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作 者:彭希 赵安玖[1] 陈智超 吕佳瑶 李曜汐 PENG Xi;ZHAO Anjiu;CHEN Zhichao;LÜJiayao;LI Yaoxi(College of Forestry,Sichuan Agricultural University,Chengdu 611130,Sichuan,China)
出 处:《浙江农林大学学报》2021年第1期65-73,共9页Journal of Zhejiang A&F University
基 金:国家林业和草原局珍稀濒危物种野外救护与繁育项目(003Z2400)。
摘 要:【目的】研究不同发育阶段峨眉含笑Michelia wilsonii的枝叶性状,可了解峨眉含笑种群枝叶之间对资源的权衡利用情况,预测枝叶性状的空间分布情况。【方法】以四川省雅安周公山不同发育阶段的峨眉含笑为研究对象,采用标准化主轴分析(SMA)、主成分分析(PCA)和地统计方法,研究不同发育阶段峨眉含笑枝叶性状的相关性和空间特征。【结果】①不同发育阶段叶鲜质量、叶干质量、叶干鲜比、叶面积、比叶面积、叶厚度、1年生小枝密度、2年生小枝密度、2年生小枝干鲜比之间差异显著(P<0.05),1年生小枝干鲜比差异不显著(P>0.05)。②不同发育阶段叶性状间呈显著相关(P<0.05),小枝性状间呈显著相关(P<0.05),叶片性状与小枝性状相关不显著(P>0.05)。③整体种群枝叶性状的最优半方差拟合函数以线性模型为主,呈随机分布。大树阶段以指数和球状模型为主,呈聚集分布,而中小树阶段的空间相关性差。【结论】峨眉含笑种群的生态策略随着发育阶段的增加由快收益向慢收益转变,采用半方差函数能够预测枝叶性状的分布情况。[Objective]This study,with an examination of the twig and leaf traits of Michelia wilsonii at different developmental stages,is aimed to research the balanced utilization of such resources so as to better predict the spatial distribution of the branch and leaf traits.[Method]With the M.wilsonii of Zhougong Mountain in Ya’an selected as the research object,the standardized major axis regression(SMA),principal component analysis(PCA)and geostatistical methods were employed to study the correlation and spatial characteristics of twig and leaf traits at different developmental stages.[Result](1)The fresh leaf weight,dry leaf weight,dry matter content,leaf area,specific leaf area,leaf thickness,annual twig density,biennial twig density and biennial twig dry matter content were significantly different among developmental stages(P<0.05),while the annual twig dry matter content was not significantly different among developmental stages(P>0.05);(2)There was a significant correlation between leaf traits among developmental stages(P<0.05)and a significant correlation between twig traits(P<0.05)while the correlation among leaf and twig traits was weak(P>0.05);(3)The optimal model of the semi-variogram function was linear model for the twig and leaf traits among the whole population,with a distribution of randomness while the big tree stage,with a distribution of aggregation,mainly followed the exponential and spherical model;the spatial correlation of small and medium tree stage is weak.[Conclusion]As developmental stages advance,the yielding of profits by M.wilsonii slows down and the distribution of twig and the employment of the semivariance function can help predict leaf traits.
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