Stump diameter and DBH relationships for white oak and black oak in the Lower Peninsula of Michigan

Abstract

Principal component analysis of white oak (Quercusalba L.) and black oak (Quercusnigra L.) revealed different stem profiles across four ecological land units in the Lower Peninsula of Michigan. Multivariate linear regression and geometric models were developed to predict DBH from stump diameter for both species. For the multivariate model, the prediction variables were stump diameters at 15 and 30 cm above the ground level. The geometric model uses stump diameter at any height. Both the multivariate and geometric models can be used to predict DBH; however, the geometric models have the advantage of using fewer variables and being more flexible than the multivariate models.