (2) The overall ecological security was in a good state, and the ecologically insecure areas were primarily distributed in Lanping County and the southeast region of Lushui City. (3) The primary ecological source area was identified to be 3281.35 km2 and the secondary ecological source area to be 4224.64 km2. (4) In total, 26 primary ecological corridors, 39 secondary ecological corridors, and 82 ecological nodes were identified.

Keywords: comprehensive evaluation of ecological security; ecological corridor; ecological node; ecological security pattern; minimum cumulative resistance model.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Cities
  • Conservation of Natural Resources*
  • Ecology
  • Ecosystem*
  • Rivers
  • Snow

Grants and funding

This research was funded by the National Natural Science Foundation of China (Grant No. 41161070), and the Key Project of the Yunnan Provincial Science and Technology Department-Yunnan University Joint Fund (Grant No. 2019FY003017).