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There is no effect of tree diversity on average tree volume increments, but the upper border line of the data shows a steady decrease with tree diversity of about 8% (Fig. 5).
At the final measurement date, average stand volume (SV: m3 ha−1) was calculated as the average tree volume (V) per treatment scaled to a hectare (1000 stems per hectare).
The stored carbon volume per ha is calculated from 1500 stems ha(^{-1}), an average tree volume of 6 m(^2), a timber value of 0.2 and a linear relationship between the diameter at breast height (0 75 cm) and the age (0 200 years).
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The temporal development of the Gini coefficients for volume and volume increment at each site was modelled using stand density (DENS), mean tree volume (SIZE), the average competition index (COMP), and stand-level annual volume increment in the current year (AVI) and one year previously (AVI1) as predictor variables.
The analysis variables are: volume per hectare (m3 ha−1), stocking (trees ha−1), and mean tree volume (m3).
These post-cutting structures were conifer-dominated stands, which can sequestrate carbon for long time, and reach a high growing stock volume and large average tree size, resulting in high carbon stock of both living biomass and dead organic matter.
Based on the simulation results, the use of Landsat pixel reflectances to estimate volume per ha, average tree size (i.e., quadratic mean diameter), and stems per ha did not show great promise in improving estimates for each polygon over using forest cover data alone.
Inter-individual relationship between the tree volume and tree volume growth within a population.
A tree volume estimate is usually based on three parameters: tree species, tree diameter and tree height.
Differences in stand conditions affect tree form and thus tree volume (Bluhm et al. 2007).
Total stand volume was calculated from a compatible tree volume equation (Tewariet al., 2013).
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