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    基于SRP模型的黄河中上游流域生态脆弱性时空分异及主控因素分析

    Spatio-temporal differentiation and dominant controlling factors of ecological vulnerability in the middle and upper reaches of the Yellow River Basin based on the SRP model

    • 摘要:
      研究目的 监测黄河中上游流域生态脆弱性时空间分布特征,评价生态环境变化状况,揭示影响生态脆弱性变化的主控因子,为流域生态脆弱区域治理提供依据。
      研究方法 以黄河中上游流域为研究区,综合利用DEM数据、气象数据、社经济会数据、遥感数据和土地利用数据(CLCD)等,选取了9个评价指标,涵盖地形、气象、社会、植被等多个方面,采用SRP模型(生态敏感性—生态恢复力—生态压力度)构建生态脆弱性评价体系,利用熵权法和AHP层次分析法综合确定指标权重,对黄河中上游流域2000年、2005年、2010年、2015年和2020年五个时期的生态脆弱性进行了综合评价,研究其时空动态分布特征,并利用地理探测器对主控因素进行探测分析。
      研究结果 (1)在空间分布上,微度、轻度脆弱指数主要分布于中高海拔山地一带,以林地为主,中度脆弱指数主要分布于中海拔黄土塬、中低起伏山地丘陵、台地地貌,以灌草、耕地为主,重度、极度脆弱指数主要分布于毛乌素沙漠地带,为未开发利用地;(2)从因子分析探测结果来看,对黄河中上游流域生态脆弱性影响最大的五个因子依次为归一化植被指数NDVI、年均降水、土地类型、年均气温和高程;(3)2000至2020年,生态脆弱性逐步得到改善,效果较为明显,其中重度、极度脆弱比例由39.43%下降至18.32%;结合地貌来看,中海拔黄土塬、中海拔山地和中海拔风积地貌是区域生态环境改善面积占比靠前的三类地貌。
      结论 研究区生态脆弱性分布均呈现东南西南低、中部西北高的空间分布格局,整体上呈中度脆弱性,生态环境呈向好趋势,这与经济反补生态密切相关。

       

      Abstract:
      This paper is the result of ecological geological survey engineering.
      Objective To monitor the spatiotemporal distribution characteristics of ecological vulnerability in the middle and upper reaches of the Yellow River Basin, evaluate the status of ecological environment changes, reveal the dominant driving factors underlying variations in ecological vulnerability, and provide a scientific basis for the governance of ecologically fragile areas in the basin.
      Methods Taking the middle and upper reaches of the Yellow River Basin as the study area, a comprehensive analysis was conducted using multi-source data including DEM, meteorological data, socio-economic data, remote sensing data, and land use data (CLCD). Nine evaluation indicators were selected, covering topography, meteorology, society, vegetation, and other dimensions. An ecological vulnerability assessment system was established based on the SRP model (Ecological Sensitivity-Ecological Resilience-Ecological Pressure). The indicator weights were determined comprehensively using the entropy weight method and AHP (Analytic Hierarchy Process). Ecological vulnerability was comprehensively evaluated for five periods: 2000, 2005, 2010, 2015, and 2020, to examine its spatiotemporal dynamic characteristics. Furthermore, the dominant influencing factors were identified and analyzed via the Geodetector model.
      Results (1) Spatially, slight and low ecological vulnerability was mainly distributed in middle-to-high altitude mountainous areas dominated by forest land; moderate ecological vulnerability was concentrated in middle-altitude loess tablelands, medium-low relief mountainous hills and terraces, covered mainly by shrub-grass vegetation and farmland; high and extremely high ecological vulnerability was primarily distributed in the Mu Us Sandy Land, characterized by unused land. (2) According to factor detection results, the top five factors influencing ecological vulnerability in the study area, in descending order of significance, were Normalized Difference Vegetation Index (NDVI), annual average precipitation, land use type, annual average temperature, and elevation. (3) From 2000 to 2020, ecological vulnerability improved gradually and significantly, with the proportion of high and extremely high vulnerability areas decreasing from 39.43% to 18.32%. In terms of geomorphology, middle-altitude loess tablelands, middle-altitude mountains, and middle-altitude aeolian landforms ranked the top three geomorphic types in terms of the proportion of improved ecological environment area.
      Conclusions Ecological vulnerability in the study area exhibits a distinct spatial pattern of low vulnerability in the southeast and southwest and high vulnerability in the central and northwest regions. The overall ecological vulnerability is at a moderate level, and the ecological environment shows an improving trend, which is closely related to ecological restoration supported by socio-economic development.

       

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