Ecology and Environment

Identification and optimization of ecological corridors in Shenmu City based on landscape ecological security

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  • School of Land Engineering, Chang’an University, Xi’an 710054, Shaanxi, China

Received date: 2020-11-05

  Revised date: 2021-03-01

  Online published: 2021-08-03

Abstract

In this study, the ecological security of the Shenmu City landscape was evaluated to optimizing its ecological pattern. Principal component analysis, the natural break point method, and the multivariate curve resolution (MCR) model were used to obtain the distribution of the ecological security pattern in Shenmu City, China. Then, the ecological source area was extracted and the MCR model was used to construct the ecological corridor that optimizes the ecological landscape pattern. The results showed that the landscape security of Shenmu City is divided into five levels: The first level area is mostly located in the northwest, with a few areas distributed in the southeast and the northern marginal areas; the secondary and tertiary regions are distributed in fragmented phases throughout the whole region; due to the impact of human activities and natural conditions, the fourth and fifth level regions are concentrated and distributed in the central construction area, with the southeast gully crisscross area of fragmented distribution. Of the 121 ecological corridors in Shenmu City, 19.08% exist independently, and 43.51% are not connected to the main ecological corridor group. Thus, 10 new ecological corridors were designed, with a total length of 76.69 km to improve the ecological corridor network and strengthen the connection between the independent ecological corridors and the ecological source land. The results of this study are of great significance to optimize the landscape ecological environment of Shenmu City and to construct an ecological security pattern.

Cite this article

WU Jinhua,LIU Siyu,BAI Shuai . Identification and optimization of ecological corridors in Shenmu City based on landscape ecological security[J]. Arid Zone Research, 2021 , 38(4) : 1120 -1127 . DOI: 10.13866/j.azr.2021.04.24

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