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The method was evaluated by comparing vertical profiles of material density for a forest stand calculated from TLiDAR scans and L-Architect's canopy model, resulting in a Pearson's correlation coefficient of 0.95.
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Table 2 summarizes the stand variables calculated from the tree data assessed in the observational studies.
The cost of each stand was calculated on the basis of the economic value of forest land and timber.
The BA for the survey stand was calculated from the sum of BA of each tree inside the plot and divided by plot area.
The live tree biomass C stocks for each stand was calculated by summing the individual stems within the plot, as illustrated in equation (1).
The mean ring number for an outerwood sample taken from breast-height in a 20-year-old stand is calculated using the following equation: mathrm{Ring}=18-left 7.8-0.329SI+0.00388S{I}^2right) (A2).
The k H of these stands was calculated using simulations of homogeneous canopies consisting of box-shaped crowns.
The percentages of identity with the P. falciparum sequences are indicated (tl stands for calculated on the total length of the Plasmodium sequences), as well as the lengths of the considered protein sequences.
Relative stand density was calculated by dividing absolute stand density by the total basal area of the normal growing stock with a relative stand density of 1.0.
Finally, the quadratic mean diameter, ( d{g}_k^{mathrm{prior}}, ) of the forest stand before disturbance is calculated from stand basal area before disturbance, ( {G}_k^{mathrm{prior}}, ) and the number of trees per hectare before disturbance, ( {N}_k^{mathrm{prior}}, ) using the following two equations.
Site chronologies were constructed per stand by calculating a bi-weight robust mean of the index series of individual trees.
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