南京林业大学学报(自然科学版) ›› 2018, Vol. 42 ›› Issue (06): 61-67.doi: 10.3969/j.issn.1000-2006.201711042

• 研究论文 • 上一篇    下一篇

秦岭鳌山太白红杉径向生长对气候因子的响应

闫伯前1,林万众1,刘琪璟2 ,于 健2*   

  1. (1.北京农学院植物科学技术学院,北京 102206; 2.北京林业大学林学院,北京 100083)
  • 出版日期:2018-11-30 发布日期:2018-11-30
  • 基金资助:
    收稿日期:2017-11-14 修回日期:2018-09-10
    基金项目:国家自然科学基金面上项目(31370587)
    第一作者:闫伯前(yanbq99@163.com),讲师,博士。*通信作者:于健(yujian1986829@sina.com),讲师,博士。

Response of radial growth of Larix chinensis to climatic factors in Aoshan Mountain of the Qinling Mountains, China

YAN Boqian1, LIN Wanzhong1, LIU Qijing2, YU Jian2 *   

  1. (1.College of Plant Science and Technology, Beijing University of Agriculture, Beijing 102206, China; 2.College of Forestry, Beijing Forestry University, Beijing 100083, China)
  • Online:2018-11-30 Published:2018-11-30

摘要: 【目的】秦岭是以太白红杉(Larix chinensis)为代表的典型温带针叶林分布区,也是受全球气候变化影响最为显著和敏感的地区之一,为了解该区树木生长对气候变化的敏感性,分析了秦岭鳌山太白红杉径向生长对气候因子的响应。【方法】基于树木年代学方法,利用鳌山高山林线太白红杉树木年轮宽度资料,建立树轮宽度年表,明确影响太白红杉径向生长的关键气候因子。【结果】太白红杉对气候变化反应较为敏感,年表包含较多的气候信息,适用于树轮气候学研究。相关分析表明,太白红杉径向生长与上年6月以及当年2月和6—7月气温呈显著正相关,与上年5月和当年1、6月降水量呈显著负相关。空间分析发现太白红杉树轮宽度年表对于评估采样点周边较大范围地区6月气温变化特征具有很好的空间代表性。【结论】一些大尺度的大气-海洋变化的耦合作用可能对秦岭地区太白红杉的径向生长产生影响。

Abstract: 【Objective】 The Qinling Mountains is the most typical distribution area for Larix chinensis-dominant temperate coniferous forests in China, and also one of the most significantly vulnerable areas affected by climate change worldwide. In this study, we aim to understand the sensitivity of L. chinensis growth to climate change.【Method】We used dendrochronological methods to establish tree-ring width chronologies for L. chinensis and identity key climatic factors that affect the radial growth of L. chinensis in Aoshan Mountain, Northwest China. 【Result】The growth of L. chinensis was sensitive to the climatic conditions, and climatic information suitable for dendroclimatology research was obtained. The results of the climate factor-growth correlation analysis revealed that the growth of L. chinensis was strongly positively correlated with June temperatures of the previous year and February, June and July air temperatures of the current year. However, the radial growth was strongly negatively correlated with precipitation in May of the previous year and January and June of the current year. Spatial correlation analyses with a gridded temperature dataset showed that the tree-ring width chronology of L. chinensis is a good representation for the variations in June air temperature at the study site. 【Conclusion】 The coupling effects of large-scale atmospheric-oceanic variability may affect the radial growth of L. chinensis in Aoshan Mountain. Our study provided basic data for the practical management of L. chinensis forest near the alpine timberline in the Qinling Mountains and allowed for climate reconstruction in the region.

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