Development of Allometric Biomass Models for <I>Hevea brasiliensis</I> MÃ¼ll. Arg. Plantation of Bangladesh: A Non-Destructive Approach

Mahmood Hossain; Chameli Saha; Mohammad Raqibul Hasan Siddique; S. M. Rubaiot Abdullah; S.M. Zahirul Islam; Falgoonee Kumar Mondol; Md. Zaheer Iqbal; Mariam Akhter; Henry Matieu

doi:10.36808/if/2021/v147i4/152964

Development of Allometric Biomass Models for Hevea brasiliensis MÃ¼ll. Arg. Plantation of Bangladesh: A Non-Destructive Approach

Authors

Mahmood Hossain Forestry and Wood Technology Discipline, Khulna University, Khulna
Chameli Saha Forestry and Wood Technology Discipline, Khulna University, Khulna
Mohammad Raqibul Hasan Siddique Forestry and Wood Technology Discipline, Khulna University, Khulna
S. M. Rubaiot Abdullah Forestry and Wood Technology Discipline, Khulna University, Khulna
S.M. Zahirul Islam Forest Inventory Division, Bangladesh Forest Research Institute
Falgoonee Kumar Mondol Food and Agriculture Organization, Dhaka
Md. Zaheer Iqbal Bangladesh Forest Department
Mariam Akhter Bangladesh Forest Department
Henry Matieu Food and Agriculture Organization, Rome

DOI:

https://doi.org/10.36808/if/2021/v147i4/152964

Keywords:

Allometric Model, Bangladesh, Biomass, Hevea brasiliensis, Non-Destructive.

Abstract

Hevea brasiliensis MÃ¼ll. Arg. is exotic in Bangladesh and largescale plantation has been established under governmental and private sectors for the production of natural rubber to meet the domestic demand. This species can sequestrate higher carbon compared to other species due to its fast-growing nature. Further promotion of this species is expecting in near future for both the economic and environmental benefits as a mitigation measure of climate change consequences. Allometric biomass models are important to estimate the biomass and carbon stocking. A non-destructive method was adopted to derive the allometric biomass models for H. brasiliensis in Bangladesh. The stem volume of 583 individuals of H. brasiliensis trees and biomass expansion factor (BEF) were used to estimate the total above-ground biomass (TAGB). A total of four allometric equations with natural logarithm were tested to derive best-fit biomass models for stem and TAGB. While five models were tested to derive the model of Biomass Expansion Factor (BEF). BEF = 24.872 * D^-0.765 was selected as the best-fit model of BEF. However, allometric models for stem and total above-ground biomass were Ln (Stem biomass) = -2.476+ 1.655*Ln (D) + 0. 746*Ln (H) and Ln (TAGB) = 0.738 + 0.890*Ln(D) + 0.746*Ln(H) respectively. The best-fit TAGB model showed the highest efficiency in biomass estimation compared to commonly used regional, pan-tropical, and species-specific biomass models in terms of model prediction error (MPE), model efficiency (ME).

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