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平原与山地超大城市生态环境质量差异性演进

张珂宁 汪洋 刘几淘 聂雪梅 夏雪 李培 李雨果 蔡骏

生态学报2026,Vol.46Issue(16):8591-8608,18.
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生态学报2026,Vol.46Issue(16):8591-8608,18.DOI:10.20103/j.stxb.202507081775

平原与山地超大城市生态环境质量差异性演进

Comparative evolution of ecological environment quality in plain and mountainous megacities:insights from the Chengdu-Chongqing urbanization process

张珂宁 1汪洋 2刘几淘 3聂雪梅 1夏雪 1李培 1李雨果 1蔡骏1

作者信息

  • 1. 重庆师范大学地理与旅游学院,重庆 401331||重庆师范大学地理信息系统应用研究重庆市高校重点实验室,重庆 401331
  • 2. 重庆师范大学地理与旅游学院,重庆 401331||重庆师范大学地理信息系统应用研究重庆市高校重点实验室,重庆 401331||重庆师范大学山区生态系统碳循环与碳调控重庆市重点实验室,重庆 401331
  • 3. 重庆市璧山区土地整治储备中心,重庆 404100
  • 折叠

摘要

Abstract

Rapid urbanization has profoundly altered the structure and function of urban ecosystems.Unveiling the evolutionary patterns and driving mechanisms of ecological environment quality in megacities with different geomorphic types is of great significance for optimizing urban spatial governance.This study selected Chongqing,a typical mountainous city,and Chengdu,a representative plain city,as case studies.Based on multi-source spatiotemporal data—including Landsat 5/8 imagery,Digital Elevation Model(DEM),Nighttime Light(NL),and OpenStreetMap(OSM)traffic networks—and leveraging the Google Earth Engine(GEE)cloud platform,we comprehensively applied the Remote Sensing Urban Ecological Index(RSUSEI),Landscape Pattern Index(LPI),and machine learning(ML)methods to systematically analyze the spatiotemporal evolution characteristics and driving mechanisms of ecological environmental quality in both cities.By integrating these datasets with robust computational approaches,the study provided a detailed,fine-scale,and multi-dimensional understanding of urban ecological dynamics.The results showed that:(1)From a temporal perspective,due to complex topographic barriers and ecological construction,Chongqing generally demonstrated an improving trend in habitat quality,while Chengdu,which is more weakly constrained by terrain and characterized by a rapidly expanding and fragmented urbanization model,exhibited an overall decline in habitat quality.(2)From a spatial pattern perspective,high-value ecological quality zones in Chongqing expanded from a"strip-like"to a"patch-like"distribution,indicating a gradual improvement and spatial stabilization of its overall ecological conditions.In contrast,Chengdu's high-value ecological zones evolved from"peripheral strip-like"to"ring-shaped patches,"yet showed a shrinking trend,while its low-value ecological zones expanded in a"radial wedge-shaped"pattern,suggesting an increasingly uneven spatial distribution of ecological quality.(3)From a structural perspective,high-value habitat areas in Chongqing maintained strong landscape connectivity and stability,whereas Chengdu exhibited increasing fragmentation,declining ecological quality,and weakened continuity of ecological corridors.(4)From a mechanistic perspective,Chengdu's driving mode shifted from a nature-society composite to one dominated by social factors,while natural factors continued to play the dominant role in Chongqing,reflecting the differing resilience and adaptability of their ecological systems.These findings reveal a distinct divergence in ecological driving mechanisms between plain and mountainous cities.In conclusion,significant differences were observed between mountainous and plain megacities in terms of ecological environmental quality evolution and driving mechanisms.This study provides an important reference for optimizing differentiated ecological patterns and formulating spatial governance strategies in megacities,offering deeper insights into sustainable urban development and contributing to the scientific basis for building resilient,ecologically harmonious,and livable urban environments.

关键词

城市生态环境质量/山地与平原超大城市/快速城市化/成都与重庆/机器学习

Key words

urban ecological quality/mountainous and plain megacities/rapid urbanization/Chengdu and Chongqing/machine leanring

引用本文复制引用

张珂宁,汪洋,刘几淘,聂雪梅,夏雪,李培,李雨果,蔡骏..平原与山地超大城市生态环境质量差异性演进[J].生态学报,2026,46(16):8591-8608,18.

基金项目

重庆市自然科学基金(CSTB2023NSCQ-MSX0643,CSTB2022NSCQ-MSX1535) (CSTB2023NSCQ-MSX0643,CSTB2022NSCQ-MSX1535)

国家自然科学基金(52478042) (52478042)

生态学报

OACHSSCD

1000-0933

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