Dominant height of vegetation and tree cover were highest in 2015 compared with 1994.
The coefficients of determination ranged from 0.167 for shrub cover, to 0.906 for dominant height.
Consecutive 1- and 2-year rotations led to a decrease in the dominant height of birches.
Early fire also significantly reduced the CAI in dominant height at Laba.
The models that provided the best results included dominant height and dominant diameter as fixed effects.
Stand attributes such as age, trees per hectare, mean diameter and height, dominant height, volume per hectare, form factor, annual increment per hectare and growth have also been estimated from individual plot data for some time.
Other significant explanatory variables included those that characterize vegetation structure (mean diameter at breast height, dominant height), climate (annual precipitation, mean temperature of the growing season), and geography (elevation, latitude) depending on the species and fiber attribute being modeled.
The results showed that the significant predictors included total tree height, diameter at breast height (DBH), dominant height, and total basal area of all trees with DBH larger than a target tree per sample plot.
They depict the relationship between stand density, average tree size, stand yield and dominant height, based upon relevant ecological and allometric relationships such as the self-thinning rule, the yield-density effect, and site index curves.
Selective removal of trees did not affect any of the parameters studied, except the CAI in dominant height at the Tiogo site which was significantly (p = 0.028) reduced by the cutting treatment.
