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The Relationship of Vegetation Greenness Period and Climate Precipitation Change in the North-South Transect of Eastern China

机译:植被绿色时期与气候降水变化的关系在中国东部南方横断区

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In order to explore additional distribution patterns of global change to terrestrial ecosystems, phenology refers to seasonal biological life stages driven by environmental factors, and is considered to be a sensitive and precise indicator of climate change. Therefore, the author developed a 'bottom-up' method for first determining the phenological growing season at sample stations, and based on NOAA/AVVHRR, meteorological data, ground phonology observation data, vegetation category data, and so on. The author built a Logistic fitting model on cumulative frequency of NDVI to determine length of greenness period since 1982, then analyzed correlation between NDVI and precipitation, primarily revealed the dynamic mechanism of climate on vegetation. The spatial pattern of average turning green and wilting dates of the growing season correlated significantly with the spatial pattern of average temperatures in spring and winter across the north south transect of eastern China during 1982 to 2003; the growing season extended on average by 5 to 8 days. Temperate desert regions had the trend of increase of desertification.
机译:为了探讨全球变化的额外分布模式对地面生态系统,候选是指由环境因素驱动的季节性生物生命阶段,被认为是气候变化的敏感和精确的指标。因此,作者开发了一种“自下而上”方法,首先确定样品站的酚类生长季节,并基于NOAA / AVVHRR,气象数据,地理学观察数据,植被类别数据等。作者建立了累积频率的Logistic拟合模型,以确定自1982年以来的绿色周期长度,然后分析了NDVI与降水之间的相关性,主要揭示了气候对植被的动态机制。在中国东部南部1982年至2003年期间,日益增长的季节平均变动绿色和衰落日期的平均绿色和衰竭日期与春季南部南部横跨2003年南部横跨的平均温度的空间模式显着相关;生长季节平均延长5至8天。温带沙漠地区具有荒漠化增加的趋势。

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