长江流域资源与环境 >> 2026, Vol. 35 >> Issue (2): 469-.doi: 10.11870/cjlyzyyhj202602015

• 生态环境 • 上一篇    下一篇

基于多源数据的旅游目的地生态风险评价、驱动机制及优化策略——以三峡库区为例

李辉1,2,3,贾玉婷2,3,杨也2,3,孙浩强1,王福海2,周启刚2,3,4   

  1. (1.西安交通大学管理学院,陕西 西安 710049;2.重庆财经学院公共管理学院,重庆401320;
    3.生态环境数据挖掘与集成应用重庆市重点实验室,重庆401320;4.重庆工商大学公共管理学院,重庆 400067)
  • 出版日期:2026-02-20 发布日期:2026-02-26

Multi-Source Data-Based Ecological Risk Assessment, Driving Mechanism, and Optimization Strategies: A Case Study of the Three Gorges Reservoir Area

LI Hui1,2,3,JIA Yu-tin2,3 ,YANG Ye2,3,SUN Hao-qiang1,WANG Fu-hai2,ZHOU Qi-gang2,3,4   

  1. (1.School of Management, Xi’an Jiaotong University, Xi’an 710049, China;
    2.School of Public Administration,Chongqing Finance and Economics College,Chongqing 401320,China;
    3.Chongqing Key Laboratory of Ecological Environment Data Mining and Integrated Application, Chongqing 401320, China;
    4.School of Public Administration,Chongqing Technology and Business University,Chongqing 400067, China)
  • Online:2026-02-20 Published:2026-02-26

摘要: 三峡库区作为兼具世界级水利工程景观与丰富自然人文资源的典型旅游目的地,其特殊的地理区位与巨型水库运行引发的生态环境效应始终是国际关注的焦点。旨在揭示三峡库区这一重要旅游目的地的生态风险时空演变规律及其驱动机制,为区域生态安全提供科学支撑。基于2000~2020年多源数据,集成Landsat遥感影像、人类活动(人口密度、夜间灯光指数等)与气候要素(年均温、降水等),构建“格局-过程-机制-策略”分析框架,采用生态风险指数核算模型、空间自相关和地理探测器等方法,系统解析生态风险时空特征。结果表明:(1)土地利用显著转型,建设用地扩张1 769.13  km2,形成沿长江干流蔓延的城镇化廊道,导致生态用地净减少2.36%;(2)生态风险呈“两翼扩散、轴向延伸”格局,空间集聚性减弱,风险等级整体向低风险转移,低风险区显著扩展,高风险区比例由20.03%降至19.37%,分布趋于均衡;(3)驱动分析显示,人类活动因子解释力(q=0.68)是自然因子(q=0.23)的2.95倍,夜间灯光指数与建设用地占比为主要驱动力。研究旨在为旅游目的地型大型水利工程影响区的生态风险防控与可持续发展提供方法支持与优化策略依据。

Abstract: As a typical tourist destination featuring both a world-class water conservancy project and abundant natural and cultural resources, the Three Gorges Reservoir Region has long attracted international attention due to its unique geographical location and the ecological and environmental effects induced by the operation of the mega-reservoir.This study aims to reveal the spatiotemporal evolution patterns and driving mechanisms of ecological risks in this important tourist destination, providing scientific support for regional ecological security.Using multi-source data—including Landsat imagery, human activity indicators (eg, population density, nighttime lights), and climate variables (eg, temperature, precipitation)—we developed a "pattern-process-mechanism-strategy" framework.Methods such as ecological risk assessment, spatial autocorrelation, standard deviational ellipse, and GeoDetector analysis were integrated to examine risk dynamics.Results show that: (1) land use underwent rapid transformation, with built-up areas expanding by 1,769.13  km2 along the Yangtze River corridor, leading to a 2.36% net loss of ecological land; (2) ecological risk shifted from localized clustering to a more dispersed pattern, characterized by “diffusion at both ends and extension along the axis” Overall, risk levels declined, with high-risk areas decreasing from 20.03% to 19.37%, while low-risk zones expanded significantly; (3) human activities exerted nearly three times greater influence than natural factors, with nighttime light intensity and built-up land proportion being the dominant drivers.Based on spatial heterogeneity, a three-tiered management strategy is proposed for risk mitigation.The study aims to provide methodological support and a basis for optimization strategies for ecological risk prevention and control, as well as sustainable development, in large water conservancy project-affected areas that are also major tourist destinations.

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