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Impact of variations in vegetation on surface air temperature change over the Chinese Loess Plateau

机译:黄土高原地区植被变化对地表气温变化的影响

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摘要

Studying the drivers and combating the effects of climate change is more urgent than ever, particularly in regions with limited water and sensitive ecosystems. This study evaluated the effect of vegetation variation on surface air temperature (SAT) change in the Chinese Loess Plateau over 1982-2015 based on the 'observation minus reanal-ysis' (OMR) method. Observed temperature, ERA-lnterim reanalysis temperature, and Global Inventory Modeling and Mapping Studies normalized difference vegetation index (NDVI) 3rd generation were used to analyze the relationship between OMR temperature (representing vegetation impact on SAT) and NDVI. Results showed that the Loess Plateau, especially its central-east areas, has undergone a rapid increase in NDVI and rapid decrease in OMR temperature during 1982-2015. This implies a strong cooling effect of vegetation restoration on SAT change. The mean annual NDVI (M_NDVI) and NDVI trend (SlopeNDVI) were negatively correlated with OMR temperature trend (Slope_OMR.) on the Loess Plateau (P< 0.001). However, the relationships between M_NDVI (S/ope_NDVI) and Slope_OMR varied among the arid, semi-arid, and semi-humid regions. As a result, the impacts of restoration of vegetation condition on SAT change during 1982-2015 were estimated to be 0.04, -0.01, and -0.07 ℃ decade-1 in the arid, semi-arid, and semi-humid regions, respectively. For the entire Loess Plateau, the restoration of its vegetation condition led to a cooling effect of -0.02 ℃ decade~-1 during 1982-2015 and a cooling effect of -0.05 ℃ in the period following the implementation of the Grain for Green Project (GGP). Moreover, among the three major land use types of the Loess Plateau (i.e., grassland, farmland, and forest), vegetation restoration of forest demonstrated the most obvious cooling effect (-0.06 ℃ decade~-1 during 1982-2015). These results are the first quantitative estimation of the impact of vegetation variation on SAT across the entire Loess Plateau, and demonstrate the ecological effect of afforestation efforts in the southeastern areas in terms of climate warming alleviation.
机译:研究驱动因素和应对气候变化的影响比以往任何时候都更加紧迫,尤其是在水和生态系统敏感的地区。本研究基于“观测减去再分析”(OMR)方法,评估了1982-2015年黄土高原地区植被变化对地表气温(SAT)变化的影响。观测温度,ERA中间重新分析温度以及全球清单建模和制图研究使用第三代归一化植被指数(NDVI)来分析OMR温度(代表植被对SAT的影响)和NDVI之间的关系。结果表明,黄土高原,特别是其中东部地区,在1982-2015年期间NDVI迅速升高,OMR温度迅速降低。这意味着植被恢复对SAT变化的强烈冷却作用。黄土高原地区的年均NDVI(M_NDVI)和NDVI趋势(SlopeNDVI)与OMR温度趋势(Slope_OMR。)呈负相关(P <0.001)。但是,在干旱,半干旱和半潮湿的地区,M_NDVI(S / ope_NDVI)和Slope_OMR之间的关系有所不同。结果,在干旱,半干旱和半湿润地区,1982-2015年植被状况的恢复对SAT变化的影响估计分别为0.04,-0.01和-0.07℃October-1。在整个黄土高原地区,其植被状况的恢复导致在1982-2015年间降温效果为-0.02℃October〜-1,在实施“退耕还林工程”后的一段时间内降温效果为-0.05℃( GGP)。此外,在黄土高原的三种主要土地利用类型(即草地,农田和森林)中,森林的植被恢复表现出最明显的降温效果(1982-2015年为-0.06℃October〜-1)。这些结果是对整个黄土高原地区植被变化对SAT的影响的定量评估,并从缓解气候变暖的角度证明了东南地区造林工作的生态效应。

著录项

  • 来源
    《The Science of the Total Environment》 |2020年第may10期|136967.1-136967.9|共9页
  • 作者单位

    Qingdao Engineering Research Center for Rural Environment College of Resources and Environment Qingdao Agricultural University Qingdao 266109 Shandong PR China Institute of Soil and Water Conservation Northwest A&F University Yangling 712100 Shaanxi PR China;

    Institute of Soil and Water Conservation Northwest A&F University Yangling 712100 Shaanxi PR China Institute of Soil and Water Conservation Chinese Academy of Sciences and Ministry of Water Resources Yangling 712100 Shaanxi PR China University of Chinese Academy of Sciences Beijing 100049 PR China;

    Qingdao Engineering Research Center for Rural Environment College of Resources and Environment Qingdao Agricultural University Qingdao 266109 Shandong PR China;

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

    Vegetation cover; Temperature change; Normalized difference vegetation index; 'Observation minus reanalysis' method; Loess Plateau;

    机译:植被覆盖;温度变化;归一化植被指数“观察减去再分析”方法;黄土高原;

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