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    2000—2022年天山生态环境质量时空变化和驱动力分析

    Spatiotemporal dynamics of the ecological condition and the associated affecting factors based on mRSEI in the Tianshan Mountains from 2000 to 2022

      摘要
    • 摘要:
      研究目的 遥感生态指数(Remote Sensing Ecological Index, RSEI)是反映生态环境质量的重要指标，天山地区生态环境脆弱，盐渍化问题突出，改进的遥感生态指数(mRSEI)可以反映西北干旱区特性，更加精确地表现西北干旱区的生态环境质量。
      研究方法 为了准确识别天山地区的生态环境质量，基于mRSEI时空变化、驱动因子及其对驱动因子的响应，探究了2000—2022年天山地区的生态环境质量；使用自然断点法和等间隔分级法评价了具体因子不同等级区间的生态环境质量；使用变异系数及Hurst指数，探究了天山mRSEI波动趋势及未来波动模式；使用地理探测器(GeoDetector, GD)和随机森林(Random forest, RF)模型，识别了天山地区mRSEI变化的主导因子。
      研究结果 2000—2022年天山地区mRSEI在时间上呈无规则波动的缓慢增长趋势，空间上呈“西高东低、北高南低”的分布格局，未来mRSEI难以预测；天山地区人类活动因子对mRSEI的响应基本上呈线性相关；蒸散发、温度、坡度和DEM是影响该区域mRSEI的主要因子，mRSEI对不同因子的响应趋势不同。
      结论 利用mRSEI能够科学地监测位于西北干旱区的天山地区生态环境质量空间分布，准确把握生态环境质量变化趋势，为天山地区生态保护提供理论支持。

       

      Abstract:
      This paper presents the research outcomes from the eco−geological survey project.
      Objective The Remote Sensing Ecological Index (RSEI) is a crucial indicator reflecting ecological environment quality. The Tianshan region features fragile ecosystems and prominent salinization issues. The modified Remote Sensing Ecological Index (mRSEI) can characterize the specific attributes of the arid Northwest China region, providing a more precise representation of its ecological environment quality.
      Methods Situated in the arid Northwest China, the Tianshan region was studied to accurately assess its ecological quality. This research investigated the ecological environment quality of the Tianshan region from 2000 to 2022 based on the spatiotemporal changes in mRSEI, its driving factors, and its response to these drivers. The natural breaks classification method and grading were employed to evaluate ecological quality within different intervals of specific factors. The coefficient of variation and the Hurst index were utilized to examine the fluctuation trends of Tianshan's mRSEI and predict its future fluctuation patterns. GeoDetector (GD) and the Random Forest (RF) model were applied to identify the dominant factors influencing changes in the Tianshan region's mRSEI.
      Results From 2000 to 2022, the mRSEI in the Tianshan region exhibited a slow increase with irregular fluctuations over time. Spatially, it displayed a distribution pattern characterized as "higher in the west than in the east, and higher in the north than in the south". Predicting future mRSEI trends proved challenging. The responses of mRSEI to human activity factors in the Tianshan region were primarily linear. Evapotranspiration, temperature, slope, and DEM were identified as the primary factors influencing regional mRSEI; however, the response trends of mRSEI varied for different factors.
      Conclusions The mRSEI enables the scientific monitoring of the spatial distribution of ecological environment quality in the Tianshan region, located within the arid Northwest China. It facilitates an accurate grasp of ecological quality change trends and can provide theoretical support for ecological conservation efforts in the Tianshan region.

       

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