摘要
利用位于阿勒泰市阿尔泰山森林上限的西伯利亚落叶松树轮资料,建立了3个样点的树轮宽度年表,并将其与阿勒泰气象站的气象资料进行相关普查,结果表明树轮宽度与当年6月的温度显著正相关,该相关生理学意义明显。提取了3个采点宽度标准化年表的第一主成分,建立了第一主分量和当年6月平均温度的转换方程,方差解释量为41.5%,并通过了稳定性检验。在此基础上,重建了阿勒泰气象站436a来的6月平均温度序列,分析了温度序列的周期、突变等特征。
Altay mountains,located at the most northwestern China,is the upper stream of the climate and weather of China.Due to the relatively high elevation and latitude,the temperature in June is relatively low.Most of the previous dendroclimatological researches for northwest arid and semiarid China,respond to precipitation,only a few are sensitive to temperature.Tree ring samples from the upper tree line of Altay Mountains in Altay City were collected in 2005.Three kind of tree ring width chronologies were developed and correlated with the meteorological data from Altay weather station.The results show that tree ring width is significantly positive related to the current June temperature,and the relationship has the obvious physiological mechanism.June is the fast growth period for Larix sibirica Ledb.,and is also the leading recharge time of melt water.Under the sufficient water supply conditions,higher temperature is benefit to photosynthesis.The first principal component of three tree ring width standardized chronologies was taken by the method of principal component analysis.The transfer function between the mean June temperature and principle component was set up.The function passed the stability test and the total explained variance of it is 41.5%.The reconstructed 436a mean June temperature experienced six cold periods and five warm periods.Spectral analysis has revealed the most significant cycles of the reconstructed temperature series.Cycles of 2 and 4 years are well expressed and close to ＂quasi-biennial oscillation＂ and earth rotation cycles.
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2010年第8期116-121,共6页
Journal of Arid Land Resources and Environment
基金
科技基础性工作专项(2007FY220200)
公益性行业专项(GY200706008
GYHY200806011)
科技部(2005DIB6J113)
新疆气象局项目(200725)资助
关键词
阿尔泰山
西伯利亚落叶松
树木年轮
主成分分析
气候变化
Altay Mountains
Larix sibirica Ledb.
tree ring
principal component analysis
climate change
