化德县牧草高度与气象因子灰关联分析

Grey Relational Analysis between Pasture Height and Meteorological Elements in Huade County

利用化德国家基本气象站生态观测的2004—2015年6月羊草和针茅牧草绝对高度资料与2015年4—6月气象要素观测资料,采用灰色关联计算方法 ,分别计算了羊草和针茅高度与21个气象因子的关联度。结果表明:21个因子对羊草和针茅高度的影响非常明显,其中,4月的气温是影响6月羊草高度的首要因子,而6月的降水量对针茅高度的影响最大。

Based on the height data of Leymus Chinensis and Stipa capillata in June and meteorological observation elements data in April, May and June from 2004 to 2015 in Huade state basic meteorological station, correlation degree between the height data of Leymus Chinensis and Stipa capillata and 21 meteorological factors was calculated respectively by the means of grey correlation. The results showed that the effects of 21 meteorological factors on the heights of Leymus Chinensis and Stipa capillata were very obvious. Temperature in April was the primary factor influencing height of Leymus Chinensis and precipitation in June was the first important factor for Stipa capillata.