王荷, 胡文彬, 熊莹莹, 等. 滇西北哈巴雪山2个针叶树种径向生长与气候因子的关系[J]. 西南林业大学学报(自然科学), 2021, 41(6): 79–85 . DOI: 10.11929/j.swfu.202005056
引用本文: 王荷, 胡文彬, 熊莹莹, 等. 滇西北哈巴雪山2个针叶树种径向生长与气候因子的关系[J]. 西南林业大学学报(自然科学), 2021, 41(6): 79–85 . DOI: 10.11929/j.swfu.202005056
Wang He, Hu Wenbin, Xiong Yingying, Qin Xinhao. The Relationship Between Radial Growth of 2 Conifer Trees and Climatic Factors in the Haba Snow Mountain[J]. Journal of Southwest Forestry University, 2021, 41(6): 79-85. DOI: 10.11929/j.swfu.202005056
Citation: Wang He, Hu Wenbin, Xiong Yingying, Qin Xinhao. The Relationship Between Radial Growth of 2 Conifer Trees and Climatic Factors in the Haba Snow Mountain[J]. Journal of Southwest Forestry University, 2021, 41(6): 79-85. DOI: 10.11929/j.swfu.202005056

滇西北哈巴雪山2个针叶树种径向生长与气候因子的关系

The Relationship Between Radial Growth of 2 Conifer Trees and Climatic Factors in the Haba Snow Mountain

  • 摘要: 为探讨滇西北哈巴雪山树木径向生长与气候因子之间的关系,分别采集云南红豆杉与云南松年轮样本,建立了差值年表,并将所得年表与气候因子进行响应分析和冗余分析,探讨影响2个树种生长的关键气候因子。结果表明:温度和降水为影响2个树种径向生长的气候因子,“滞后效应”对二者影响显著;影响云南红豆杉生长的关键因素是上年生长季后期的水热条件,与上年生长季后期(9—10月)的平均温度、降水分别呈显著正相关和负相关;云南松的径向生长与前一年8月、当年7月温度呈显著负相关,与当年2月、3月和5月降水呈显著正相关;冗余分析与响应分析的结果基本一致,进一步证明冗余分析能够有效量化树木年轮宽度年表与气候因子的关系。

     

    Abstract: To study the relationship between tree radial growth and climates in the Haba Snow Mountain, Northwestern Yunnan, we collected tree-ring samples and established residual chronologies of Taxus yunnanensis and Pinus yunnanensis. Then we examined growth responses to climate variables by response function analysis and redundancy analysis to identify the key climatic factors driving the radial growth of the 2 species. The results showed that temperature and precipitation were both factors affecting the radial growth of the 2 species, with an obvious lag effect. Hydrothermal condition in the post growing season(September to October) of the last year was the key factor affecting the growth of T. yunnanensis. Temperature and precipitation of previous post-growing season positively and negatively affected its growth, respectively. The radial growth of P. yunnanensis was negatively affected by temperature of the previous August and current July, and showed a significantly positive correlation with precipitation of the current February, March and May. The redundancy analysis presented similar results as the response function analysis, further indicating that it can effectively quantify the correlation between the growth and climatic variables.

     

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