文献类型：期刊文献

英文题名：Climatic signal in cellulose microfibril angle and tracheid radial diameter of Picea crassifolia at different altitudes of the Tibetan plateau, northwest China

作者：Xu, Jinmei[1] Lu, Jianxiong[1] Evans, Robert[2] Downes, Geoffrey M.[3,4]

第一作者：徐金梅

通信作者：Lu, JX[1]

机构：[1]Chinese Acad Forestry, Res Inst Wood Ind, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China;[2]CSIRO Mat Sci & Engn, Clayton, Vic 3169, Australia;[3]CSIRO Ecosyst Sci, Hobart, Tas 7001, Australia;[4]CRC Forestry, Hobart, Tas 7001, Australia

年份：2015

卷号：49

期号：6

起止页码：1307-1318

外文期刊名：WOOD SCIENCE AND TECHNOLOGY

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000363052000015)】；

基金：This work was funded by the National Natural Science Foundation of China (31300478) and Special Fund of Chinese Academy of Forestry for Fundamental Research (CAFYBB2014QB010) and The Lecture and Study Program for Outstanding Scholars from Home and Abroad (CAFYBB2011007). The Academy of Water Resource Conservation Forest of Qilian Mountains in Gansu provided appreciable support for fieldwork. Thanks to Winston Liew in CSIRO for technical assistance with sample preparation and measurement.

语种：英文

外文关键词：Climate change

摘要：Little attention was given to the climatic signals in wood properties, such as microfibril angle (MFA) and tracheid radial diameter (TRD). In this article, year-to-year variation in MFA and TRD was measured by SilviScan-3 on dated Picea crassifolia trees growing at three altitudes in the northeastern Tibetan plateau. Climatic signals registered in MFA and TRD were analyzed using dendroclimatology methods. The annual variation of MFA and TRD was strongly linked to high-frequency climatic signals. Both MFA and TRD were negatively correlated with temperature and positively correlated with precipitation. The temperature had a similar influence on MFA and TRD at three different altitudes, while the influence of precipitation decreased with the increasing altitudes. MFA was negatively correlated with TRD, and this MFA-TRD internal relationship (R (t)) varied with calendar year. Temperature and precipitation had a strong influence on R (t). Temperature was positively correlated with R (t), and precipitation was negatively correlated with R (t). The influence of temperature was stronger than that of precipitation. The influence of temperature increased with the increase in altitudes, while the influence of precipitation decreased with the increasing altitudes. Results of this study revealed that the trees could change their internal characteristics to adapt to the changing climate.