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Interannual variation in riparian vegetation cover and its relationship with river flow under a high level of human intervention: an example from the Yongding River Basin

机译:河岸植被覆盖的持续变化及其与河流在高水平的人力干预下的关系:永定河流域的一个例子

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摘要

Riparian vegetation cover is significantly affected by a river’s hydrological conditions. Especially in arid and semiarid areas, low flow will degrade riparian vegetation, and recent, intensive human activities in the Yongding River Basin have caused a sharp decrease in river flow. We analyzed interannual change in riparian vegetation, river flow effects, and land use on vegetation coverage using the 40 years (1977–2016) of remote sensing images and river flow, combined with 38 years (1980–2018) of land use data. The normalized difference vegetation index (NDVI) was used to determine vegetation cover in five different categories: extremely low, low, medium, high, and extremely high based on the pixel dichotomy model. The weighted average was calculated to obtain vegetation cover trends. We show that riparian vegetation cover from four rivers increased. Compared with 1977, in 2016, combined high and extremely high vegetation covers at the Dongyang, Yang, Sanggan, and Yongding Rivers increased by 20.3%, 26.7%, 50.0%, and 39.2%, respectively. High (R =  −0.976, P < 0.01) and extremely high (R =  −0.762, P < 0.05) vegetation covers are negatively correlated with flow in the Yongding River. The high vegetation cover of the Sanggan River riparian zone is negatively correlated with river flow (R =  −0.683, P < 0.05). In the Dongyang and Sanggan Rivers, land use analysis in the riparian zone showed that change in cultivated land, grassland, and forest were significantly correlated with high and extremely high vegetation cover. The abundant cultivated land and restoration activities are likely responsible for the increase of riparian vegetation cover as river flows decline.
机译:河岸植被覆盖率受到河流水文条件的显着影响。特别是在干旱和半干旱地区,低流量将降低河岸植被,近期,永定河流域的密集型人类活动导致河流急剧下降。通过40年(1977-2016),在遥感图像和河流流量的40年(1980-2018)的土地利用数据中,我们分析了河​​岸植被,河流效果和植被覆盖的土地利用的终际变化。归一化差异植被指数(NDVI)用于确定五种不同类别的植被覆盖:基于像素二分形式模型的极低,低,培养基,高,极高,非常高。计算加权平均值以获得植被覆盖趋势。我们展示了来自四个河流的河岸植被覆盖。与1977年相比,2016年,东阳,杨,桑根和永定河流覆盖的高和极其高的植被覆盖分别增加了20.3%,26.7%,50.0%和39.2%。高(r = -0.976,p <0.01)和极高(r = -0.762,p <0.05)植被覆盖物与永定河流的流动呈负相关。桑甘河河堤区的高植被覆盖与河流(r = -0.683,p <0.05)负相关。在东阳和桑甘河,河岸地区的土地利用分析表明,耕地,草原和森林的变化与高和极高的植被覆盖有明显相关。随着河流流量下降,丰富的耕地和恢复活动可能负责河流植被覆盖的增加。

著录项

  • 来源
    《Environmental Monitoring and Assessment》 |2021年第7期|406.1-406.13|共13页
  • 作者单位

    College of Water Sciences Beijing Normal University Beijing 100875 China;

    College of Water Sciences Beijing Normal University Beijing 100875 China;

    Department of Geography and Planning University of Saskatchewan Saskatoon SK S7N 5C8 Canada;

    College of Water Sciences Beijing Normal University Beijing 100875 China;

    College of Water Sciences Beijing Normal University Beijing 100875 China;

    College of Water Sciences Beijing Normal University Beijing 100875 China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Riparian zone; Remote sensing; NDVI; Pixel dichotomy model; Land use;

    机译:河岸区;遥感;NDVI;像素二分形式模型;土地使用;
  • 入库时间 2022-08-19 03:20:54

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