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    2000—2020年黄河流域土地利用/覆盖动态特征及归因

    Spatiotemporal dynamic characteristics and driving factors of land use/cover changes in Yellow River Basin from 2000 to 2020

    • 摘要:
      目的 黄河流域作为中国的重要生态屏障和经济带,明确其土地利用/覆盖(land use/cover change,LUCC)变化特征及归因可为黄河流域生态建设、水土流失治理与高质量发展提供依据。
      方法 本研究基于2000—2020年的土地利用、气候、地形和人为活动数据,利用土地利用转移矩阵、土地利用动态度及空间分析方法分析黄河流域土地利用时空格局变化特征,并基于最优参数地理探测器进一步分析自然及人为活动等因素对土地利用变化的影响。
      结果 1)2000—2020年黄河流域土地利用/覆盖类型以草地为主,占流域总面积50.46%~53.35%。不同土地利用/覆盖类型中,森林、不透水面面积比例分别增加0.58%和0.52%,农田、裸地持续减少,面积比例分别下降1.02%和0.66%,冰雪、水域、湿地整体变化不大。2)农田和草地之间的相互转移为主要的转移类型,主要分布于流域中部。湿地、不透水面和裸地变化幅度最大。2000—2005年土地利用变化幅度最大,综合动态度为0.39%,2010—2015年变化幅度最小,综合动态度为0.15%。3)GDP、气温及高程主导黄河流域的土地利用/覆盖分布格局,年均 q值分别为0.169、0.151和0.137。
      结论 交互因子探测结果表明,不同因子交互作用中,降雨和高程的交互作用主要解释土地利用/覆盖空间的空间分布,q值最大为0.326。近20年来,黄河流域土地利用/覆盖经历显著变化。自然地理条件及其交互作用奠定黄河流域土地覆被的总体空间格局,而人类活动则是引发局部地类演变的核心驱动力。本研究可为黄河流域土地资源管理及高质量发展提供科学参考。

       

      Abstract:
      Objective The Yellow River Basin is an important ecological barrier and economic zone in China, and a clear understanding of its land use/cover change (LUCC) characteristics and underlying drivers is required to provide a basis for ecological construction, soil erosion control, and high-quality development.
      Methods Based on the data of land use, climate, topography, and anthropogenic activities from 2000 to 2020, this study analyzed the spatiotemporal patterns of land use changes in the Yellow River Basin by using the land use transfer matrix, land use dynamics, and spatial analysis methods. It further analyzed the impacts of natural and anthropogenic factors on land use changes based on the optimal parameters-based geodetector (OPGD).
      Results 1) From 2000 to 2020, the dominant land use/cover type in the Yellow River Basin was grassland, accounting for 50.46% to 53.35% of the total area. Among different land use/cover types, the area proportion of forest and impervious surfaces increased by 0.58% and 0.52%, respectively, while the area of cropland and bare land continued to decrease, with proportions dropping by 1.02% and 0.66%, respectively. The changes in snow and ice, water bodies, and wetlands were relatively small. 2) The main land use transition occurred between cropland and grassland, primarily in the central region of the basin. The changes in wetlands, impervious surfaces, and bare land were the largest. The land use change was most significant from 2000 to 2005, with a comprehensive dynamic index of 0.39%, and least significant from 2010 to 2015, with a comprehensive dynamic index of 0.15%. 3) GDP, temperature, and elevation were the primary drivers of the LUCC distribution in the Yellow River Basin, with average q-values of 0.169, 0.151, and 0.137, respectively. The interaction analysis between different factors showed that precipitation and elevation best explained the spatial distribution of LUCC, with the highest q-value of 0.326.
      Conclusions The interaction analysis between different factors shows that precipitation and elevation mainly explain the spatial distribution of LUCC, with the highest q-value of 0.326. Over the past 20 years, the Yellow River Basin has experienced substantial LUCC dynamics. The overarching spatial pattern of land cover is primarily governed by natural geographic conditions and their interactions, whereas anthropogenic activities act as the principal drivers behind localized land cover changes. This study provides scientific references for land resource management and high-quality development in the Yellow River Basin.

       

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