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生态学杂志 ›› 2024, Vol. 43 ›› Issue (2): 550-563.doi: 10.13292/j.1000-4890.202402.040

• 研究报告 • 上一篇    下一篇

基于RSEVI和地理探测器的安徽省5A级景区生态脆弱性评价

郭贝贝,崔莹雪*   

  1. (安徽大学商学院, 合肥 230601)
  • 出版日期:2024-02-06 发布日期:2024-02-07

Ecological vulnerability assessment of scenic spots based on RSEVI and geographic detector.

GUO Beibei, CUI Yingxue*   

  1. (College Business of Anhui University,  Hefei 230601, China).
  • Online:2024-02-06 Published:2024-02-07

摘要: 旅游景区作为在维持区域生态环境和发展区域旅游经济方面具有重要作用的生态系统,近年来水土流失、植被退化等生态环境问题突出,景区生态脆弱性监测评估重要性显现。本文使用多源影像构建了遥感生态脆弱性指数(RSEVI),以安徽省12个国家5A级景区为例,选取2010年、2015年和2020年研究景区生态脆弱性时空分异,并通过地理探测器模型进行驱动力分析。结果表明:安徽省5A级景区生态环境脆弱性分布整体上存在较大差异,景区内脆弱性以中度脆弱为主;大部分地文景观类景区与文化遗址类景区的生态脆弱性总体得到缓解,水域风光类及娱乐购物类景区则逐年恶化;不同景区间主导因素与主导交互因素存在差异,其中人类干扰指标与其他评价因子存在较强的交互作用。研究结果可为旅游景区生态环境评价和保护提供方法借鉴,为区域生态建设及治理规划提供依据。


关键词: 生态脆弱性, 遥感指数, 地理探测器, 旅游景区

Abstract: As a type of ecosystem that plays an indispensable role in conserving regional environments and boosting regional economies, scenic spots have recently been confronted with several ecological problems, such as soil erosion and vegetation degradation. There are critical needs to monitor and evaluate the ecological vulnerability at a scenic spot scale. We established a remote-sensing-based ecological vulnerability index (RSEVI) based on multi-source remote sensing imagery. This index was applied to the 12 national 5A scenic spots in Anhui Province, China, to investigate the spatiotemporal changes of ecological vulnerability for the years 2010, 2015, and 2020. The driving factors of these changes were analyzed using a Geodetector model. The overall distribution of ecological vulnerability differed greatly among the national 5A scenic spots in Anhui Province, with the level of vulnerability classified as moderate for most areas. Most of the scenic spots consisting of landscape geography and cultural relics demonstrated an overall alleviation in ecological vulnerability, while that of the water scenery and entertainment and shopping exhibited a worsening trend over these years. Differences among different scenic spots varied in the dominant and interactive factors, among which human disturbance index had a significant interaction with other evaluation factors. Our results could offer methodological reference for the evaluation and preservation of the ecological environment in scenic spots, and provide a basis for regional ecological construction and management planning.


Key words: ecological vulnerability, remote sensing based index, geographic detector, scenic spot