Identification of Ecological Priority Areas Based on Nested-Scale Analysis: A Case Study of Metropolitan Nanjing, China

Identification of Ecological Priority Areas Based on Nested-Scale Analysis: A Case Study of Metropolitan Nanjing, China

Rapid urbanization has led to severe fragmentation of ecological spaces in high-density metropolitan regions, threatening urban ecological security and environmental well-being. While cities explore various restoration strategies, the systematic identification of ecological priority areas remains an...

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Bibliographic Details
Main Authors: Yuxi Zhu, Jianqiang Yang, Le Zhu, Liping Sun
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Land
Subjects:
ecological priority areas
high-density cities
nested-scale analysis
circuit theory
morphological spatial pattern analysis
Online Access:https://www.mdpi.com/2073-445X/14/1/60
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Summary:Rapid urbanization has led to severe fragmentation of ecological spaces in high-density metropolitan regions, threatening urban ecological security and environmental well-being. While cities explore various restoration strategies, the systematic identification of ecological priority areas remains an urgent challenge, particularly due to the limitations of multi-scale evaluation methods. This study develops an integrated nested-scale analytical approach to examine ecological elements at metropolitan and central urban levels, using Metropolitan Nanjing as a case study. The framework combines Morphological Spatial Pattern Analysis (MSPA), Landscape Connectivity Analysis, and INVEST Habitat Quality Assessment to identify ecological sources while employing a multi-dimensional ecological resistance evaluation system and Circuit Theory Model for critical node assessment. The findings reveal a notable spatial overlap between ecological pinch points and barrier points across scales, demonstrating the importance of nested-scale coupling in maintaining network stability. Through this analysis, 3297 ecological priority areas are identified and classified into three hierarchical categories, offering a practical framework for optimizing ecological networks in high-density metropolitan regions.
ISSN:2073-445X

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