Skip to main content

Advertisement

Log in

Allometric biomass, nutrient and carbon stock models for Kandelia candel of the Sundarbans, Bangladesh

  • Original Article
  • Published:
Trees Aims and scope Submit manuscript

Abstract

Key message

Present study recommends DBH as independent variable of the derived allometric models and Biomass = a + b DBH 2 has been selected for total above-ground biomass, nutrients and carbon stock.

Abstract

Kandelia candel (L.) Druce is a shrub to small tree of the Sundarbans mangrove forest of Bangladesh. The aim of the study was to derive the allometric models for estimating above-ground biomass, nutrient and carbon stock in K. candel. A total of eight linear models with 64 regression equations were tested to derive the allometric models for biomass of each part of plant; and nutrients and carbon stock in total above-ground biomass. The best fitted allometric models were selected by considering the values of R 2, CV, R mse, MSerror, S a, S b, F value, AICc and Furnival Index. The selected allometric models were Biomass = 0.014 DBH2 + 0.03; √Biomass = 0.29 DBH − 0.21; √Biomass = 0.66 √DBH − 0.57; √Biomass = 1.19 √DBH − 1.02; Biomass = 0.21 DBH2 + 0.12 for leaves, branches, bark, stem without bark and total above-ground biomass, respectively. The selected allometric models for Nitrogen, Phosphorous, Potassium and Carbon stock in total above-ground biomass were N = 0.39 DBH2 + 0.49, P = 0.77 DBH2 + 0.14, K = 0.87 DBH2 + 0.07 and C = 0.09 DBH2 + 0.05, respectively. The derived allometric models have included DBH as a single independent variable, which may give quick and accurate estimation of the above-ground biomass, nutrient and carbon stock in this species. This information may also contribute to a broader study of nutrient cycling, nutrient budgeting and carbon sequestration of the studied forest.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

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

    Google Scholar 

  • Alemayehu F, Richard O, James KM, Wasonga O (2014) Assessment of mangrove covers change and biomass in mida creek, Kenya. Open J For 4:398–413

    Google Scholar 

  • Allen SE (1989) Chemical analysis of ecological materials. Blackwell Scientific Publications, Oxford

    Google Scholar 

  • Alongi DM (2002) Present state and future of the world’s mangrove forests. Environ Conserv 29(3):331–349

    Article  Google Scholar 

  • Basuki TM, Van Laake PE, Skidmore AK, Hussin YA (2009) Allometric equations for estimating the above-ground biomass in tropical lowland dipterocarp forests. For Ecol Manage 257:1684–1694

    Article  Google Scholar 

  • Beathgen WE, Alley MM (1989) A manual colorimetric procedure for measuring ammonium nitrogen in soil and plant Kjeldahl digests. Soil Sci Plant Anal 20(9&10):961–969

    Article  Google Scholar 

  • Binkley D (1986) Forest nutrition management. Wiley, New York

    Google Scholar 

  • 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

    Article  CAS  PubMed  Google Scholar 

  • Chung-Wang X, Ceulemans R (2004) Allometric relationships for below- and aboveground biomass of young Scots pines. For Ecol Manage 203:177–186

    Article  Google Scholar 

  • Cienciala E, Černý M, Tatarinov F, Apltauer J, Exnerová Z (2006) Biomass functions applicable to Scots pine. Trees 20:483–495

    Article  Google Scholar 

  • Cintrón G, Schaeffer-Novelli Y (1984) Methods for studying mangrove structure. In: Snedaker SC, Snedaker JG (eds) The mangrove ecosystem: research methods. UNESCO, Bungay, p 251

    Google Scholar 

  • Clough BF (1992) Primary productivity and growth of mangrove forests. In: Robertson AI, Alongi DM (ed) Tropical mangrove ecosystem, coastal and estuarine studies 41, ed. American Geophysical Union, Washington DC, pp 225–250

  • Clough BF, Dixon P, Dalhaus O (1997) Allometric relationships for estimating biomass in multi-stemmed mangrove tress. Aust J Bot 45:1023–1031

    Article  Google Scholar 

  • Comley BWT, McGuinness KA (2005) Above- and below-ground biomass, and allometry of four common northern Australian mangroves. Aust J Bot 53:431–436

    Article  Google Scholar 

  • Cuc NTK, Ninomiya I (2007) Allometric relations for young Kandelia candel (L.) blanco plantation in Northern Vietnam. J Biol Sci 7(3):539–543

    Article  Google Scholar 

  • Das DK, Alam MK (2001) Trees of Bangladesh. Bangladesh Forest Research Institute, Chittagong

    Google Scholar 

  • Deshar R, Sharma S, Mouctar K, Min W, Hoque ATMR, Hagihara A (2012) Self-thinning exponents of partial organs in overcrowded mangrove Bruguiera gymnorrhiza stands, in Okinawa Island, Japan. For Ecol Manage 278:146–154

    Article  Google Scholar 

  • FAO (2003) State of forestry in Asia and Pacific 2003- status, changes and trends. Food and Agriculture Organization, Rome

    Google Scholar 

  • Field C (1995) Journeys amongst Mangroves. International Society for Mangrove Ecosystems. South China Printing Co., Okinawa

    Google Scholar 

  • Furnival GM (1961) An index for comparing equations used in constructing volume tables. For Sci 7:337–341

    Google Scholar 

  • Golley FB, Mcginnis JT, Clements RG, Child GI, Duever MJ (1975) Mineral cycling in a tropical moist forest ecosystem. Georgia University Press, Athens

    Google Scholar 

  • Hoque AKF, Datta DK (2005) The mangroves of Bangladesh. Int J Ecol Environ Sci 31(3):245–253

    Google Scholar 

  • Hoque ATMR, Sharma S, Hagihara A (2011) Above and belowground carbon acquisition of mangrove Kandelia obovate trees in Manko Wetland, Okinawa, Japan. Inter J Environ 1(1):7–13

    Google Scholar 

  • Hussain Z, Acharya G (1994) Mangroves of the Sundarbans. Volume two: Bangladesh. IUCN, Bangkok, Thailand

  • Ibrahima S (1995) Estimating branch wood biomass of a tropical hill forest stand. Biores Techchno 52(1):53–57

    Article  Google Scholar 

  • Jarayaman K (1999) A statistical manual for forestry research support programme for Asia and the Pacific. Food and Agriculture Organization of the United Nations. Regional office for Asia and the Pacific, Bangkok

  • 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

    Article  CAS  PubMed  Google Scholar 

  • Kairo JG, Bosire J, Langat J, Kirui B, Koedam N (2009) Allometry and biomass distribution in replanted mangrove plantations at Gazi Bay, Kenya. Aquat Conserv Mar Fresh Ecos 19:63–69

    Article  Google Scholar 

  • Ketterings QM, Noordwijk CMY, Ambagau R, Palm CA (2001) Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests. For Ecol Manage 146:199–209

    Article  Google Scholar 

  • Khan MNI, Suwa R, Hagihara A, Ogawa K (2005) Allometric relationships for estimating the above ground phytomass and leaf area of mangrove Kandelia candel (L.) Druce trees in the Manko Wetland, Okinawa Island, Japan. Trees 19:266–272

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Komiyama A, Poungparn S, Kato S (2005) Common allometric equations for estimating the tree weight of mangroves. J Trop Ecol 21:471–477

    Article  Google Scholar 

  • Komiyama A, Ong JE, Poungparn S (2008) Allometry, biomass, and productivity of mangrove forests: a review. Aquat Bot 89:128–137

    Article  Google Scholar 

  • Mahmood H (2004) Biomass, Litter Production and Selected Nutrients in Bruguiera Parviflora (Roxb.) Wight & Arn. Dominated Mangrove Forest Ecosystem at KualaSelangor, 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 Manage 22(1):15–23

    Article  Google Scholar 

  • 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). Malayan App Biol J 33(1):37–45

    Google Scholar 

  • Mahmood H, Misri K, Japar Sidik B, Saberi O (2005) Sediment accretion in a protected mangrove forest at Kuala Selangor, Malaysia. Pakistan J Biol Sci 8(1):149–151

    Article  Google Scholar 

  • 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

    Google Scholar 

  • 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 Manage 255:179–182

    Article  Google Scholar 

  • 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 Manage 20:539–548

    Article  Google Scholar 

  • Mahmood H, Siddique MRH, Saha S, Abdullah SMR (2015) Allometric models for biomass, nutrients and carbon stock in Excoecaria agallocha of the Sundarbans. Wetl Ecol Manage, Bangladesh. doi:10.1007/s11273-015-9419-1

    Google Scholar 

  • Mazda Y, Magi M, Kogo M, Hong PN (1997) Mangroves as a coastal protection from waves in the Tong King Delta, Vietnam. Mangro Salt Mars 1:127–135

    Article  Google Scholar 

  • Montès N, Gauquelin T, Badri W, Bertaudiere V, Zaoui EH (2000) A non-destructive method for estimating above-ground forest biomass in threatened woodlands. For Ecol Manage 130:37–46

    Article  Google Scholar 

  • Navár J (2009) Allometric equations for tree species and carbon stocks for forests of North western Mexico. For Ecol Manage 257:427–434

    Article  Google Scholar 

  • Nelson BW, Mesquita R, Pereira JLG, Aquino de Sauza SG, Batista GT et al (1999) Allometric regressions for improved estimate of secondary forest biomass in the Central Amazon. For Ecol Manage 117:149–167

    Article  Google Scholar 

  • 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, Australia, pp 213–223

    Google Scholar 

  • Ong JE, Gong WK, Wong CH (2004) Allometry and partitioning of the mangrove, Rhizophora apiculata. For Ecol Manage 188:395–408

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Parresol R (1999) Assessing tree and stand biomass: a review with examples and critical comparisons. For Sci 45:573–593

    Google Scholar 

  • Peichl M, Arain MA (2007) Allometry and partitioning of above- and below ground tree biomass in an age-sequence of white pine forests. For Ecol Manage 253:68–80

    Article  Google Scholar 

  • Saintilan N (1997) Above- and below-ground biomasses of two species of mangrove on the Hawkesbury River estuary, New South Wales. Mar Fresh Res 48:147–152

    Article  CAS  Google Scholar 

  • Sheue C, Liu H, Yong JWH (2003) Kandelia obovata (Rhizophoraceae), a new mangrove species from Eastern Asia. Taxon 52:287–294

    Article  Google Scholar 

  • Siddiqi NA (2001) Mangrove Forestry in Bangladesh. Institute of Forestry, University of Chittagong, Bangladesh

    Google Scholar 

  • 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

    Article  Google Scholar 

  • Slim FJ, Gwada P (1993) Primary producers of the mangrove vegetation. In: Woitchik AF (ed) Dynamics and assessment of kenyan mangrove ecosystems: final report. Free University of Brussels, Belgium-Kenya Marine and Fisheries Research Institute, TS 2-0240-C, pp 6–34

  • Smith TJ III, Whelan KRT (2006) Development of allometric relations for three mangrove species in South Florida for use in the Greater Everglades Ecosystem restoration. Wetl Ecol Manage 14:409–419

    Article  Google Scholar 

  • Soares MLG, Schaeffer-Novelli Y (2005) Above-ground biomass of mangrove species. I. Analysis of models. Estuar Coast Shelf Sci 65:1–18

    Article  Google Scholar 

  • Spalding M, Kainuma M, Collins L (2010) World atlas of mangroves. Earthscan, London

    Google Scholar 

  • Steinke TD, Ward CJ, Rajh A (1995) Forest structure and biomass of mangroves in the Mgeni estuary, South Africa. Hydrobiologia 295:159–166

    Article  Google Scholar 

  • Suwa R, Analuddin K, Khan MNI, Hagihara A (2008) Structure and productivity along a tree height gradient in a Kandelia obovata mangrove forest in the Manko Wetland, Okinawa Island, Japan. Wetl Ecol Manage 16:331–343

    Article  Google Scholar 

  • Tam NFY, Wong YS, Lan CY, Chen GZ (1995) Community structure and standing crop biomass of a mangrove forest in Futian Nature Reserve, Shenzhen, China. Hydrobiologia 295:193–201

    Article  Google Scholar 

  • Tausch RJ, Tueller PT (1988) Comparison of regression methods for predicting singleleaf pinyon phytomass. Great Basin Nat 48:39–45

    Google Scholar 

  • Timothy RP, Yoshiaki M, Carol ML (1984) A manual of chemical and biological methods for seawater analysis. Pergamon press

  • West PW, Wells KF (1990) Estimation of leaf weight of standing trees of Eucalyptus regnans. Canadian J For Res 20(11):1732–1738

    Article  Google Scholar 

  • Xiao CW, Ceulemans R (2004) Allometric relationships for below- and above-ground biomass of young Scots pines. For Ecol Manage 203:177–186

    Article  Google Scholar 

  • Zar JH (1996) Biostatistical analysis. Prentice Hall, Upper Saddle River

    Google Scholar 

Download references

Acknowledgments

We are thankful to Forestry and Wood Technology Discipline, Khulna University and Forest Department, Bangladesh for their logistic support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mahmood Hossain.

Ethics declarations

Conflict of interest

There is no conflict of interest.

Additional information

Communicated by E. Priesack.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hossain, M., Saha, C., Rubaiot Abdullah, S.M. et al. Allometric biomass, nutrient and carbon stock models for Kandelia candel of the Sundarbans, Bangladesh. Trees 30, 709–717 (2016). https://doi.org/10.1007/s00468-015-1314-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00468-015-1314-0

Keywords

Navigation