Constructing bivariate dbh/dead‐branch height distribution of pines for use in sawing production planning

Simple diameter at breast height (dbh) distribution and dimensional measures are nowadays insufficient to describe the composition of forest stands for sawing production planning. Marked price differences between different lumber grades means that sawmills also need reliable information about the qualitative composition of stands. Procedures for creating bivariate dbh/dead‐branch height distributions using the multivariate kernel method and generating lists of surrogate trees for sawing production planning are offered here. The test results indicate that the multivariate kernel method is superior to calculating smoothing of dbh and dead‐branch height separately.