From: Model errors in tree biomass estimates computed with an approximation to a missing covariance matrix
Species | # | Equation | \(\hat{R}^{2}\) | \(\hat{\sigma }_{e}^{{}}\) kg | Sample size |
---|---|---|---|---|---|
Guazuma ulmifolia | 1 | \(\log \left( {\hat{\text{AGB}}} \right) = - 1.62 + 2.12\log \left( {\text{DBH}} \right)\) | 0.97 | 0.48 | 18 |
Inga vera | 2 | \(\log \left( {\hat{\text{AGB}}} \right) = - 4.04 + 4.00\log \left( {\text{DBH}} \right) - 0.29\log \left( {\text{DBH}} \right)^{2}\) | 0.97 | 0.39 | 15 |
Ochroma pyramidale | 3 | \(\log \left( {\hat{\text{AGB}}} \right) = - 2.45 + 2.30\log \left( {\text{DBH}} \right)\) | 0.90 | 0.96 | 16 |
Trichospernum mexicanum | 4 | \(\log \left( {\hat{\text{AGB}}} \right) = - 2.82 + 2.42\log \left( {\text{DBH}} \right)\) | 0.96 | 0.40 | 16 |
Quercus castenea | 5 | \(\hat{\text{AGB}} = 0.0416{\text{DBH}}^{2.7154}\) | 0.97 | 11.6 | 38 |
Quercus latea | 6 | \(\hat{\text{AGB}} = 0.0333{\text{DBH}}^{2.6648}\) | 0.92 | 12.8 | 7 |
Quercus spp. | 7 | \(\hat{\text{AGB}} = 0.0342{\text{DBH}}^{2.7590}\) | 0.93 | 15.7 | 45 |