Allometric relationship for estimating above-ground biomass of Aegialitis rotundifolia Roxb. of Sundarbans mangrove forest, in Bangladesh |
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| Authors: | Mohammad Raqibul Hasan Siddique Mahmood Hossain Md Rezaul Karim Chowdhury |
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| Institution: | Mohammad Raqibul Hasan Siddique · Mahmood Hossain Md. Rezaul Karim Chowdhury Forestry and Wood Technology Discipline,Khulna University, Khulna-9208, Bangladesh. |
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| Abstract: | Tree biomass plays a key role in sustainable management by providing different aspects of ecosystem. Estimation of above ground
biomass by non-destructive means requires the development of allometric equations. Most researchers used DBH (diameter at
breast height) and T
H
(total height) to develop allometric equation for a tree. Very few species-specific allometric equations are currently available
for shrubs to estimate of biomass from measured plant attributes. Therefore, we used some of readily measurable variables
to develop allometric equations such as girth at collar-height (G
CH) and height of girth measuring point (G
MH) with total height (T
H) for A. rotundifolia, a mangrove species of Sundarbans of Bangladesh, as it is too dwarf to take DBH and too irregular in base to take Girth at
a fixed height. Linear, non-linear and logarithmic regression techniques were tried to determine the best regression model
to estimate the above-ground biomass of stem, branch and leaf. A total of 186 regression equations were generated from the
combination of independent variables. Best fit regression equations were determined by examining co-efficient of determination
(R
2), co-efficient of variation (C
V), mean-square of the error (M
Serror), residual mean error (R
sme), and F-value. Multiple linear regression models showed more efficient over other types of regression equation. The performance of
regression equations was increased by inclusion of G
MH
as an independent variable along with total height and G
CH
. |
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| Keywords: | Aegialitis rotundifolia allometry biomass mangroves sundarbans |
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