## 3 Results and Discussion  
The range of the structural characteristics of the 1003 trees that were recorded is provided in Table 3. The majority of the samples are teak (54%), while mahogany and earleaf acacia account for the rest (43%). The range of the circumference and height for all samples is 19-100 cm and 1.23 m-25.66 m, respectively, while intra-variability for these two attributes seem to be similar across all species. However, variability in biomass is noticeable especially at the upper limit of the range: teak caps at 486 kg, earleaf acacia at 699 kg, mahogany at 829 kg, and other species at 129 kg. This is a consequence of the tailored allometric equations used for each species and the different coefficients applied as presented in Table 1. Despite the fact that generic allometric equations have been developed and employed in the literature (e.g., [17]), it has been shown that biomass predicting power is higher for species-specific models than for all species combined [7]. \begin{table}
\begin{tabular}{c c c} \hline
**Index** & **Reference** & **Equation** \\ \hline EVI (Enhanced Vegetation Index) & [92] & \(\frac{2.5*R_{NIR}-R_{R}}{R_{NIR}+6*R_{NIR}-7.5*R_{NIR}+1}\) \\ SAVI (Soil Adjusted Vegetation Index) & [93] & \(\frac{(1+1)(R_{NIR}-R_{R})}{(R_{NIR}+R_{R}+L)}\) \\ MSAVI2 (Improved Soil Adjusted Vegetation Index) & [94] & \(\frac{2R_{NIR}+1-\sqrt{(2R_{NIR}+1)^{2}-8(R_{NIR}-R_{R})}}{R_{NIR}+2*R_{NIR}- 2*R_{NIR}}\) \\ ARVI (Atmospherically Resistant Vegetation Index) & [95] & \(\frac{R_{NIR}}{R_{NIR}+2*R_{NIR}-R_{R}}\) \\ mNDVI (modified Normalized Difference Vegetation Index) & [96] & \(\frac{R_{NIR}}{R_{NIR}+R_{NIR}+R_{NIR}}\) \\ CRI (Carotenoid Reflectance Index) & [97] & \(\frac{1}{1-\frac{1}{R}}\) \\ NDVI (Normalized Difference Vegetation Index) & [88] & \(\frac{R_{NIR}}{R_{NIR}+R_{NIR}}\) \\ VOG1 (Vogelmann) & [98] & \(\frac{R_{NIR}}{R_{NIR}+R_{NIR}}\) \\ \hline \end{tabular}
\end{table} 
Table 2: Popular vegetation indices selected for the current study, their respective equation, and bibliographic references. Bands wavelengths used in the equations are translated to Sentinel-2 central bands according to the following correspondence: \(B\) (Blue): band 2 at 490 nm, \(R\) (Red): band 4 at 665 nm, _NIR_ (Near InfraRed): band 8 at 842 nm, _REDGE_ (Red Edge): band 8a 2 865 nm, _REDGE_2 (Red Edge 2): band 5 at 705 nm, and _REDGE_3 (Red Edge 3): band 6 at 740 nm. \(L\) is the canopy background adjustment factor = 0.5. Figures 2-4 present the statistical distribution of the structural characteristics categorized by species (Figure 2), monodominance (Figure 3), and dominance and species (Figure 4). Figure 2 depicts the histogram distribution of the biomass, diameter, and height for the three major species. Regarding the biomass distribution, [PERSON] et al. [20] estimated the average AGB in this private forested area to be 72.54 ton/ha; private forests contain a relatively lower AGB compared to natural tropical forests as it is the case that, in the former, mature trees are harvested, while the latter accumulate large amounts of terrestrial AGB over long periods of time [99]. From the findings of the current study, it is apparent that the diameter distributions of the three tree species (colored curves) have similar characteristics and shape; consequently, the distributions of biomass and height are similar. This conclusion leads us to the observation that, for the current study area and species, the diameter does not associate with biomass, and the height of the tree is, rather, the characteristic that defines the biomass. Such a characteristic can be measured by Lidar, and we can speculate that, with Lidar-derived height, an estimation of the biomass per tree and per plot would be feasible. Figure 3 presents the statistics for the field plots, depending on the classification of each plot as monodominant or not. Monodominant plots inherit a smaller variation and mean biomass. The smaller variation in monodominant plots is anticipated and explained from the homogeneity of the species therein.