Evidence map›Paper›PMID 41345442›Full record

ArticleScientific reports2025

Research on the resilience of ecological networks from the perspective of ecological security pattern: a case study of Wuhan metropolitan area.

Yingchao Zhao, Yucheng Fang, You Zou, Guiyuan Li, Bowen Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yingchao ZhaoSchool of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, 430068, China.
Yucheng FangSchool of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, 430068, China.
You ZouSchool of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, 430068, China. yzou@hbut.edu.cn.
Guiyuan LiSchool of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, 430068, China.
Bowen LiHubei United Investment Digital Industry Group, Wuhan, 430071, China.

Funding

Hubei Provincial Department of Science and Technology International Cooperation Program 2023EHA032the Hubei University of Technology Doctoral Research Fund XJ2024003201,XJ2022002401
6 · The paper itself

Abstract

Ecological network resilience-the fundamental capacity of ecosystems to maintain functional stability under external disturbances-has emerged as a focal topic in regional ecological security research. This study focuses on the Wuhan Metropolitan Area, employing multi-temporal datasets spanning 2000-2020. First, we developed an ecological security pattern evaluation framework integrating water resources, soil and water conservation, and ecosystem quality to identify ecological source areas. Next, we established a three-dimensional evaluation index system encompassing natural environment, human activities, and physical barriers to generate resistance surfaces. The MCR model was applied to extract ecological corridors and construct the source-corridor pattern. The gravity model was employed to construct ecological networks and analyze their topological structures. Finally, ecological network resilience was assessed through simulated disturbance scenarios. The results indicate that: (1) From 2000 to 2020, the number of ecological source areas was 55, 65, and 54, respectively, exhibiting a "rise-then-decline" trend. Spatially, these areas shifted from scattered to concentrated and contiguous. The network's core nodes evolved from a decentralized to a highly centralized control structure, increasingly influencing overall network resilience. (2) Over the same period, the number of ecological corridors was 1,485, 2,580, and 1,431, respectively, with primary corridors numbering 41, 89, and 139. These corridors exhibited a spatial pattern of "dense in the south and sparse in the north, dense in the periphery and sparse in the center." Despite the overall decrease, interaction strength increased, species circulation efficiency improved, and a stable ecological corridor ring gradually formed. (3) The ecological network evolved from incremental expansion to quality- and efficiency-oriented enhancement, ultimately forming an efficient and stable structure. Based on these findings, we identified 8 core nodes, 36 secondary nodes, 29 general nodes, and 86 key ecological corridors in the Wuhan Metropolitan Area, leading to the construction of a composite ecological security pattern characterized as "one screen, three cores, three axes, and multiple networks." Targeted optimization strategies were proposed to inform the sustainable development of composite ecosystem regions and guide the construction of ecological security patterns.

Indexed as

Ecological network resilienceGravity modelMCR modelRobustness modelWuhan metropolitan area

Identifiers

PMID41345442
PMCPMC12775493

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.