Construction and Optimization of Ecological Security Pattern Based on Spatial Syntax Classification—Taking Ningbo, China, as an Example

Construction and Optimization of Ecological Security Pattern Based on Spatial Syntax Classification—Taking Ningbo, China, as an Example

Urbanization is the development trend of all countries in the world, but it has caused considerable ecological problems that need to be alleviated by building ecological security patterns. This study took Ningbo as an example to construct and optimize an ecological security pattern. We analyzed land...

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Main Authors: Yu Han, Chaoyue Yu, Zhe Feng, Hanchu Du, Caisi Huang, Kening Wu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Land
Subjects:
ecological corridors
ecological security pattern
MCR model
spatial syntax
protection priority
Online Access:https://www.mdpi.com/2073-445X/10/4/380
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spelling doaj-ad0975fced3f4bc1802de803e312a6f32021-04-06T23:05:22ZengMDPI AGLand2073-445X2021-04-011038038010.3390/land10040380Construction and Optimization of Ecological Security Pattern Based on Spatial Syntax Classification—Taking Ningbo, China, as an ExampleYu Han0Chaoyue Yu1Zhe Feng2Hanchu Du3Caisi Huang4Kening Wu5School of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100193, ChinaSchool of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaSchool of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaSchool of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaSchool of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaUrbanization is the development trend of all countries in the world, but it has caused considerable ecological problems that need to be alleviated by building ecological security patterns. This study took Ningbo as an example to construct and optimize an ecological security pattern. We analyzed land use types, normalized difference vegetation index, and landscape connectivity for ecological sources selection. In constructing the resistance surface, we considered natural and socio-economic factors. On this basis, we identified ecological corridors based on a minimum cumulative resistance model. Finally, the ecological security pattern was optimized through space syntax. Results showed that Ningbo has 18 ecological sources, with an area of 3,051.27 km<sup>2</sup> and 29 ecological corridors, with a length of 1,172.18 km. Among them, 11 are first-level, 10 are second-level, and 8 are third-level corridors. After optimization, the area and protection cost of the ecological security pattern were significantly reduced, which can effectively alleviate the trade-off between ecological protection and economic development. This research can provide a reference for the construction and optimization of ecological security patterns and has reference significance for ecological protection in rapidly urbanized areas.https://www.mdpi.com/2073-445X/10/4/380ecological corridorsecological security patternMCR modelspatial syntaxprotection priority
collection DOAJ
language English
format Article
sources DOAJ
author Yu Han
Chaoyue Yu
Zhe Feng
Hanchu Du
Caisi Huang
Kening Wu
spellingShingle Yu Han
Chaoyue Yu
Zhe Feng
Hanchu Du
Caisi Huang
Kening Wu
Construction and Optimization of Ecological Security Pattern Based on Spatial Syntax Classification—Taking Ningbo, China, as an Example
Land
ecological corridors
ecological security pattern
MCR model
spatial syntax
protection priority
author_facet Yu Han
Chaoyue Yu
Zhe Feng
Hanchu Du
Caisi Huang
Kening Wu
author_sort Yu Han
title Construction and Optimization of Ecological Security Pattern Based on Spatial Syntax Classification—Taking Ningbo, China, as an Example
title_short Construction and Optimization of Ecological Security Pattern Based on Spatial Syntax Classification—Taking Ningbo, China, as an Example
title_full Construction and Optimization of Ecological Security Pattern Based on Spatial Syntax Classification—Taking Ningbo, China, as an Example
title_fullStr Construction and Optimization of Ecological Security Pattern Based on Spatial Syntax Classification—Taking Ningbo, China, as an Example
title_full_unstemmed Construction and Optimization of Ecological Security Pattern Based on Spatial Syntax Classification—Taking Ningbo, China, as an Example
title_sort construction and optimization of ecological security pattern based on spatial syntax classification—taking ningbo, china, as an example
publisher MDPI AG
series Land
issn 2073-445X
publishDate 2021-04-01
description Urbanization is the development trend of all countries in the world, but it has caused considerable ecological problems that need to be alleviated by building ecological security patterns. This study took Ningbo as an example to construct and optimize an ecological security pattern. We analyzed land use types, normalized difference vegetation index, and landscape connectivity for ecological sources selection. In constructing the resistance surface, we considered natural and socio-economic factors. On this basis, we identified ecological corridors based on a minimum cumulative resistance model. Finally, the ecological security pattern was optimized through space syntax. Results showed that Ningbo has 18 ecological sources, with an area of 3,051.27 km<sup>2</sup> and 29 ecological corridors, with a length of 1,172.18 km. Among them, 11 are first-level, 10 are second-level, and 8 are third-level corridors. After optimization, the area and protection cost of the ecological security pattern were significantly reduced, which can effectively alleviate the trade-off between ecological protection and economic development. This research can provide a reference for the construction and optimization of ecological security patterns and has reference significance for ecological protection in rapidly urbanized areas.
topic ecological corridors
ecological security pattern
MCR model
spatial syntax
protection priority
url https://www.mdpi.com/2073-445X/10/4/380
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