Back to Article
Allometric Models for Predicting Biomass and Carbon Pools of Boscia Senegalensis(Pers.) Lam. Ex Poir. (Capparaceae) Populations in Central Africa: A Case Study from Cameroon
Research Journal of Ecology and Environmental Sciences
| Vol 1, Issue 2
Table 4. Selection of the BestModels
| Models | Adj.R2 | RSE | AIC | CF |
| ln (leaf biomass) = 0.08 + 0.31*ln (D2×H×ρ) | 0.88 | 0.400 | 6.82 | 1.08 |
| ln (branch biomass) = 0.14 + 0.65*ln (D²×H×ρ) | 0.89 | 0.403 | 8.53 | 1.08 |
| ln (stem biomass) = 2.03 + 1.32*ln (D²×H) | 0.95 | 0.401 | 8.04 | 1.08 |
| ln (AGB) =4.55 + 2.85*ln(D) | 0.97 | 0.408 | 10.07 | 1.08 |
| ln (BGB) =3.04+ 1.64*ln(D) | 0.85 | 0.500 | 8.05 | 1.13 |
AGB: Aboveground biomass, BGB: Belowground biomass, ln: logarithmic, D: Diameter, H: Height,ρ: wood density, Coefficient of determination adjusted (Adj.R2), residual standard error (RSE) and Akaike information criteria (AIC).