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    连政华, 张春雨, 程艳霞, 辛本花. 中国东北部典型树种功能性状地理变异规律研究[J]. 北京林业大学学报, 2019, 41(3): 42-48. DOI: 10.13332/j.1000-1522.20180352
    引用本文: 连政华, 张春雨, 程艳霞, 辛本花. 中国东北部典型树种功能性状地理变异规律研究[J]. 北京林业大学学报, 2019, 41(3): 42-48. DOI: 10.13332/j.1000-1522.20180352
    Lian Zhenghua, Zhang Chunyu, Cheng Yanxia, Xin Benhua. Geographical variations of functional traits of typical tree species in northeastern China[J]. Journal of Beijing Forestry University, 2019, 41(3): 42-48. DOI: 10.13332/j.1000-1522.20180352
    Citation: Lian Zhenghua, Zhang Chunyu, Cheng Yanxia, Xin Benhua. Geographical variations of functional traits of typical tree species in northeastern China[J]. Journal of Beijing Forestry University, 2019, 41(3): 42-48. DOI: 10.13332/j.1000-1522.20180352

    中国东北部典型树种功能性状地理变异规律研究

    Geographical variations of functional traits of typical tree species in northeastern China

    • 摘要:
      目的以东北林区典型喜光树种和耐阴树种为对象,探讨功能性状沿地理梯度的变化格局及其成因,为科学预测典型树种对未来环境变化的响应和适应策略提供依据。
      方法利用标准化主轴回归法检验树高、比叶面积、木质密度3个性状的种内关联性;采取偏相关分析法计算功能性状与气候因子之间的关系。
      结果树高、比叶面积和木质密度3个性状在种内没有显著的关联性。植物性状的地理分布格局随树种而变化,白桦、水曲柳、色木槭的树高随经度增加而减小;山杨、水曲柳和色木槭的树高随纬度增加而减小;白桦和水曲柳的树高随海拔增加而增大。白桦和山杨的比叶面积随经度增加而减小,水曲柳和色木槭的比叶面积随经度增加而增大;白桦、山杨、水曲柳的比叶面积随纬度增加而增大。色木槭的木质密度随经度增加而增大;蒙古栎的木质密度随纬度增加而减小。植物性状与气候因子关系分析显示,白桦的树高与年均温度显著负相关,白桦、山杨、蒙古栎、水曲柳、红松的树高与年降水量显著正相关;白桦的比叶面积与年降水量显著负相关,蒙古栎、山杨和水曲柳的比叶面积与年均温度显著负相关;蒙古栎的木质密度与年均温度显著正相关,色木槭的木质密度则与年均温度显著负相关。
      结论功能性状地理格局及其环境驱动机制随着树种变化而变化。总体上,树高和比叶面积分别受降水和温度的影响;木质密度相对稳定,受气候因子影响不显著。

       

      Abstract:
      ObjectiveBy taking typical shade-intolerant and shade-tolerant tree species in northeastern China as objects, this study discusses the changing pattern of functional traits along geographic gradient and the underlying causes, which could provide scientific support for predicting the response and adaptation strategies of typical tree species to future environmental changes.
      MethodMethod of standardized major axis regression was applied to examine the intraspecific correlation among tree height, specific leaf area and wood density; and method of partial correlation analysis was applied to analyze the relationship between functional traits and climatic factors.
      ResultThere was no significant intraspecific correlation among tree height, specific leaf area and wood density. The geographical distribution pattern of plant traits changed with tree species, the height of Betula platyphylla, Fraxinus mandshurica and Acer pictum decreased with the increase of longitude; the height of Populus davidiana, Fraxinus mandshurica and Acer pictum decreased with the increase of latitude; the height of Betula platyphylla and Fraxinus mandshurica increased with elevation. The specific leaf area of Betula platyphylla and Populus davidiana decreased with increasing longitude, while that of Fraxinus mandshurica and Acer pictum increased with increasing longitude; the specific leaf area of Betula platyphylla, Populus davidiana and Fraxinus mandshurica increased with latitude. The wood density of Acer pictum increased with longitude, while that of Quercus mongolica decreased with latitude. The relationship between plant traits and climatic factors showed that the tree height of Betula platyphylla was negatively correlated with annual mean temperature, and the tree height of Betula platyphylla, Populus davidiana, Quercus mongolica, Fraxinus mandshurica and Pinus koraiensis was positively correlated with annual precipitation; the specific leaf area of Betula platyphylla was negatively correlated with annual precipitation, while that of Quercus mongolica, Populus davidiana and Fraxinus mandshurica was negatively correlated with annual mean temperature; The wood density of Quercus mongolica had significant positive correlation with annual mean temperature, while the wood density of Acer pictum was negatively correlated with the annual mean temperature.
      ConclusionGeographical patterns of functional traits and their underlying environmental driving mechanisms vary with tree species. In summary, tree height and specific leaf area are separately affected by precipitation and temperature; wood density is relatively stable, which is not significantly affected by climatic factors.

       

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