高级检索

    基于RSEI模型的滇西北高山峡谷区生态环境质量动态监测及驱动因子分析

    Dynamic monitoring and driving factor analysis for eco-environmental quality in alpine gorges of northwest Yunnan based on a remote sensing ecological index model

    • 摘要: 滇西北高山峡谷区是我国重要的生态保护区,区内城市化进程加快,环境问题日益突出。了解其生态环境质量的时空变化情况,对滇西北高山峡谷区生态环境保护和建设具有重要意义。该文选取1990年、1995年、2001年、2008年、2015年和2022年的Landsat TM/OLI遥感影像计算绿度、湿度、干度和热度4个生态指标,构建遥感生态指数(remote sensing ecological index,RSEI),对滇西北高山峡谷区1990—2022年的生态环境质量进行了评价与监测。结果表明:①1990—2022年研究区RSEI均值呈先下降后上升趋势,1995年达到最低值0.450,随后持续上升,由1995年的0.450增加至2022年的0.604;②研究区生态环境质量等级优和良好的面积占比增加了22.03%,差和较差的占比减少了14.49%,主要以改善为主,改善区域占比高达62.42%,生态差的区域主要集中于农耕区、城镇建设区、金沙江沿岸、低海拔植被稀疏区以及鹤庆县坝子的边坡地区,生态优的区域主要分布在高海拔植被茂盛且人类活动干扰少的山地区域;③土地利用类型是影响研究区生态环境质量变化主要驱动因子,高程(X1)∩土地利用(X6)具有最强交互作用,对研究区的生态环境质量影响最大;④黏土区生态质量以差和较差为主,岩浆岩区生态恶化趋势明显,沉积岩区生态质量显著改善,变质岩与杂岩区则保持相对稳定。

       

      Abstract: The alpine gorges in northwest Yunnan,important ecological reserves in China,are facing increasingly prominent environmental problems due to accelerated urbanization. Insights into the spatiotemporal changes in eco-environmental quality are of great significance for eco-environmental protection and construction in the alpine gorges of Northwest Yunnan. This study selected Landsat TM/OLI remote sensing images from 1990,1995,2001,2008,2015,and 2022 as the data source to extract four ecological indices:normalized difference vegetation Index (NDVI),wetness (WET),normalized difference bare soil index (NDBSI),and land surface temperature (LST). Consequently,a remote sensing ecological index (RSEI) was constructed to assess and monitor the eco-environmental quality of the alpine gorges in northwest Yunnan from 1990 to 2022. The results indicate that from 1990 to 2022,the average RSEI in the study area showed a trend of an initial decline followed by an increase. Specifically,the RSEI reached its lowest value of 0.450 in 1995 and then increased continuously from 0.450 in 1995 to 0.604 in 2022. Over this period,the proportion of areas with excellent and good eco-environmental quality increased by 22.03%,while those classified as poor and very poor eco-environmental quality decreased by 14.49%. These variations were predominantly composed of improvements,covering 62.42% of the study area. Spatially,areas with very poor quality were primarily concentrated in agricultural areas,urban construction land,along the Jinsha River,low-altitude areas with sparse vegetation,and the slopes of landform intermontane basins (Bazi) in Heqing County. In contrast,areas with excellent quality were mainly distributed in high-altitude mountainous regions characterized by lush vegetation and minimal human disturbance. Moreover,the land use type was identified as the main driving factor influencing the eco-environmental quality in the study area. The strongest interaction was observed between elevation (X1) and land use (X6),exerting the greatest impacts on eco-environmental quality in the study area. Besides,areas with clay soils were dominated by poor and very poor quality. The magmatic rock areas displayed a clear trend of ecological deterioration,while the sedimentary rock area presented significant improvements. Conversely,the metamorphic and complex rock areas maintained relative stability.

       

    /

    返回文章
    返回