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Land degradation dynamic in the first decade of twenty-first century in the Beijing-Tianjin dust and sandstorm source region

机译:京津沙尘暴沙尘源地区二十世纪前十年的土地退化动态

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摘要

Land degradation dynamic assessment is very important to understand the effectiveness of ecological engineering and provide decision support for future restorations. Taking the Beijing-Tianjin dust and sandstorm source region (BTSSR) as the study area, the land degradation dynamic in the first decade of twenty-first century is assessed by utilizing the time series trends of net primary production (NPP) and modified rain use efficiency (RUE), respectively, and their sensitivities and performances are evaluated through the validation. The results shows that (1) a widespread degradation in the BTSSR is identified from 2000 to 2010, with a proportion of 52.7 % by using NPP, and 65.2 % when using RUE; (2) the proposed RUE is effective in eliminating high correlations between NPP and precipitation, and overcame the problem that the RUE assumption often breaks down at the pixel scale, through incorporating the land degradation assessment division; and (3) the RUE is preferred for land degradation assessment with a higher accuracy (93.5 %), compared with NPP (81 %), which can provide valuable insights into the land degradation assessment in the arid and semi-arid regions.
机译:土地退化动态评估对于了解生态工程的有效性并为未来的恢复提供决策支持非常重要。以京津沙尘暴沙尘源区(BTSSR)为研究区域,利用净初级生产(NPP)和修正雨量利用的时间序列趋势,评估了二十一世纪前十年的土地退化动态。通过验证分别评估了效率(RUE)及其敏感性和性能。结果表明:(1)从2000年到2010年,BTSSR出现了广泛的降解,使用NPP的比例为52.7%,使用RUE的比例为65.2%; (2)拟议的RUE有效消除了NPP与降水之间的高度相关性,并通过纳入土地退化评估部门,克服了RUE假设经常在像素尺度上分解的问题; (3)与NPP(81%)相比,RUE更适合用于土地退化评估,准确性更高(93.5%),这可以为干旱和半干旱地区的土地退化评估提供有价值的见解。

著录项

  • 来源
    《Environmental earth sciences》 |2015年第5期|4317-4325|共9页
  • 作者单位

    Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China;

    Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China|Chinese Acad Forestry, Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China;

    Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China;

    Chinese Acad Forestry, Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China;

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

    Land degradation; NPP and RUE; Sen's slope; Mann-Kendall;

    机译:土地退化;NPP和RUE;Sen坡;Mann-Kendall;

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