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Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River

机译:黄河上游流域植被NDVI与温度和降水的关系

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摘要

Vegetation in the upper catchment of Yellow River is critical for the ecological stability of the whole watershed. The dominant vegetation cover types in this region are grassland and forest, which can strongly influence the eco-environmental status of the whole watershed. The normalized difference vegetation index (NDVI) for grassland and forest has been calculated and its daily correlation models were deduced by Moderate Resolution Imaging Spectroradiometer products on 12 dates in 2000, 2003, and 2006. The responses of the NDVI values with the inter-annual grassland and forest to three climatic indices (i.e., yearly precipitation and highest and lowest temperature) were analyzed showing that, except for the lowest temperature, the yearly precipitation and highest temperature had close correlations with the NDVI values of the two vegetation communities. The value of correlation coefficients ranged from 0.815 to 0.951 (p<0.01). Furthermore, the interactions of NDVI values of vegetation with the climatic indicators at monthly interval were analyzed. The NDVI of vegetation and three climatic indices had strong positive correlations (larger than 0.733, p<0.0l). The monthly correlations also provided the threshold values for the three climatic indictors, to be used for simulating vegetation growth grassland under different climate features, which is essential for the assessment of the vegetation growth and for regional environmental management.
机译:黄河上游流域的植被对于整个流域的生态稳定性至关重要。该地区主要的植被覆盖类型是草地和森林,可以强烈影响整个流域的生态环境状况。计算了草地和森林的归一化植被指数(NDVI),并通过中分辨率成像光谱仪产品在2000年,2003年和2006年的12个日期推导出了其日相关模型。NDVI值与年际之间的响应对草地和森林的三个气候指数(即年降水量和最高和最低温度)进行了分析,结果表明,除最低温度外,年降水量和最高温度与两个植被群落的NDVI值密切相关。相关系数的值在0.815至0.951之间(p <0.01)。此外,还分析了植被NDVI值与气候指标在每月间隔的相互作用。植被的NDVI和三个气候指数具有很强的正相关关系(大于0.733,p <0.0l)。每月的相关性还提供了三个气候指标的阈值,用于模拟不同气候特征下的植被生长草原,这对于评估植被生长和区域环境管理至关重要。

著录项

  • 来源
    《Environmental Modeling & Assessment》 |2012年第4期|p.389-398|共10页
  • 作者单位

    School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China;

    School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China;

    School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China;

    Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Hengelosestraat 99, P.O. Box 6, Enschede 7500 AA, The Netherlands;

    Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Hengelosestraat 99, P.O. Box 6, Enschede 7500 AA, The Netherlands;

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

    vegetation dynamics; correlation analysis; MODIS; climatic feature; yellow river;

    机译:植被动态;相关分析;MODIS;气候特征黄河;

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