基于改进遥感生态指数的吐鲁番-哈密地区生态环境质量评价及驱动机制分析
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第三次新疆综合科学考察项目资助(2022xjkk1201)


Evaluation of ecological environment quality and analysis of drivingmechanism in Tulufan-Hami region based on improved remote sensing ecological indices
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the Third Xinjiang Scientific Expedition Program (Grant No.2022xjkk1200)

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    摘要:

    吐鲁番市和哈密市是我国盐渍化危害最严重的地区之一,明晰其生态环境变化趋势和驱动机制对吐鲁番-哈密地区生态文明建设具有重要意义。基于Google earth engine(GEE)平台,筛选2005-2020年6-9月Landsat影像,选取绿度(SVAI)、湿度(Wet)、热度(LST)、干度(NDBSI)和盐度(NDSI)构建改进型遥感生态指数(SRSEI)对吐鲁番-哈密地区生态环境进行评估。结果表明:(1) SRSEI使用SAVI代替NDVI并加入盐度指标(NDSI),与RSEI相比有着更高的第一主成分贡献率,能更全面客观地评价吐鲁番-哈密地区生态环境质量。(2) 时间尺度上,2005-2020年吐鲁番-哈密地区SRSEI先下降后上升,均值0.49,并在2020年均值达到0.5575,较差和良的面积占比变化显著,较差占比减少了11.54%,良占比增加了30.15%。且未来生态环境变化趋势还将以改善为主; 空间尺度上,北部西山台原和中部莫钦乌拉山生态质量多为优和良,较差区域主要集中在南部噶顺戈壁。(3) 年均降水量、年均气温和经济生产总值是驱动SRSEI变化的主要控制因子,q值均大于0.092;与单因子对生态环境影响力相比,双因子交互产生的影响力更强,年均降水量∩经济生产总值是驱动吐鲁番-哈密地区生态环境发生变化的最强交互因子。

    Abstract:

    Turpan and Hami cities are one of the most serious salinization hazardous areas in China, and clarifying their ecological change and driving mechanisms is of great significance to the ecological environmental protection of Turpan-Hami region. Based on the Google earth engine (GEE) platform, the Landsat images were screened from June to September in 2005-2020, and Construction of an Improved Remote Sensing Ecological Index (SRSEI) to Assess the Ecological Environment of Turpan-Hami Area based on the greenness (SVAI), humidity (Wet), heat (LST), dryness (NDBSI), and salinity (NDSI). The results show that: (1) SRSEI used SAVI instead of NDVI and added the salinity indicator (NDSI), Compared with RSEI, it has a higher contribution rate of the first principal component, which can evaluate the ecological environment quality of Turpan-Hami area more comprehensively and objectively.(2) On the time scale, the SRSEI in Turpan-Hami region decreased and then increased from 2005 to 2020 and the average value reached 0.5575 in 2020. The proportion of mediocre and favorable areas changed significantly, with the proportion of mediocre areas decreased by 11.54% and the proportion of favorable areas increased by 30.15%. The future trend of ecological environment change would also be dominated by improvement. On the spatial scale, the ecological quality of the Western mountain mesa plain and the central Mochinula mountains was mostly excellent and favorable.The mediocre areas were mainly concentrated in the southern Kashun Gobi.(3) Mean annual precipitation, mean annual temperature and gross domestic product were the main controls driving changes in the SRSEI, with q-values greater than 0.092.Compared with the influence of a single factor on the ecological environment, the two-factor interaction produces a stronger influence, and the average annual precipitation ∩ GDP is the strongest interaction factor driving the ecological environment changes in the Turpan-Hami region.

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傅楷翔,贾国栋,余新晓,陈立欣.基于改进遥感生态指数的吐鲁番-哈密地区生态环境质量评价及驱动机制分析.生态学报,2024,44(9):3911~3923

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