摘要
测定天目山3株柳杉树轮的δ13C年序列,发现δ13C年序列值存在差异,但序列的变化趋势基本一致。对3个树轮δ13C序列作相关分析,相关系数为0.47~0.65,通过了α为0.001的信度检验;用二项式拟合法与差值法对3个δ13C序列含有的高频与低频成分进行分离,3个低频序列间的相关系数达0.93~0.99,3个高频序列间的相关系数达0.79~0.84,相关性显著提高;低频部分与大气CO2浓度高度负相关,高频部分与季节的气温、降水高度相关。分析3个树轮δ13C序列间差异形成原因,结果表明:3个树轮δ13C序列含有相似的高频与低频变化,气候因素与大气因素(如CO2浓度)对不同柳杉个体δ13C年序列高、低频变化的影响是共同的;3个δ13C序列的差异主要由树木立地处局部环境条件的差异引起。不同树木个体其δ13C序列的共性变化是主要的,个性差异并不影响树轮δ13C作为研究气候变化代用资料的适宜性,利用同一地区不同立地处的树轮δ13C序列可以重建基本一致的历史气候和大气CO2浓度变化。
The δ^13C annual series in three Cryptomeria Fortunei Hooibrenkex ottoet Dietr（CF） tree rings collected from west Tianmu Mountain were determined. The results show that the three δ^13C annual series have some differences, but their variation trends are similar. In the common period,related analysis has found that the correlation coefficients are 0.47-0.65,all passing the test of α=0.001 .The relativity,which is among the three high- frequency series as well as the one among the three low- frequency series separated from the three δ^13C annual series, respectively, are all remarkably increased. There is high negative correlation between the lowfrequency and atmospheric CO2 as well as high correlation between the high - frequency and temperature and precipitation in plant growing season. Then the causes of the difference between the three δ^13C annual series were analyzed by using qualitative and quantitative methods. The result showed that the three δ^13C annual series there were similar high - frequency and low - frequency and the climatic factors,which caused the high- frequency variation and the atmospheric CO2, which affected the low- frequency variation, were commonness for the different individual of plants collected from different sites. The difference of the environment condition at different site resulted in the individual difference of the three δ^13C annual series. But the commonness in the different δ^13C annual series was most predominant, the individual difference was not affect both applicability of δ^13C annual series acting as indirect information in studying climatic changes and reliability as well as coherence of reconstructed historical climate. So, we can reconstruct basically the coincident atmospheric CO2 concentration and historical climatic change by using different δ^13C annual series in tree rings collected from the different sites in the same areas.
出处
《地理与地理信息科学》
CSSCI
CSCD
北大核心
2005年第4期104-108,共5页
Geography and Geo-Information Science
基金
国家自然科学基金资助项目(49771001)
