Figure 7 Summary of relationships between mean tree stiffness and tree variables.
Trajectories of the number of trees against mean tree diameter, number of trees against mean tree height, or stand basal area against stand age may serve as useful representations for guidelines.
Figure 5 Relationships between mean tree stiffness and tree variables for thinning treatment A through E, at Site 803.
The analysis variables are: volume per hectare (m3 ha−1), stocking (trees ha−1), and mean tree volume (m3).
However, relationships between mean tree stiffness and tree variables were either weakly (acoustic velocity, V, diameter at breast height, D) or moderately (taper, T) correlated.
Suppose, the trees represent the mean tree development this productivity equals the stand productivity for the given stand density.
Strohbach et al. [32] simulated the carbon footprint (sequestration minus emissions) of selected park trees planted in the city of Leipzig, Germany, with a total net of up to 162 tC/ha for a 50-year LCA (averaging 3.24 tC/ha/year per unit of tree cover) concerning mean tree growth and low annual tree mortality.
We conclude that where horizontal structure is not limiting, forest stands regenerated by clearcutting may provide suitable habitat for resident, nonjuvenile marten when the following thresholds are reached: live-tree basal area ≥18 meana, mean tree height ≥9 m for trees with dbh ≥7.6 cm, and snag volume ≥10 m3/ha.
This model seeks to explain stand productivity P as a function of species richness R, the stand structural heterogeneity expressed by the diameters' coefficient of variation, CVd, stand density, SDI, mean tree size, represented by mean tree diameter, dq, mean annual temperature and annual precipitation.
The veneer stiffness data was then collated at the tree level to calculate mean tree stiffness.
