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ORIGINAL RESEARCH article

Front. Environ. Sci.
Sec. Ecosystem Restoration
Volume 12 - 2024 | doi: 10.3389/fenvs.2024.1349324

Evolution of Long-Term Ecological Security Patterns of Island City and Its Influencing Factors-A Case Study in Pingtan Island Provisionally Accepted

 Binsheng Wu1 Kunli Dai2 Chunqing Liu1*  Jingru Chen3
  • 1Jiangxi Agricultural University, China
  • 2Central Party School of the Communist Party of China, China
  • 3Jimei University, China

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In this study, we simulated the evolution of the ecological security pattern (ESP) of Pingtan Island from 2000 to 2020 by extracting the ecological sources using Remote Sensing Ecological Index (RSEI), and identifying the ecological corridors and key nodes by combining with Linkage Mapping (LM) and Circuit Theory. In addition, Geodetector was utilized to identify these major determinants af-fecting RSEI. The results showed (1) From 2000 to 2020, the ecological environmental quality (EEQ) of Pingtan Island continued to improve, and the mean value of RSEI gradually increased from 0.47 to 0.51. (2) Univariate analysis showed that elevation and slope were the most significant factors affecting the spatial variability of the RSEI, with the interaction between slope and proportion of built-up area having a significant effect on EEQ. (3) The number and extent of ecological sources were expanded year by year with significant spatial variability. At the same time, the number and range of ecological corridors also underwent phase adjustment. (4) Further exploration of ESP of Pingtan Island in 2020 identified 32 ecological pinch points (EPPs) and 52 ecological barrier points (EBPs), which were mainly located within or near the ecological corridors, indicating key areas for future ecological restoration efforts. These insights help to enhance urban spatial planning and ecosystem restoration on Pingtan Island and provide a blueprint for ESP development in comparable island urban environments.

Keywords: Geodetector1, ecological corridors2, circuit theory3, Island cities4, remote sensing ecological indices5

Received: 04 Dec 2023; Accepted: 30 Jan 2024.

Copyright: © 2024 Wu, Dai, Liu and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mx. Chunqing Liu, Jiangxi Agricultural University, Nanchang, China