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对赣南树木园内521个引种树种物候、生长动态长期观测所积累的资料进行多元统计分析。如用聚类分析揭示物种间物候期与生长的相似性并进行数量分类;用典范相关分析揭示两组物候期变量之间的相关性,为物候期预报与控制提供信息参考;对一些物种苗期进行生长节律分析与月生长建模,为物种苗期田间管理进行有价值技术储备;对物种测树指标进行数学建模,有利于了解物种生长特性,为引种与推广提供有价值的技术资料。统计分析手段以简取繁,除引用多元统计分析方法外,还藉助于灰色系统理论中的灰色建模与关联分析。
Multivariate statistics were used to analyze the data accumulated from long-term observations of 521 introduced species and growth dynamics in the tree garden of southern Jiangxi Province. Such as using cluster analysis to reveal the similarities and quantitative classification of phenology and growth between species; using canonical correlation analysis to reveal the correlation between phenophase variables in two groups, providing information reference for phenophase prediction and control; for some species Growth rhythm analysis and monthly growth modeling at the seedling stage, and valuable technical reserves for field management of species seedlings. Mathematical modeling of species-based tree indices is beneficial to understand the growth characteristics of species and provide valuable information for introduction and popularization Technical Information. Statistical analysis means to simplify, in addition to reference multivariate statistical analysis methods, but also by means of gray system theory in gray modeling and correlation analysis.