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Impacts of climate change and human activities on grassland vegetation variation in the Chinese Loess Plateau

机译:气候变化和人类活动对黄土高原草地植被变化的影响

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摘要

China initiated the "Grain for Green Project" in 1999 to mitigate soil erosion. The vegetation cover of the Chinese Loess Plateau, one of the most erosive regions in the world, has been greatly increased. However, studies on quantitatively investigating the climate change and human activities on vegetation coverage change were rare. In this study, spatio-temporal changes in vegetation coverage were investigated using MODIS normalized difference vegetation index (NDVI) data over 2000-2016. And a new method was introduced using Net Primary Productivity (NPP) model and relationship between NPP and NDVI to quantitatively and spatially distinguish the NDVI affected by climate change and human activities. Results showed that mean NDVI value over 2009-2016 were 14.46% greater than that over 2000-2007. In order to quantify the contribution of climate change and human activities to vegetation change, an NPP model suitable for the grassland of the Chinese Loess Plateau was identified using biomass observations from field survey and literature. The NDVI affected by climate change (NDVIclimate) was estimated by the NPP model and the relationship between NPP and NDVI. And the NDVI affected by human activities (NDVIhuman) was calculated by actual NDVI minus NDVIclimate. Comparison of the two stages showed that human activities and climate change contributed 42.35% and 57.65% respectively to the Delta NDVI on grassland in the Loess Plateau. After analysis of numerous NDVIhuman related factors, the slopes restored by the "Grain for Green Project" was considered the main influence factor of human activities. (c) 2019 Published by Elsevier B.V.
机译:为了减轻水土流失,中国于1999年启动了“绿色粮食计划”。中国黄土高原是世界上侵蚀最严重的地区之一,其植被覆盖率已大大增加。但是,关于气候变化和人类活动对植被覆盖度变化进行定量研究的研究很少。在这项研究中,使用MODIS归一化植被指数(NDVI)的2000-2016年数据调查了植被覆盖的时空变化。并引入了一种新方法,利用净初级生产力(NPP)模型和NPP与NDVI之间的关系来定量和空间区分受气候变化和人类活动影响的NDVI。结果显示,2009-2016年的平均NDVI值比2000-2007年的平均NDVI值高14.44%。为了量化气候变化和人类活动对植被变化的贡献,利用实地调查和文献资料中的生物量观测结果,确定了适合中国黄土高原草地的NPP模型。通过NPP模型以及NPP与NDVI之间的关系来估算受气候变化影响的NDVI(NDVIclimate)。通过实际NDVI减去NDVI气候来计算受人类活动影响的NDVI(NDVI人)。这两个阶段的比较表明,人类活动和气候变化分别对黄土高原草地的Delta NDVI贡献了42.35%和57.65%。在分析了许多与NDVI有关的人为因素之后,“粮食绿色计划”修复的坡度被认为是人类活动的主要影响因素。 (c)2019由Elsevier B.V.发布

著录项

  • 来源
    《The Science of the Total Environment》 |2019年第10期|236-244|共9页
  • 作者单位

    Lanzhou Univ, Sch Life Sci, Inst Arid Agroecol, State Key Lab Grassland Agroecosyst, 222 South Tianshui Rd, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Inst Arid Agroecol, State Key Lab Grassland Agroecosyst, 222 South Tianshui Rd, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Inst Arid Agroecol, State Key Lab Grassland Agroecosyst, 222 South Tianshui Rd, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Inst Arid Agroecol, State Key Lab Grassland Agroecosyst, 222 South Tianshui Rd, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Inst Arid Agroecol, State Key Lab Grassland Agroecosyst, 222 South Tianshui Rd, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Inst Arid Agroecol, State Key Lab Grassland Agroecosyst, 222 South Tianshui Rd, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Inst Arid Agroecol, State Key Lab Grassland Agroecosyst, 222 South Tianshui Rd, Lanzhou 730000, Gansu, Peoples R China;

    Lanzhou Univ, Sch Life Sci, Inst Arid Agroecol, State Key Lab Grassland Agroecosyst, 222 South Tianshui Rd, Lanzhou 730000, Gansu, Peoples R China;

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

    Vegetation change; Climate change; Human activities; Grain for Green Project; Loess Plateau;

    机译:植被变化;气候变化;人类活动;绿化粮食计划;黄土高原;

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