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中国天然草地植被生长气象条件评价模型
引用本文:钱拴,毛留喜,张艳红.中国天然草地植被生长气象条件评价模型[J].生态学杂志,2007,26(9):1499-1504.
作者姓名:钱拴  毛留喜  张艳红
作者单位:国家气象中心,北京,100081
基金项目:国家气象中心基金;中国气象局推广项目
摘    要:应用模糊数学方法,构造了影响中国天然草地植被生长的光、温、水函数;通过光、温、水评价结果之间的"与"运算,建立了天然草地植被生长气象条件综合评价模型;采用积分方法,反映草地植被任意时段气象条件的时间累积影响效应;通过气象条件指数的年际对比,评价草地植被生长气象条件的优劣;最后,利用上述模型计算了2005年和2006年中国天然草地植被月、季以及主要生长期气象条件指数,并进行了对比分析、应用和效果检验。结果表明,2年不同时间尺度的气象条件指数对比结果能够客观地反映2006年中国天然草地植被生长气象条件的优劣分布,与实际产草量、株高的对比结果基本一致,应用效果较好。

关 键 词:天然草地植被  气象条件指数  评价模型
文章编号:1000-4890(2007)09-1499-06
修稿时间:2006-12-032007-05-11

Evaluation models of meteorological conditions for vegetation growth on natural grasslands in China
QIAN Shuan,MAO Liu-xi,ZHANG Yan-hong.Evaluation models of meteorological conditions for vegetation growth on natural grasslands in China[J].Chinese Journal of Ecology,2007,26(9):1499-1504.
Authors:QIAN Shuan  MAO Liu-xi  ZHANG Yan-hong
Institution:National Meteorological Center, Beijing 100081, China
Abstract:By using fuzzy mathematics,the functions of sunlight,temperature and precipitation about the vegetation growth on natural grasslands in China were established.Through "and" collection,a comprehensive evaluation model of the meteorological factors was built,and their accumulated effects on the grassland vegetation in any period of time could be known by using integral methods.After comparing the meteorological indices among years,the meteorological conditions for our natural grassland vegetation growth were evaluated.The established models were applied to calculate the meteorological indices by month,season,and main growth periods in 2005 and 2006,and to evaluate the meteorological conditions in these two years for the grassland vegetation growth.The differences of meteorological indices in different time scales reflected the good or bad of the meteorological conditions in 2005 and 2006 for our natural grassland vegetation growth,which was in accordance with the measured differences of grass yield and height.
Keywords:natural grassland vegetation  meteorological condition index  evaluation model
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