Open Access

ARTICLE

Vegetation Cover Change and Its Driving Factors in the Chengdu-Chongqing Urban Agglomeration in the Past 20 Years

Wuyi Zhu¹, Meng Zou¹, Wenji Liu¹, Linlin Cui^2,*

1 College of Resources and Environment, Chengdu University of Information Technology, Chengdu, 610000, China
2 College of Sciences, Shihezi University, Shihezi, 832003, China

* Corresponding Author: Linlin Cui. Email:

Revue Internationale de Géomatique 2025, 34, 363-377. https://doi.org/10.32604/rig.2025.065708

Received 20 March 2025; Accepted 17 June 2025; Issue published 14 July 2025

Abstract

Exploring the spatiotemporal changes in Fractional Vegetation Coverage (FVC) helps to more accurately understand the quality of the ecological environment, which is of great significance for regional ecological protection and sustainable economic development. The study takes the Chengdu-Chongqing urban agglomeration as the research area, analyzes the characteristics and trends of vegetation cover changes from 2000 to 2020 using the Google Earth Engine cloud platform, and explores its driving factors based on the enhanced regression tree model. The results show that: (1) From 2000 to 2020, the annual FVC of the Chengdu-Chongqing urban agglomeration showed a fluctuating upward trend, with a stable phase from 2000 to 2003 and an upward phase from 2003 to 2020. (2) During the research period, most areas within the agglomeration exhibited negligible changes in FVC. In contrast, other areas showed a complex pattern of both vegetation degradation and improvement. The areas with improved FVC were sporadically distributed, accounting for 15.08% of the total area, whereas areas with substantial vegetation degradation constituted 11.60%. (3) The FVC in the Chengdu-Chongqing urban agglomeration is predominantly influenced by four key factors: population dynamics, forestry management practices, annual sunshine duration, and annual precipitation. Collectively, these factors account for 99.31% of the variation in FVC, with anthropogenic factors (population dynamics and forestry management) exerting the most significant influence.

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Keywords

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