Ecological Environmental Dynamic Monitoring and Driving Force Analysis of Yuanmou Dry-hot Valley Based on Remote Sensing Ecological Index

Liang Qiaoling; Shi Zhengtao; Chen Yuehao; He Guangxiong; Shi Liangtao; Li Jie

doi:10.13961/j.cnki.stbctb.20220929.002

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Ecological Environmental Dynamic Monitoring and Driving Force Analysis of Yuanmou Dry-hot Valley Based on Remote Sensing Ecological Index

- Ecological Environmental Dynamic Monitoring and Driving Force Analysis of Yuanmou Dry-hot Valley Based on Remote Sensing Ecological Index
- Bulletin of Soiland Water Conservation Vol. 42, Issue 6, Pages: 146-154(2022)
- 作者机构：
  
  1. 云南师范大学地理学部,云南,昆明,650500
  2. 云南省农业科学院热区生态农业研究所, 云南元谋,651300
  3. 元谋干热河谷植物园, 云南元谋,651300
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.20220929.002
  CLC： {P964};X821
- Published：2022
- 稿件说明：
移动端阅览
Liang Qiaoling, Shi Zhengtao, Chen Yuehao, et al. Ecological Environmental Dynamic Monitoring and Driving Force Analysis of Yuanmou Dry-hot Valley Based on Remote Sensing Ecological Index[J]. Bulletin of Soiland Water Conservation, 2022, 42(6): 146-154.
DOI：

Liang Qiaoling, Shi Zhengtao, Chen Yuehao, et al. Ecological Environmental Dynamic Monitoring and Driving Force Analysis of Yuanmou Dry-hot Valley Based on Remote Sensing Ecological Index[J]. Bulletin of Soiland Water Conservation, 2022, 42(6): 146-154. DOI： 10.13961/j.cnki.stbctb.20220929.002.

摘要

[目的] 探究元谋干热河谷2000-2020年生态环境变化现状，对该区域生态进行动态监测及其驱动力分析，为干热河谷的生态环境保护和可持续发展提供理论依据。[方法] 选取3期Landsat TM/OIL影像数据计算绿度(NDVI)、湿度(WET)、干度(NDBSI)、热度(LST)4个指标来构建遥感生态指数(RSEI)评价体系，并通过地理探测器对影响区域的生态环境因素进行量化分析。 [结果] ①2000，2010和2020年元谋干热河谷的RSEI均值分别为0.628，0.609和0.684，呈先降后升的变化趋势。 ②在2000-2020年这20 a间，区域内生态环境改善面积占29.58%，主要分布河谷两侧；生态恶化面积占21.45%，主要散布在农耕区和居民区周围。 ③对影响元谋干热河谷RSEI的10个因子进行驱动力分析发现，绿度指标和土地利用对RSEI的空间分异特征解释力最强。 [结论] 多因子交互结果显示，元谋干热河谷的生态环境现状是多重因素共同作用的结果，所有因子在交互作用下均有协同增强的作用；绿度指标和土地利用是研究区生态环境质量的主要驱动因子。因此，在探究元谋干热河谷生态环境恢复与保护，应合理规划利用土地资源，落实植被保护及修复政策及措施。

Abstract

[Objective] The current level of ecological environmental change in the Yuanmou dry-hot valley from 2000 to 2020 was determined

and the dynamic monitoring and driving force of the regional ecology were analyzed in order to provide a theoretical basis for ecological environmental protection and sustainable development of the dry-hot valley. [Methods] Three Landsat TM/OIL image datasets were selected to calculate the greenness (NDVI)

humidity (WET)

dryness (NDBSI)

and heat (LST) indexes to construct the remote sensing ecological index (RSEI) evaluation system. The ecological environmental factors affecting the region were quantified and analyzed by geographic detector. [Results] ① The mean values of RSEI in the Yuanmou dry-hot valley in 2000

2010 and 2020 were 0.628

0.609

and 0.684

respectively

showing a trend of initially decreasing and then increasing. ② During the 20-year study period

the area of ecological environmental improvement accounted for 29.58% of the total area

mainly located on both sides of the river valley. The area of ecological deterioration accounted for 21.45% of the total area

and was mainly scattered around agricultural areas and residential areas. ③ The driving force analysis of 10 factors affecting RSEI in the Yuanmou dry-hot valley showed that NDVI and land use had the strongest explanatory power for the spatial differentiation characteristics of RSEI. [Conclusion] The interaction results of multiple factors showed that the ecological environment of the Yuanmou dry-hot valley was the result of multiple factors

and all factors produced synergistic enhancement effects under the interaction. NDVI and land use were the main driving factors of eco-environmental quality in the study area. Therefore

in the exploration of Yuanmou ecological environmental restoration and protection

we should rationally plan and use land resources

and implement vegetation protection and restoration policies and measures.

关键词

Keywords

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