Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River
Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River
复制标题
黄河上游流域植被NDVI与气温和降水的关系
DOI：
10.1007/s10666-011-9297-8
复制
发表时间：
2012-08-01
影响因子：
2.4
通讯作者：
Toxopeus, A. G.
中科院分区：
文献类型：
--
作者：
Hao, Fanghua;Zhang, Xuan;Toxopeus, A. G.
黄河上游植被对整个流域的生态稳定至关重要。该地区的主要植被覆盖类型是草地和森林，这对整个流域的生态环境状况有很大的影响。利用中分辨率成像光谱仪产品，计算了2000年、2003年和2006年12天的草地和森林归一化植被指数(NDVI)，并建立了归一化植被指数的日相关模型。分析了年际草地和森林的NDVI值对3个气候指标(年降水量和最高、最低温度)的响应，结果表明，除最低气温外，年降水量和最高气温与这两个植被群落的NDVI值都有密切的相关性。相关系数在0.815~0.951之间(p<； )。此外，还分析了植被NDVI值与月间隔气候指标的相互作用。植被NDVI值与3个气候指数呈显著正相关(均大于0.733，p<； 均为0.01)。月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地，这对植被生长的评估和区域环境管理是必不可少的。
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< 0.01). 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.