云南松、思茅松和卡西亚松天然种群间的针叶表型变异
李卫英1,2, 章正仁2, 辛雅萱1, 王飞1, 辛培尧1,*(
), 高洁2,*()
), 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,*()
), GAO Jie2,*()
图5. 云南松、思茅松和卡西亚松的针叶表型性状主成分分析中第一主成分的群体分值(PC1)随重要气候变量(多元线性模型筛选)的地理变异趋势。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。所有值为基于lg转换后扩大100倍。
Fig. 5. Distribution patterns of the population score of the first principal component value (PC1) based on the analysis of conifer phenotypic traits of Pinus yunnanensis, P. kesiya var. langbianensis and P. kesiya was the geographical variation trend of important climatic variables (multivariate linear model screening). BIO2, mean temperature diurnal range; BIO9, mean temperature of driest quarter; BIO13, precipitation of wettest month; BIO14, precipitation of driest month; BIO15, precipitation seasonality. The values was lg transformed and multiplied by 100.
