青海省2000—2024年生态环境质量演变及其驱动因素
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X822

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甘肃海智计划项目“高原寒区流域水文-植被-大气互馈机制研究”(GSHZJH12-2025-04)


Ecological environment quality evolution and its driving factors in Qinghai Province from 2000 to 2024
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    [目的] 系统揭示2000—2024年青海省生态环境质量的时空演变规律及其主要驱动因子,为该区生态保护措施与修复策略的制定提供科学依据。[方法] 基于中分辨率成像光谱仪(MODIS)遥感数据,在遥感生态指数(RSEI)基础上引入盐分指标(SI3),并采用全时序归一化方法,构建适用于青海省的改进型遥感生态指数(mRSEI)。以生态功能分区为分析单元,结合地理探测器和趋势分析法等方法开展研究。[结果] ①2000—2024年青海省生态环境质量整体呈缓慢上升趋势,平均增幅为0.025/10 a。除藏北高原高寒荒漠草原生态区外,各生态功能区mRSEI均值均有不同程度提升; ②青海省整体生态环境质量处于中等水平(mRSEI=0.45),不同生态区域存在明显差异。其中,祁连山森林与高寒草原生态区生态质量较优(mRSEI=0.60),而柴达木盆地荒漠生态区生态状况较差(mRSEI=0.22); ③不同生态分区生态环境质量的驱动因子存在明显差异,如祁连山森林与高寒草原生态区的主要驱动因子为总初级生产力(q=0.61)、土壤水分(q=0.51)和年降雨量(q=0.44),而藏北高原高寒荒漠草原生态区主要受土壤水分(q=0.59)驱动。[结论] 总体来看,青海省生态环境呈改善趋势,但不同生态功能区的生态状况与驱动机制差异显著。

    Abstract:

    [Objective] The spatiotemporal evolution patterns of ecological environment quality and its main driving factors in Qinghai Province from 2000 to 2024 were systematically revealed, in order to provide a scientific basis for the formulation of ecological protection measures and restoration strategies in this region. [Methods] Based on moderate resolution imaging spectroradiometer (MODIS) remote sensing data, the salinity index (SI3) was incorporated into the remote sensing ecological index (RSEI), and a modified remote sensing ecological index (mRSEI) was then constructed using a full time-series normalization method. Ecological function zones were used as the analysis units, and methods such as the Geodetector and trend analysis were employed. [Results] ① From 2000 to 2024, the overall ecological environment quality of Qinghai Province showed a slow upward trend, with an average increase of 0.025/10 a. Except for the alpine desert grassland ecological zone in the northern Tibetan Plateau, the average mRSEI values of all ecological function zones increased to varying degrees. ② The overall ecological environment quality of Qinghai Province was at a medium level (mRSEI=0.45), with significant differences observed among different ecological zones. Among them, the forest and alpine grassland ecological zones in Qilian Mountains exhibited relatively better ecological quality (mRSEI=0.60), whereas the desert ecological zone of the Qaidam Basin showed poor ecological conditions (mRSEI=0.22). ③ The driving factors of ecological environment quality differed significantly across different ecological zones. For example, the main driving factors of forest and alpine grassland ecological zones in Qilian Mountains were gross primary productivity (q=0.61), soil moisture (q=0.51), and annual precipitation (q=0.44), while the alpine desert grassland ecological zone in northern Tibetan Plateau was mainly driven by soil moisture (q=0.59). [Conclusion] In general, the ecological environment of Qinghai Province shows an improving trend, however the ecological conditions and driving mechanisms differ significantly across different ecological function zones.

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聂学敏,王禄,马艳丽,马超,鲁子豫,李龙,常秀红.青海省2000—2024年生态环境质量演变及其驱动因素[J].水土保持通报,2026,46(1):366-377

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  • 收稿日期:2025-07-29
  • 最后修改日期:2025-10-09
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  • 在线发布日期: 2026-04-01
  • 出版日期: 2026-02-15