ORIGINAL RESEARCH
Evaluation, Spatial Analysis and Prediction
of Ecological Vulnerability in Chongqing
Municipality Based on GIS and Principal
Component Analysis (PCA)
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XinYang College, Xinyang 464000, China
Submission date: 2024-05-14
Final revision date: 2024-08-16
Acceptance date: 2024-08-23
Online publication date: 2024-10-07
Publication date: 2025-11-14
Pol. J. Environ. Stud. 2025;34(6):8143-8156
KEYWORDS
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ABSTRACT
Ecological vulnerability is an important constraint to sustainable, high-quality economic
development. In this paper, 38 districts and counties in Chongqing Municipality are the object of
study, and 12 representative indexes are selected using the SRP (Sensitivity-Recovery-Pressure)
conceptual model. Principal component analysis (PCA) and geographic information system (GIS)
are used to evaluate and analyze the ecological vulnerability of Chongqing, and the driving factors
are identified by Geodetector. Finally, the ecological vulnerability of Chongqing in 2025 is predicted
by the gray prediction model GM(1,1). The results show that: 1) The ecological vulnerability of
Chongqing Municipality from east to west is characterized by a “low-middle-high” distribution with
obvious regional heterogeneity. 2) From 2010 to 2020, there is a trend of “overall stabilization but local
enhancement”. The migration from moderately and above vulnerable areas to more highly vulnerable
areas is significantly higher than the migration to micro and mild vulnerability areas, which is due to
socio-economic and vegetation factors dominating the region. 3) In 2025, moderate vulnerability will
expand spatially in the northeast of Chongqing Municipality, while severe and extreme vulnerability
will move to the periphery and the east. The results of this study can provide a theoretical basis and
decision support for ecological environment protection and sustainable development of Chongqing.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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