ORIGINAL RESEARCH
Dynamics of Vegetation Coverage and its Climate Change Responsiveness: A Spatio-Temporal Analysis in Chongqing, Southwest China
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1
Chongqing Key Laboratory of Surface Process and Ecological Restoration in the Three Gorges Reservoir Area, School of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China
 
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Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
 
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University of Chinese Academy of Sciences, Beijing, China
 
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Chongqing Institute of Green and Intelligence Technology, Chinese Academy of Sciences, Chongqing 400714, China
 
These authors had equal contribution to this work
 
 
Submission date: 2025-09-21
 
 
Final revision date: 2025-12-21
 
 
Acceptance date: 2026-01-05
 
 
Online publication date: 2026-02-27
 
 
Corresponding author
Chengcheng Xia   

Chongqing Key Laboratory of Surface Process and Ecological Restoration in the Three Gorges Reservoir Area, School of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China
 
 
Jie Wei   

Chongqing Key Laboratory of Surface Process and Ecological Restoration in the Three Gorges Reservoir Area, School of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China
 
 
 
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ABSTRACT
To provide a robust theoretical framework for ecological restoration, the present paper reports the spatio-temporal transformations of vegetation coverage and its responsiveness to climatic factors in Chongqing spanning the years 2000 to 2022. The results show a significant overall increase in the normalized difference vegetation index (NDVI), indicating improved vegetation coverage, and that NDVI variability was greater at lower elevations. The Hurst index showed that the majority of the city (96.3%) was experiencing protracted and enduring transformations, with 89.2% anticipated to manifest a persistent amelioration trend and 7.1% projected to demonstrate a sustained degradation trajectory in the future. The partial correlation coefficients between NDVI and annual mean temperature and precipitation were -0.78~1 and -0.76~0.88, respectively. Generally, the NDVI presented a positive correlation with these two factors, with precipitation imposing a greater influence on vegetation growth. The findings of this study could provide information and serve as a point of reference for the prevention of ecological risks.
eISSN:2083-5906
ISSN:1230-1485
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