黄柏山树轮生长对气候因子的响应及模拟

利用大别山西部的3个黄山松（Pinus taiwanensis Hayata）树木年轮采样点的样本,建立3个标准年表,其特征值都表明黄山松树木年轮宽度中含有较高的环境信息;年表间相关密切,区域主要受气候因子影响、南北差异显著;年表与气候因素的相关也显示不同环境生长的黄山松差异性要大于共性;同样多元线性回归也确定该研究区影响树木生长的主导因子为前一年10月的均温,而前一年8月的降水同样起着非常重要的作用。不同要素的模拟结果有较好的一致性,但极端气候条件下树木的生长差异显著。

Response and Model of Tree-rings Growth to Climate Factors at Huangbaishan Mountain in Henan Province

We developed three tree-ring width standard chronology from three Huangshan pine (Pinus taiwanensis) tree-ring sampling sites at Huangbaish Mountain in the western Dabieshan Mountain, Xinyang City of Henan Province. 1) 3 standard chronologies were developed by using the international general method of tree rings, the results of their chronology eigenvalues and statistical characteristics from common times indicated that higher environmental information was contained in Huangshan Pine tree-rings, nevertheless the first-order autocorrelation coefficient showed that there was the larger influence from the prior period of the tree-ring growth; 2) The results of correlation analysis (CA) and principal component analysis (PCA) showed that they closely related among 3 standard chronologies, but the result of PCA indicated that PC1 standing for the dominant factor was the climate environment factor and significant difference found from north to south, and PC2 and PC3 showed high altitude and sunny slope were conducive to the growth of Huangshan Pine; 3) Based on dendroclimatological analyses the relationships between tree-ring width indexes of whole research region and 3 sampling sites and climatic factors were detected there were some common impact factors to Huangshan Pine from different growth environment, but much more difference than that of in common; 4) By using multiple linear regression method, the regional tree-ring growth patterns were established about different influence factors, the stepwise linear regression results also identified that the dominant factor of affect trees growth in the whole study area was prior October temperature, and precipitation of previous August also plays a very important role in tree growth process. The results verify these of dendroclimatological research. The models of different elements have good consistency; tree growth difference is remarkable under extreme weather conditions.