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Spatio-temporal analysis of vegetation variation in the Yellow River Basin

机译:黄河流域植被变化的时空分析。

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摘要

To understand the variation and patterns of vegetation coverage in the Yellow River Basin, as well as to promote regional ecological protection and maintain ecological construction achievements, MOD13Q1 data at a resolution of 250 m were used to calculate the annual average normalised difference vegetation index (NDVI) in a time series from 2000 to 2010. Using a variation coefficient, a Theil-Sen Median trend analysis, the Mann-Kendall test, and the Hurst index method, this study investigated the temporal and spatial variations of vegetation coverage characteristics of the Yellow River Basin. The results showed that (1) the vegetation coverage of the Yellow River appeared to have an overall trend of high in the southeast and west and low in the northwest; (2) the averaged NDVI of the whole basin fluctuated in a range of 0.3 to 0.4 from 2000 to 2010 (from 2000 to 2004 there were larger variations and these have been growing rapidly since 2005); (3) the NDVI was stable, 73.4% of the vegetation-coverage area fluctuated with a low-to-medium amplitude, while 27.6% of the area varied by a large amplitude; (4) the regions with improved vegetation coverage (62.9%) were far greater than the degraded regions (27.7%), while the sustained invariant area accounted for 9.4% of the total vegetation coverage regions; and (5) 86% of the vegetation-covered area was positively sustainable. The areas with sustainable improvement accounted for 53.7% of the total vegetation coverage area; the invariant area accounted for 7.8%. The area with sustainable degradation was 24.5%; the future variation in trends of the residual (14%) could not be determined. Therefore, continuous attention must be given to the variation in trends of vegetation in the sustainably degraded and underdetermined regions.
机译:为了了解黄河流域植被覆盖度的变化和格局,以及促进区域生态保护和维持生态建设成果,使用分辨率为250 m的MOD13Q1数据来计算年平均归一化差异植被指数(NDVI) )在2000年至2010年的时间序列中。使用变异系数,Theil-Sen中位数趋势分析,Mann-Kendall检验和Hurst指数方法,研究了黄河地区植被覆盖特征的时空变化流域。结果表明:(1)黄河植被覆盖度总体呈东南高西低西北的趋势。 (2)从2000年到2010年,整个盆地的平均NDVI在0.3到0.4的范围内波动(2000到2004年有较大的变化,并且自2005年以来一直在迅速增长); (3)NDVI稳定,植被覆盖面积有73.4%以中低幅度波动,而27.6%的植被带以较大幅度变化。 (4)植被覆盖率提高的地区(62.9%)远高于退化地区(27.7%),而持续不变面积占植被总覆盖区的9.4%; (5)86%的植被覆盖区域具有积极可持续性。可持续改善区占植被总面积的53.7%;不变面积占7.8%。可持续退化面积为24.5%;剩余趋势(14%)的未来变化无法确定。因此,必须持续关注在可持续退化和欠定地区的植被趋势变化。

著录项

  • 来源
    《Ecological indicators》 |2015年第4期|117-126|共10页
  • 作者单位

    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China,Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China,Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, No.19 Xinjiekouwai Street, Haidia., China;

    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China,Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China;

    Chinese Research Academy of Environmental Sciences, Beijing 100012, China,Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, No.19 Xinjiekouwai Street, Haidia., China;

    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China,Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China,Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China;

    Satellite Environment Center, Ministry of Environmental Protection, Beijing 100097, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Yellow River Basin; NDVI; Spatial distribution; Variation coefficient; Trend analysis method; Hurst index;

    机译:黄河流域;NDVI;空间分布;变异系数;趋势分析方法;赫斯特指数;

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