Abstract

Artocarpus heterophyllus Lam. and Mangifera indica L. are the common homestead species that are planted all over Bangladesh for fruit and commercial timber production to meet the local household demand. The allometric biomass model is a non-destructive mathematical tool to estimate the biomass and carbon storage in trees which are applied to estimate the biomass of Artocarpus heterophyllus and Mangifera indica in this study. The total above-ground biomass of sampled trees was calculated from stem volume, wood density, and biomass expansion factor (BEF). Frequently used four linear models (Ln transformed) were tested to derive the best fit allometric model for the total above-ground biomass (TAGB). The best fit model was selected considering the values of R2, RSE, AIC, AICw, and CF. The best fit TAGB allometric models of Artocarpus heterophyllus and Mangifera indica were TAGB = exp(−0.8971+ 1.9908*Ln (D)) and TAGB = exp(−0.2272865 + 1.8017*Ln(D)) respectively. In the case of both species, the best fit TAGB allometric models showed the highest efficiency in biomass estimation compared to the other frequently used regional and pan-tropical models.

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