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
, , ,
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
© SISEF - The Italian Society of Silviculture and Forest Ecology 2019
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.
Breakdown by View Type
(Waiting for server response...)
Article Usage
Total Article Views: 15536
(from publication date up to now)
Breakdown by View Type
HTML Page Views: 10276
Abstract Page Views: 1601
PDF Downloads: 2898
Citation/Reference Downloads: 9
XML Downloads: 752
Web Metrics
Days since publication: 2082
Overall contacts: 15536
Avg. contacts per week: 52.23
Article Citations
Article citations are based on data periodically collected from the Clarivate Web of Science web site
(last update: Nov 2020)
Total number of cites (since 2019): 5
Average cites per year: 2.50
Publication Metrics
by Dimensions ©
Articles citing this article
List of the papers citing this article based on CrossRef Cited-by.
(1)
Akhter M, Jalal R, Costello L, Rahman L, Tasnuva U (2016)Zoning for tree and forest assessment in Bangladesh. Bangladesh Forest Department and Food and Agricultural Organization of the United Nations, Dhaka, Bangladesh, pp. 36.
Gscholar
(2)
Allen SE (1989)Chemical analysis of ecological materials. Blackwell Scientific Publications, Oxford, UK, pp. 565.
Gscholar
(3)
Alvarez E, Rodríguez L, Duque A, Saldarriaga J, Cabrera K, De Las Salas G, Del Valle I, Lema A, Moreno F, Orrego S (2012)Tree above-ground biomass allometries for carbon stocks estimation in the natural forests of Colombia. Forest Ecology and Management 267: 297-308.
CrossRef |
Gscholar
(4)
Basuki TM, Van Laake PE, Skidmore AK, Hussin YA (2009)Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests. Forest Ecology and Management 257: 1684-1694.
CrossRef |
Gscholar
(5)
Beathgen WE, Alley MM (1989)A manual colorimetric procedure for measuring ammonium Nitrogen in soil and plant Kjeldahl digests. Soil Science and Plant Analysis 20 (9-10): 961-969.
CrossRef |
Gscholar
(6)
BFD (2016)Field instructions for the Bangladesh forest inventory. Bangladesh Forest Department (BFD) and Food and Agricultural Organization of the United Nations (FAO), Dhaka, Bangladesh, pp. 137.
Gscholar
(7)
Binkley D (1986)Forest nutrition management. John Wiley and Sons, New York, USA, pp. 290.
Online |
Gscholar
(8)
Brown S, Gillespie AJR, Lugo AE (1989)Biomass estimation method for tropical forests with applications to forest inventory data. Forest Science 35: 881-902.
Gscholar
(9)
Brown S, Lugo AE (1992)Above ground biomass estimates for tropical moist forests of the Brazilian Amazon. Interciencia 17: 8-18.
Gscholar
(10)
Brown S (1997)Estimating biomass and biomass change of tropical forests: a primer. FAO Forestry Paper no. 134, Rome, Italy, pp. 55.
Online |
Gscholar
(11)
Chave J, Andalo C, Brown S, Cairns MA, Chambers JQ, Eamus D, Fölster H, Fromard F, Higuchi N, Kira T, Lescure JP, Nelson BW, Ogawa H, Puig H, Riera B, Yamakura T (2005)Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia 145: 87-99.
CrossRef |
Gscholar
(12)
Chave J, Réjou-Méchain M, Búrquez A, Chidumayo E, Colgan MS, Delitti WB, Duque A, Eid T, Fearnside PM, Goodman RC, Henry M, Martínez-Yrízar A, Mugasha WA, Muller-Landau HC, Mencuccini M, Nelson BW, Ngomanda A, Nogueira EM, Ortiz-Malavassi E, Pélissier R, Ploton P, Ryan CM, Saldarriaga JG, Vieilledent G (2014)Improved allometric models to estimate the aboveground biomass of tropical trees. Global Change Biology 10 (10): 3177-3190.
CrossRef |
Gscholar
(13)
Djomo AN, Ibrahimab A, Saborowskic J, Gravenhorst G (2010)Allometric equations for biomass estimations in Cameroon and pan moist tropical equations including biomass data from Africa. Forest Ecology and Management 260: 1873-1885.
CrossRef |
Gscholar
(14)
FD (2007)National forest and tree resources assessment 2005-2007 Bangladesh. Bangladesh Forest Department (BFD), Dhaka, Bangladesh, pp. 118.
Gscholar
(15)
FD (2017)National and sub-national forest inventory. Web site.
Online |
Gscholar
(16)
Gibbs HK, Brown S, Niles JO, Foley JA (2007)Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environmental Research Letter 2: 1-13.
Online |
Gscholar
(17)
Hoque AE, Nazrul-Islam AKM, Imamul Huq SM (2008)Seasonal variation of edaphic features of Madhupur Sal forest, Bangladesh. Ecoprint 15: 7-14.
CrossRef |
Gscholar
(18)
Iftekhar MS, Saenger P (2008)Vegetation dynamics in the Bangladesh Sundarbans mangroves: a review of forest inventories. Wetlands Ecology and Management 6: 291-312.
CrossRef |
Gscholar
(19)
Islam KK, Sato N (2012)Deforestation, land conversion and illegal logging in Bangladesh: the case of the Sal (
Shorea robusta) forest. iForest 5: 171-178.
CrossRef |
Gscholar
(20)
Kenzo T, Furutani R, Hattori D, Kendawang JJ, Tanaka S, Sakurai K, Ninomiya I (2009)Allometric equations for accurate estimation of above-ground biomass in logged-over tropical rainforests in Sarawak, Malaysia. Journal of Forest Research 14: 365-372.
CrossRef |
Gscholar
(21)
Ketterings QM, Coe R, Noordwijk MV, Amagau Y, Palm CA (2001)Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forest. Forest Ecology and Management 146: 199-209.
CrossRef |
Gscholar
(22)
Koch B (2010)Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment. ISPRS Journal of Photogrammetry and Remote Sensing 65: 581-590.
CrossRef |
Gscholar
(23)
Komiyama A, Poungparn S, Kato S (2005)Common allometric equations for estimating the tree weight of mangroves. Journal of Tropical Ecology 21: 471-477.
CrossRef |
Gscholar
(24)
Kumar L, Mutanga O (2017)Remote sensing of above-ground biomass. Remote Sensing 9: 935.
CrossRef |
Gscholar
(25)
Litton CM (2008)Allometric models for predicting aboveground biomass in two widespread woody plants in Hawaii. Biotropica 40 (3): 313-320.
CrossRef |
Gscholar
(26)
Mahmood H (2004)Biomass, litter production and selected nutrients in
Bruguiera parviflora (Roxb.) Wight and Arn. dominated mangrove forest ecosystem at Kuala Selangor, Malaysia. PhD thesis, Biology Department, University Putra Malaysia, Serdang, Malaysia, pp. 333.
Online |
Gscholar
(27)
Mahmood H, Saberi O, Japar Sidik B, Misri K, Rajagopal S (2004)Allometric relationships for estimating above and below-ground biomass of saplings and trees of
Bruguiera parviflora (Wight and Arnold). Malaysian Applied Biology 33 (1): 37-45.
Gscholar
(28)
Mahmood H, Saberi O, Japar Sidik B, Misri K (2008)Net primary productivity of
Bruguiera parviflora (Wight and Arn.) dominated mangrove forest at Kuala Selangor, Malaysia. Forest Ecology and Management 255: 179-182.
CrossRef |
Gscholar
(29)
Mahmood H (2014)Carbon pools and fluxes in
Bruguiera parviflora dominated naturally growing mangrove forest of Peninsular Malaysia. Wetland Ecology and Management 22 (1): 15-23.
CrossRef |
Gscholar
(30)
Mahmood H, Siddique MRH, Saha S, Abdullah SMR (2015)Allometric models for biomass, nutrients and carbon stock in
Excoecaria agallocha of the Sundarbans, Bangladesh. Wetlands Ecology and Management 23 (4): 765-774.
CrossRef |
Gscholar
(31)
Mahmood H, Siddique MRH, Akhter M (2016)A critical review and database of biomass and volume allometric equation for trees and shrubs of Bangladesh. IOP Conference Series, Earth and Environmental Science 39: 012057.
CrossRef |
Gscholar
(32)
Manuri S, Brack C, Nugroho NP, Hergoualc’h K, Novita N, Dotzauer H, Verchot L, Putra CAS, Widyasari E (2014)Tree biomass equations for tropical peat swamp forest ecosystems in Indonesia. Forest Ecology and Management 334: 241-253.
CrossRef |
Gscholar
(33)
Marschner H (1995)Mineral nutrition of higher plants. Academic Press, New York, USA, pp. 889.
Gscholar
(34)
Maulana SI, Wibisono Y, Utomo S (2016)Development of local allometric equation to estimate total aboveground biomass in Papua tropical forest. Indonesian Journal of Forest Research 3 (2): 107-118.
CrossRef |
Gscholar
(35)
Mayer D, Butler D (1993)Statistical validation. Ecological Modeling 68 (1): 21-32.
CrossRef |
Gscholar
(36)
Murphy J, Riley JP (1962)A modified single solution method for the determination of phosphate in natural waters. Analytica Chimica Acta 27: 31-36.
CrossRef |
Gscholar
(37)
Nam VT, Van Kuijk M, Anten NPR (2016)Allometric equations for aboveground and belowground biomass estimations in an evergreen forest in Vietnam. PLoS ONE 11 (6): e0156827.
CrossRef |
Gscholar
(38)
Nelson BW, Mesquita R, Pereira JLG, Souza SGAD, Batista GT, Couto LB (1999)Allometric regressions for improved estimate of secondary forest biomass in the central Amazon. Forest Ecology and Management 117: 149-167.
CrossRef |
Gscholar
(39)
Ngomanda A, Engone Obiang NL, Lebamba J, Moundounga Mavouroulou Q, Gomat H, Mankou GS, Loumeto J, Midoko Iponga D, Kossi Ditsouga F, Zinga Koumba R (2014)Site-specific
versus pantropical allometric equations: which option to estimate the biomass of a moist central African forest? Forest Ecology and Management 312: 1-9.
CrossRef |
Gscholar
(40)
Picard N, Rutishauser E, Ploton P, Ngomanda A, Henry M (2015)Should tree biomass allometry be restricted to power models? Forest Ecology and Management 353: 156-163.
CrossRef |
Gscholar
(41)
Piñeiro G, Perelman S, Guerschman JP, Paruelo JM (2008)How to evaluate models: observed
vs. predicted or predicted
vs. observed. Ecological Modeling 216: 316-322.
CrossRef |
Gscholar
(42)
Rahman MM, Motiur MR, Guogang Z, Islam KS (2010)A review of the present threats to tropical moist deciduous Sal (
Shorea robusta) forest ecosystem of central Bangladesh. Tropical Conservation Science 3 (1): 90-102.
CrossRef |
Gscholar
(43)
Rahman MM, Khan MNI, Hoque AKF, Ahmed I (2015)Carbon stock in the Sundarbans mangrove forest: spatial variations in vegetation types and salinity zones. Wetlands Ecology and Management 23: 269-283.
CrossRef |
Gscholar
(44)
Sattar MA (1981)Some physical properties of 116 Bangladeshi timbers. Bulletin no. 7, Wood seasoning series, Forest Research Institute, Chittagong, Bangladesh, pp. 15.
Online |
Gscholar
(45)
Sileshi GW (2014)A critical review of forest biomass estimation models, common mistakes and corrective measures. Forest Ecology and Management 329: 237-254.
CrossRef |
Gscholar
(46)
Sprugel DG (1983)Correcting for bias in log-transformed allometric equations. Ecology 64 (1): 209-210.
CrossRef |
Gscholar
(47)
Van Breugel M, Ransijn J, Craven D, Bongers F, Hall JS (2011)Estimating carbon stock in secondary forests: decisions and uncertainties associated with allometric biomass models. Forest Ecology and Management 262: 1648-1657.
CrossRef |
Gscholar
(48)
Wagenmakers EJ, Farrell S (2004)AIC model selection using Akaike weights. Psychonomic Bulletin and Review 11 (1): 192-196.
CrossRef |
Gscholar