云南松、思茅松和卡西亚松天然种群间的针叶表型变异

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李卫英¹^,², 章正仁², 辛雅萱¹, 王飞¹, 辛培尧¹^,^*(

), 高洁²^,^*(

)

Needle phenotype variation among natural populations of Pinus yunnanensis, P. kesiya var. langbianensis and P. kesiya

LI Wei-Ying¹^,², ZHANG Zheng-Ren², XIN Ya-Xuan¹, WANG Fei¹, XIN Pei-Yao¹^,^*(

), GAO Jie²^,^*(

)

图4. 多元线性模型筛选出的重要气候变量与云南松、思茅松和卡西亚松针叶性状的相关性。LSC, 气孔腔长度; LSGC, 气孔保卫细胞长度; NL, 针叶长度; SD, 气孔密度; WSC, 气孔腔宽度; WSGC, 气孔保卫细胞宽度; WTLL, 木质增厚层长度; WTLW, 木质增厚层宽度。BIO2, 平均气温日较差; BIO9, 最干季平均气温; BIO13, 最湿月降水量; BIO14, 最干月降水量; BIO15, 降水量季节变异系数。r, 相关系数。所有值为基于lg转换。

Fig. 4. Significant correlation between the needle traits and climatic variables (selected by the multiple linear regression model) of Pinus yunnanensis, P. kesiya var. langbianensis and P. kesiya. LSC, length of the stomata cavity; LSGC, length of stomata guard cell; NL, needle length; SD, stomatal density; WSC, width of the stomata cavity; WSGC, width of the stomata guard cell; WTLL, length of the woody thickening layer; WTLW, width of the woody thickening layer. BIO2, mean temperature diurnal range; BIO9, mean temperature of driest quarter; BIO13, precipitation of wettest month; BIO14, precipitation of driest month; BIO15, precipitation seasonality. r, correlation coefficient. The values was lg transformed.