Abstract
To understand the relationship between structural root and aboveground attributes of naturally regenerated saplings of Taiwan yellow false cypress ( Chamaecyparis obtusa Sieb. & Zucc. var. formosana Rehder) in northeastern Taiwan, a linear regression model based on 15 saplings was developed with ground level diameter (GD) as the regressor for summarizing nine structural root characteristics. The model’s dependent variable, a structural root index, was the centered first principal component scores derived from the nine structural root attributes. The index represented a linear combination of the nine attributes and explained 72% of total variability exhibited by the attributes. The estimated regression model had a positive regression coefficient with an R 2 of 0.92. The results indicated that, for the species of interest, GD was indeed a good indicator of a sapling’s structural root characteristics. A balanced bootstrapping method was used to construct 95% confidence intervals on the parameters of interest. Though the results are only applicable to the species and the region under consideration, the methodology developed in this study is a general one and can be applied to other species and regions as well.
Published Version
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