Allometric models for estimating biomass, carbon and nutrient stock in the Sal zone of Bangladesh

doi:10.3832/ifor2758-011

Allometric models for estimating biomass, carbon and nutrient stock in the Sal zone of Bangladesh

Hossain Mahmood⁽¹⁾ , Mohammad RH Siddique⁽¹⁾, Liam Costello⁽²⁾, Luca Birigazzi⁽³⁾, SM Rubaiot Abdullah⁽¹⁾, Matieu Henry⁽³⁾, Baktiar Nur Siddiqui⁽⁴⁾, Tariq Aziz⁽⁴⁾, Sayed Ali⁽⁴⁾, Abdullah Al Mamun⁽⁴⁾, Mofizul IK Forhad⁽⁵⁾, Mariam Akhter^(4-6), Zaheer Iqbal⁽⁴⁾, Falgoonee Kumar Mondol⁽⁶⁾

iForest - Biogeosciences and Forestry, Volume 12, Issue 1, Pages 69-75 (2019)
doi: https://doi.org/10.3832/ifor2758-011
Published: Jan 24, 2019 - Copyright © 2019 SISEF

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Allometric models are commonly used to estimate biomass, nutrients and carbon stocks in trees, and contribute to an understanding of forest status and resource dynamics. The selection of appropriate and robust models, therefore, have considerable influence on the accuracy of estimates obtained. Allometric models can be developed for individual species or to represent a community or bioregion. In Bangladesh, the nation forest inventory classifies tree and forest resources into five zones (Sal, Hill, Coastal, Sundarbans and Village), based on their floristic composition and soil type. This study has developed allometric biomass models for multi-species of the Sal zone. The forest of Sal zone is dominated by Shorea robusta Roth. The study also investigates the concentrations of Nitrogen, Phosphorus, Potassium and Carbon in different tree components. A total of 161 individual trees from 20 different species were harvested across a range of tree size classes. Diameter at breast height (DBH), total height (H) and wood density (WD) were considered as predictor variables, while total above-ground biomass (TAGB), stem, bark, branch and leaf biomass were the output variables of the allometric models. The best fit allometric biomass model for TAGB, stem, bark, branch and leaf were: ln (TAGB) = -2.460 + 2.171 ln (DBH) + 0.367 ln (H) + 0.161 ln (WD); ln (Stem) = -3.373 + 1.934 ln (DBH) + 0.833 ln (H) + 0.452 ln (WD); ln (Bark) = -5.87 + 2.103 ln (DBH) + 0.926 ln (H) + 0.587 ln (WD); ln (Branch) = -3.154 + 2.798 ln (DBH) - 0.729 ln (H) - 0.355 ln (WD); and ln (Leaf) = -4.713 + 2.066 ln (DBH), respectively. Nutrients and carbon concentration in tree components varied according to tree species and component. A comparison to frequently used regional and pan-tropical biomass models showed a wide range of model prediction error (35.48 to 85.51%) when the observed TAGB of sampled trees were compared with the estimated TAGB of the models developed in this study. The improved accuracy of the best fit model obtained in this study can therefore be used for more accurate estimation of TAGB and carbon and nutrients in TAGB for the Sal zone of Bangladesh.

Keywords

Common Model, Forest Inventory, Phytomass, Tropical Forest

Authors’ address

(1)

Forestry and Wood Technology Discipline, Khulna University, Khulna (Bangladesh)

(2)

School of Ecosystem and Forest Sciences, The University of Melbourne, Victoria 3010 (Australia)

(3)

Food and Agriculture Organization, Rome (Italy)

(4)

Bangladesh Forest Department, Dhaka (Bangladesh)

(5)

Bangladesh Forest Research Institute, Chittagong (Bangladesh)

(6)

Food and Agriculture Organization, Dhaka (Bangladesh)

Corresponding author

Hossain Mahmood
mahmoodhossain@hotmail.com

Citation

Mahmood H, Siddique MRH, Costello L, Birigazzi L, Abdullah SMR, Henry M, Siddiqui BN, Aziz T, Ali S, Al Mamun A, Forhad MIK, Akhter M, Iqbal Z, Mondol FK (2019). Allometric models for estimating biomass, carbon and nutrient stock in the Sal zone of Bangladesh. iForest 12: 69-75. - doi: 10.3832/ifor2758-011

Academic Editor

Tomás Vrska

Paper history

Received: Feb 10, 2018
Accepted: Nov 10, 2018

First online: Jan 24, 2019
Publication Date: Feb 28, 2019
Publication Time: 2.50 months

Open Access

This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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