Volume Equation and Table for Heritiera fomes (Buch.-Ham.) of the Sundarbans, Bangladesh
DOI:
https://doi.org/10.36808/if/2019/v145i8/147123Keywords:
Allometry, Heritiera fomes, Mangroves, Sundarbans, Volume Model.Abstract
The Sundarbans mangrove forest is the single largest tract of mangrove forest in the world. Heritiera fomes (Buch.-Ham.) is the dominant species that covers 65% of the total merchantable timber of the Sundarbans. The objective of this study was to derive total volume (under bark) allometric model and volume table for H. fomes of the Sundarbans. Five allometric volume equations were tested to derive the allometric volume model. The best fit model was selected based on lowest value of Akaike Information Criterion (AIC), Residual Standard Error (RSE) and highest value of Coefficient of Determination (R2) and Akaike Information Criterion Weighted (AICw). The best fit volume model showed lowest values of AIC (12.1821), RSE (0.2485) and highest value of adjusted R2 (0.966) and AICw (0.7242) compared to the other models. The best fit model showed lower model prediction error (5 to 7%) and highest (0.864 to 0.988) values of model efficiency compared to the previous volume models of H. fomes for the Sundarbans. Finally, Ln (Vol) = -9.900593 + 0.9621471Ln (DΛ2H) has appeared as best volume model compared to the previous models for H. fomes of the Sundarbans.References
Birigazzi l. (2015). Toward a transparent and consistent quality control procedure for tree biomass allometric equation. XII World Forestry Congress, Durban, South Africa. 7-11 September 2015.
Canonizado J.A. and Hossain M.A. (1998). Integrated forest management plan for the Sundarbans Reserved Forest (Final Draft). Mandala Agricultural Development Corporation and Forest Department, Ministry of Environment and Forest, Bangladesh.
Chaffey D.R., Miller F.R. and Sandom J.H. (1985). A forest inventory of the Sundarbans, Bangladesh. Project report 140, Overseas Development Administration, Land Resources Development Centre, England.
Chave J., Andalo C., Brown S., Cairns M.A., Chambers J.Q., Eamus D., Folster H., Fromard F., Higuchi N., Kira T., Lescure J.P., Nelson B.W., Ogawa H., Puig H., Riera B. and Yamakura T. (2005). Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia, 145: 87-99.
Clough B.F. (1992). Primary productivity and growth of mangrove forests. In: Tropical Mangrove Ecosystem, Coastal and Estuarine Studies 41 (A.I. Robertson, D.M. Alongi, Eds.), American Geophysical Union, Washington DC, 225-250 pp.
Ebuy J., Lokombe J.P., Ponette Q., Sonwa D. and Picard N. (2011). Allometric equation for predicting aboveground biomass of three tree species. J. Tropical Forest Science, 23(2): 125-132.
Forestal (1960). Forest Inventory 1958-1959, Sundarbans Forest. Volume 1: Report and Appendices. Pakistan Industrial Development Corporation, Khulna News Print.
Henry M., Picard N., Trotta C., Manlay R.J., Valentini R., Bernoux M. and Saint-André L. (2011). Estimating tree biomass of sub-Saharan African forests: a review of available allometric equations. Silva Fennica, 45(3B): 477-569.
Hussain Z. and Acharya G. (1994). Mangroves of the Sundarbans, Volume Two: Bangladesh. IUCN-The World Conservation Union. Dyna Print, Bangkok, Thailand Iftekhar M.S. and Islam M.R. (2004). Managing Mangroves in Bangladesh: A Strategy Analysis. Journal of Coastal Conservation, 10: 139-146
Kebede B. and Soromessa T. (2018). Allometric equations for aboveground biomass estimation of Oleaeuropaea L. subsp. Cuspidata in Mana Angetu Forest. Ecosystem Health and Sustainability, 4(1): 1-12.
Kingston B. (1979). A collation of tree and bamboo volume tables of Bangladesh. Field Document no 15, Food and Agricultural Organization of the United Nations, UNDP/FAO Project BGD/72/005, Forest Research Institute, Chittagong.
Kristensen E., Bouillon S., Dittmar T. and March C. (2008). Organic carbon dynamics in mangrove ecosystems: a review. Aquatic Botany, 89: 201-219.
Latif M.A., Islam M.S. and Islam S.M.Z. (2000). Volume tables for Sissoo, Koroi, Akashmoni, Babla, Mahogany, and Rain tree planted on embankments and road sides in the coastal areas of Bangladesh. Bulletin 9, Forest Inventory Series, Bangladesh Forest Research Institute, Chittagong.
Mahmood H. (2015). Handbook of selected plant species of the Sundarbans and the embankment ecosystem. Sustainable Development and Biodiversity Conservation in Coastal Protection Forests, Bangladesh (SDBCSundarbans), Deutsche Gesellschaftfür Internationale Zusammenarbeit (GIZ) GmbH, Dhaka.
Mahmood H., Siddique M.R.H. and Akhter M. (2016a). 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 doi:10.1088/1755-1315/39/1/012057
Mahmood H., Saha C., Abdullah S.M.R., Saha S. and Siddique M.R.H. (2016b). Allometric biomass, nutrient and carbon stock models for Kandelia candel of the Sundarbans, Bangladesh. Trees, 30 (3): 709-717.
Mahmood H., Sanjoy S., Serajis S., Abdullah S.M.R., Siddique M.R.H. and Kandelia candel Abdullah S.M.R. (2014). Salinity influence on germination of four important mangrove species of the Sundarbans, Bangladesh. Agriculture and Forestry, 60(2): 125-135.
Mahmood H., Siddique M.R.H.S., Abdullah S.M.R., Akhter M. and Islam S.M.Z. (2017). Manual for building tree volume and biomass allometric equation for Bangladesh. Bangladesh Forest Department, Dhaka.
Mayer D. and Butler D. (1993). Statistical validation. Ecological Modeling, 68 (1): 21-32.
Nam V.T., van Kuijk M. and Anten N.P.R. (2016). Allometric Equations for Aboveground and Belowground Biomass Estimations in an Evergreen Forest in Vietnam. PLoS ONE, 11(6): e0156827.
Nasrin S., Mahmood H., Abdullah S.M.R., Alam M.R., Saha S. and Siddique M.R.H. (2016). Salinity influence on survival, growth and nutrient distribution in different parts of Millettia pinnata (L.) Panigrahi seedlings. Agriculture and Forestry, 62 (4): 161-173. doi: 10.17707/AgricultForest.62.4.19
Nelson B.W., Mesquita R., Pereira J.L.G., Souza S.G.A.D., Batista G.T. and Couto L.B. (1999). Allometric regressions for improved estimate of secondary forest biomass in the central Amazon. Forest Ecology and Management, 117: 149-167.
Picard N., Saint-André L. and Henry M. (2012). Manual for building tree volume and biomass allometric equations: from field measurement to prediction. Food and Agricultural Organization of the United Nations, Rome, and Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Montpellier.
Revilla J.A.V., Ahmed I.U. and Hossain A. (1998). Forest Inventory of the Sundarbans Reserved Forest, Final Report, Volume 1. Mandala Agricultural Development Corporation and Forest Department, Ministry of Environment and Forests, Dhaka, Bangladesh
Siddiqi N.A. (2001). Mangrove Forestry in Bangladesh. Institute of Forestry & Environmental Science, University of Chittagong, Chittagong
Sileshi G.W. (2014). A critical review of forest biomass estimation models, common mistakes and corrective measures. Forest Ecology and Management, 329: 237-254.
Sprugel D.G. (1983). Correcting for bias in log-transformed allometric equations. Ecology, 64(1): 209-210.
Zar J.H. (1996). Biostatistical analysis. Third Edition, Prentice Hall, Englewood Cliffs, New Jersey, USA.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Unless otherwise stated, copyright or similar rights in all materials presented on the site, including graphical images, are owned by Indian Forester.
