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唐一虓, 付顺, 巩小栋, 等. 墨江哈尼族自治县生态环境质量时空变化及影响因子[J]. 四川林业科技, 2024, 45(3): 56−64. DOI: 10.12172/202309250004
引用本文: 唐一虓, 付顺, 巩小栋, 等. 墨江哈尼族自治县生态环境质量时空变化及影响因子[J]. 四川林业科技, 2024, 45(3): 56−64. DOI: 10.12172/202309250004
TANG Y X, FU S, GONG X D, et al. Spatial-temporal changes and influencing factors of eco-environmental quality in Mojiang Hani Autonomous County[J]. Journal of Sichuan Forestry Science and Technology, 2024, 45(3): 56−64. DOI: 10.12172/202309250004
Citation: TANG Y X, FU S, GONG X D, et al. Spatial-temporal changes and influencing factors of eco-environmental quality in Mojiang Hani Autonomous County[J]. Journal of Sichuan Forestry Science and Technology, 2024, 45(3): 56−64. DOI: 10.12172/202309250004

墨江哈尼族自治县生态环境质量时空变化及影响因子

Spatial-temporal changes and influencing factors of eco-environmental quality in Mojiang Hani Autonomous County

  • 摘要: 调查区域生态环境质量时空变化有助于对生态环境的保护和改善提供指导和进行协调。基于2005—2020年Landsat遥感数据,运用遥感生态指数(RSEI)和地理探测器模型,探究墨江哈尼族自治县生态环境质量时空变化及影响因子。结果表明:(1)研究区2005—2020年遥感生态指数均值分别为0.5689、0.5824、0.5866、0.5985,呈现出逐年增长的趋势;(2)2020年研究区生境质量等级为优和良的面积超过一半,但流域生态环境治理仍需进一步改进;(3)研究区生态环境质量变化受多因子相互作用影响,干度因子与热度因子对生态环境质量空间分布的解释力最大。

     

    Abstract: Investigating the spatial and temporal changes of regional ecological environment quality is helpful to provide guidance and coordination for the protection and improvement of local ecological environment. Based on the Landsat remote sensing data from 2005 to 2020, the spatial and temporal changes and influencing factors of ecological environment quality in Mojiang Hani Autonomous County were explored by using the Remote Sensing Ecological Index (RSEI) and the Geo-detector model. The results showed that: (1) the average values of RSEI in the study area in 2005, 2011, 2015 and 2020 were 0.5689, 0.5824, 0.5866 and 0.5985, respectively, showing an increasing trend year by year. (2) In 2020, more than half of the area in the study area will be rated as excellent and good, but the ecological environment management of the basin still needs further improved. (3) The change of eco-environmental quality in the study area was influenced by multi-factor interaction. The dryness and heat factors had the greatest explanatory power for the spatial distribution of eco-environmental quality.

     

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