Semi-destructive method to derive allometric aboveground biomass model for village forest of Bangladesh: comparison of regional and pantropical models

S. M. R. Abdullah, . and M. R. H. Siddique, . and H. Matieu, . and Iqbal M. Z., . and H. Mahmood, . and M. Akhter, . and S. M. Z. Islam, . Semi-destructive method to derive allometric aboveground biomass model for village forest of Bangladesh: comparison of regional and pantropical models. pp. 246-256. ISSN  0128-1283

Pan-tropical biomass models were developed for natural and plantation forests which cover a wide range of geographical areas and tree species. Tree architecture of a species significantly varies among plantations and natural forests as well as village forests or homestead areas. Tree architecture has a significant influence on biomass estimation in allometric models. Therefore it was hypothesised that pan-tropical biomass models may not be able to address the desired accuracy in biomass estimation for village forests. The objective of this study was to derive a common allometric above-ground biomass model for a village forest in Bangladesh and to compare the efficiency of the derived model with frequently used pan-tropical models. This study adopteda semi-destructive method where the biomass of individual sampled trees was derived from stem volume wood density and biomass expansion factor. Eight linear models natural logarithm(Ln) transformed were used to derive the best-fit allometric biomass model. In comparison with the best-fit model the frequently used pan-tropical models showed significant estimation of total above-ground biomass (TAGB). Therefore the derived model for the village forest showed higher capacity to reduce uncertainty in biomass estimation compared to pan-tropical models. This finding may restrict the indiscriminate use of pan-tropical models without checking their accuracy towards a particular forest type and species.

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Abstract

Pan-tropical biomass models were developed for natural and plantation forests which cover a wide range of geographical areas and tree species. Tree architecture of a species significantly varies among plantations and natural forests as well as village forests or homestead areas. Tree architecture has a significant influence on biomass estimation in allometric models. Therefore it was hypothesised that pan-tropical biomass models may not be able to address the desired accuracy in biomass estimation for village forests. The objective of this study was to derive a common allometric above-ground biomass model for a village forest in Bangladesh and to compare the efficiency of the derived model with frequently used pan-tropical models. This study adopteda semi-destructive method where the biomass of individual sampled trees was derived from stem volume wood density and biomass expansion factor. Eight linear models natural logarithm(Ln) transformed were used to derive the best-fit allometric biomass model. In comparison with the best-fit model the frequently used pan-tropical models showed significant estimation of total above-ground biomass (TAGB). Therefore the derived model for the village forest showed higher capacity to reduce uncertainty in biomass estimation compared to pan-tropical models. This finding may restrict the indiscriminate use of pan-tropical models without checking their accuracy towards a particular forest type and species.

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Item Type:	Article
AGROVOC Term:	Allometry
AGROVOC Term:	Aboveground parts
AGROVOC Term:	Biomass
AGROVOC Term:	Villages
AGROVOC Term:	Forest plantations
AGROVOC Term:	Natural forests
AGROVOC Term:	Albizia
AGROVOC Term:	Artocarpus heterophyllus
AGROVOC Term:	Mangifera indica
AGROVOC Term:	Swietenia macrophylla
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:54
URI:	http://webagris.upm.edu.my/id/eprint/9095

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