Abstract
Allometric relationships between easily measurable independent variables like diameter at breast height (DBH) and total height (TH) and biomass of leaf, branch, bark, stem without bark, and total above-ground biomass of Excoecaria agallocha L. were tested. Similarly, relationships between independent variables (DBH and HT); and nutrients (N, P and K) and carbon content in total above-ground biomass were also evaluated. The best fit allometric models were selected by considering the values of parameter of estimation of the models such as R2, CV, Rmse, MSerror, Sa, Sb, and Akaike’s information criterion corrected (AICc). The selected allometric models were Log Biomass = 0.9256 Log DBH2 − 2.133; Log biomass = 1.1656 Log DBH2 − 1.7047; Log biomass = 1.0824 Log DBH2 − 1.7568; Log biomass = 1.0927 Log DBH2 − 1.0275; Log biomass = 1.0996 Log DBH2 − 0.8572 respectively for leaf, branch, bark, stem without bark and total above-ground biomass. Whereas the selected allometric models for nitrogen, phosphorus, potassium and carbon were Log N = 1.0972 Log DBH2 − 3.0845; Log P = 1.0947 Log DBH2 − 5.6790; Log K = 1.0990 Log DBH2 − 3.0370; Log C = 1.1 Log DBH2 − 1.1937 respectively. Highest concentration of nitrogen (16.07 mg/g) and phosphorus (0.05 mg/g) was observed in leaf, while higher concentration (45.95–48.60 %) of carbon was observed in stem and bigger branches. The findings of this study are first-hand information for forest managers and conservation workers for sustainable management of E. agallocha in the Sundarbans of Bangladesh.
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References
Aksornkoae S, Khemnark C (1984) Nutrient cycling in mangrove forest of Thailand. In: Soepadmo E, Rao AN, Macintosh DJ (eds) Proceedings of the Asian symposium on mangrove environment research and management. University of Malaya, Kuala Lumpur, pp 545–557
Allen SE (1974) Chemical analysis of ecological materials. Blackwell Scientific, Oxford
Alongi DM (2002) Present state and future of the world’s mangrove forests. Environ Conserv 29(3):331–349
Binkley D (1986) Forest nutrition management. Wiley, New York
Chave J, Andalo C, Brown S, Cairns MA, Chambers JQ, Eamus D, Folster 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
Cienciala E, Černý M, Tatarinov F, Apltauer J, Exnerová Z (2006) Biomass functions applicable to Scots pine. Trees 20:483–495
Clough BF (1992) Tropical Mangrove ecosystem, coastal and estuarine studies 41. In: Robertson AI, Alongi DM (eds) Primary productivity and growth of mangrove forests. American Geophysical Union, Washington, pp 225–250
Clough BF, Scott K (1989) Allometric relationships for estimating above-ground biomass in six mangrove species. For Ecol Manag 27:117–127
Ellison AM, Mukherjee BB, Karim A (2000) Testing patterns of zonation in mangroves: scale dependence and environmental correlates in the Sundarbans of Bangladesh. J Ecol 88:813–824
Field CD (1995) Journey amongst mangroves. International Society of Mangrove Ecosystems, Japan
Golley BF, Mc Ginnis TJ, Clements GR, Child IG, Duever JM (1975) Mineral cycling in a tropical moist forest ecosystem. University of Georgia Press, Athens
Gong WK, Ong JE (1990) Plant biomass and nutrient flux in a managed Mangrove forest in Malaysia. Estuar Coast Shelf Sci 31:519–530
Hussain Z, Ahmed I (1994) Management of the forest resources. In: Hussain Z, Acharya G (eds) Mangroves of the Sundarbans, 2nd edn. IUCN, Bangkok
Islam SN, Gnauck A (2008) Mangrove wetland ecosystems in Ganges–Brahmaputra delta in Bangladesh. Front Earth Sci China 2(4):439–448
Kaakinen S, Jolkkonen A, Iivonen S, Vapaavuori E (2004) Growth, allocation and tissue chemistry of Picea abies seedlings affected by nutrient supply during the second growing season. Tree Physiol 24:707–719
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. For Ecol Manag 146:199–209
Komiyama A, Havanond S, Srisawatt W, Mochida Y, Fujimoto K, Ohnishi T, Ishihara S, Miyagi T (2000) Top/root biomass ratio of a secondary mangrove (Ceriops tagal (Perr.) C. B. Rob.) forest. For Ecol Manag 139:127–134
Komiyama A, Jintana V, Sangtiean T, Kato S (2002) A common allometric equation for predicting stem weight of mangroves growing in secondary forests. Ecol Res 17:415–418
Komiyama A, Poungparn S, Kato S (2005) Common allometric equations for estimating the tree weight of mangroves. J Trop Ecol 21:471–477
Komiyama A, Ong JE, Poungparn S (2008) Allometry, biomass, and productivity of mangrove forest: a review. Aquat Bot 89:128–137
Kozlowski TT, Kramer JP, Pallardy SG (1991) The physiological ecology of woody plants. Academic Press, San Diego
Mahmood H (2004) Biomass, Litter Production and Selected Nutrients in Bruguiera Parviflora (Roxb.) Wight & Arn. Dominated Mangrove Forest Ecosystem at Kuala Selangor, Malaysia. PhD thesis, University Putra Malaysia, Seri Kembangan, unpublished
Mahmood H (2014) Carbon pools and fluxes in Bruguiera parviflora dominated naturally growing mangrove forest of Peninsular Malaysia. Wetl Ecol Manag 22(1):15–23
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). Malays Appl Biol 33(1):37–45
Mahmood H, Misri K, Japar Sidik B, Saberi O (2005) Sediment accretion in a protected mangrove forest at Kuala Selangor. Malays Pak J Biol Sci 8(1):149–151
Mahmood H, Saberi O, Misri K, Japar Sidik B (2006) Seasonal variation in concentrations of N, P and K in different components of Bruguiera parviflora (Wight and Arnold) at three growth stages in Malaysia. Indian J For 29(2):149–155
Mahmood H, Saberi O, Japar Sidik B, Misri K (2008) Net primary productivity of Bruguiera parviflora (Wight & Arn.) dominated mangrove forest at Kuala Selangor Malaysia. For Ecol Manag 255:179–182
Mahmood H, Siddique MRH, Bose A, Limon SH, Saha S, Chowdhury MRK (2012) Allometry, above-ground biomass and nutrient distribution in Ceriops decandra (Griffith) Ding Hou dominated forest types of the Sundarbans mangrove forest, Bangladesh. Wetl Ecol Manag 20:539–548
Mazda Y, Magi M, Kogo M, Hong PN (1997) Mangroves as a coastal protection from waves in the Tong King Delta Vietnam. Mangrove Salt Marshes 1:127–135
Ong JE, Gong WK, Wong CH (1984) Seven years of productivity studies in a Malaysian managed mangrove forest, then what? In: Bardsley KN, Davie JDS, Woodroffe CD (eds) Coastal and tidal wetlands of the Australian monsoon region. Australian National University, Darwin, pp 213–223
Overman JPM, Witte HJL, Saldarriaga JG (1994) Evaluation of regression models for above ground biomass determination in Amazon rainforest. J Trop Ecol 10:207–218
Siddiqi NA (2001) Mangrove forestry in Bangladesh. University of Chittagong, Institute of Forestry & Environmental Science, Chittagong
Siddique MRH, Mahmood H, Chowdhury MRK (2012) Allometric relationship for estimating above-ground biomass of Aegialitis rotundifolia Roxb. of Sundarbans mangrove forest, in Bangladesh. J For Res 23(1):23–28
Soares MLG, Schaeffer-Novelli Y (2005) Above-ground biomass of mangrove species. I. Analysis of models. Estuar Coast Shelf Sci 65:1–18
Sprugel DG (1983) Correcting for bias in log-transformed allometric equations. Ecology 64(1):209–210
Steinke DT, Ward CJ, Rajh A (1995) Forest structure and biomass of mangroves in the Mgeni estuary, South Africa. Hydrobiologia 295:159–166
Tamai S, Nakasuga T, Tabuchi R, Ogino K (1986) Standing biomass of mangrove forests in southern Thailand. J Jpn Soc 68:384–388
Timothy RP, Carol ML (1984) A manual of chemical and biological methods for seawater analysis. Pergamon press, New York
Tomlinson PB (1986) The botany of mangroves. Cambridge University Press, Cambridge
Weatherburm MW (1967) Phenol-hypochlorite reaction for determination of ammonia. Anal Chem 39(8):971–974
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We are thankful to the Ministry of Science and Technology of Bangladesh for this research Grant. We are also indebted to Forestry and Wood Technology Discipline and Forest Department for their logistic support and continuous adherences.
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Hossain, M., Siddique, M.R.H., Saha, S. et al. Allometric models for biomass, nutrients and carbon stock in Excoecaria agallocha of the Sundarbans, Bangladesh. Wetlands Ecol Manage 23, 765–774 (2015). https://doi.org/10.1007/s11273-015-9419-1
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DOI: https://doi.org/10.1007/s11273-015-9419-1