文献类型：期刊文献

中文题名：云南松的地理分布与气候关系

英文题名：Relationship between Geographical Distribution of Pinus yunnanensis and Climate

作者：陈飞[1,2] 王健敏[1,2] 孙宝刚[1,2] 陈晓鸣[1,2] 杨子祥[1,2] 段兆尧[3]

第一作者：陈飞

机构：[1]中国林业科学研究院资源昆虫研究所,云南昆明650224;[2]国家林业局资源昆虫培育与利用重点实验室,云南昆明650224;[3]云南省林业科学研究院,云南昆明650204

年份：2012

卷号：25

期号：2

起止页码：163-168

中文期刊名：林业科学研究

外文期刊名：Forest Research

收录：CSTPCD;;Scopus;北大核心:【北大核心2011】；CSCD:【CSCD2011_2012】；

基金：国家林业局948项目(2009-4-37);国家林业局林业公益性行业专项(200904052;200804001)

语种：中文

中文关键词：云南松;地理分布;气候指标

外文关键词：Pinus yunnanensis; geographical distribution; climatic index

分类号：S791.257

摘要：广泛收集云南松地理分布资料,应用地理信息系统ArcGIS,制作云南松物种的分布现状图,并根据ClimateChina预测模型确定云南松分布区间的气候参数,利用Kira的温暖指数(WI)、寒冷指数(CI)、干燥度指数(K)、徐文铎湿度指数(HI)、holdridge生物温度(BT)、可能蒸散量(PET)、可能蒸散率(PER)以及单一气候因子如年平均气温(MAT)、1月平均气温(TAV01)、7月平均气温(TAV07)、年降水量(MAP)、>5℃积温(DD5)、>18℃积温(DD18)、极端最高气温(MWMT)、极端最低气温(MCMT)、气温年较差(TD)、年热湿比(AHM)等指标,研究云南松的地理分布与气候关系,讨论了云南松垂直分布上下限以及北界的热量状况。主成分分析结果表明:影响云南松地理分布的主要因素依次为:温度、湿度、气温年较差。
A distribution map of Pinus yunnanensis was made according to the data on geographical distribution of P.yunnanensis by means of applying geographic information systems software ArcGIS,and the climatic parameters of the distribution areas for P.yunnanensis were determined by the climate forecast model ClimateChina.The relationship between the geographical distribution of P.yunnanensis and the climate was studied by adopting the indexes of Kira including the warmth index（WI）,coldness index（CI） and aridity index（K）,Xu＇s humidity index（HI）,Holdridge＇s life temperature（BT）,potential evapotranspiration（PET）,potential evapotranspiration ratio（PER） and the single factors as the mean annual temperature,the mean temperature in January,the mean temperature in July,the mean annual precipitation,the 〉5 ℃ accumulated temperature,the〉 18 ℃ accumulated temperature,the maximum temperature,the minimum temperature,the temperature variation,the ratio of temperature and precipitation of the year,etc.And the Kira＇s water-temperature indexes on distributional upper limit,low limit and north limit were discussed.The major climatic factors effecting the distribution of P.yunnanensis were screened out by statistical analysis software SPSS and the results showed the impact factors are in the order of temperature 〉humidity 〉the temperature difference between mean warmest month temperature and mean coldest month temperature.