Attempts of Modelling Forest Tree Volume and Biomass in Sri Lanka

Attempts of Modelling Forest Tree Volume and Biomass in Sri Lanka

Authors

  •   S. M. C. U. P. Subasinghe   Department of Forestry and Environmental Science, University of Sri Jayewardenepura, Nugegoda

DOI:

https://doi.org/10.36808/if/2016/v142i1/87180

Keywords:

Modelling Forest, Tree Volume, Biomass, Sri Lanka.

Abstract

Modelling forest tree volumehas a long history due to its importance in forest management decision making. However, tree biomass prediction become more popular recently because it has a strong relationship with carbon sequestration. Over the years, numerous attempts were made to construct allometric models in predicting tree volume and biomass in Sri Lanka for different forest species. Volume and biomass estimation in forest trees in Sri Lanka can be divided into four main types, i.e., (i) use of specific models built for the target species, (ii) use of models originally built for different tree species from the target once, (iii) use of common/universal conversions and (iv) use of remote sensing related studies. The first three types, however, became more common because mainly remote sensing studies do not facilitate the biomass estimation at the tree level. Details of tree volume and biomass prediction models constructed for Eucalyptus grandis, E. torelliana, E. microcorys, Tectona grandis, Pinus caribaea, Khaya senegalensis and Alstonia macrophylla are discussed in this paper. Moreover, it discusses the result of a study conducted in a wet zone natural forest to predict species-specific individual tree biomass using diameter as the only explanatory variable. Finally it elaborates the issues faced in developing allometric equations in Sri Lanka.

References

Amaro A., Reed D. and Soares P. (2003). Modelling forest systems. CABI Publishing, CAB International, Wallingford, UK.

Bandaratillake H.M. (1998). Administration report of the Conservator of Forests of Sri Lanka for the year 1998, Forest Department, Sri Lanka.

Burkhart H.E. (2003). Suggestions for choosing and appropriate level for modelling forest stands. In A. Amaro, D. Reed and P. Soares (eds.) Modelling forest systems. CABI Publishing, CAB International, Wallingford, UK, pp 3-10.

Forest inventory manual for Sri Lanka (1996). Forest Department, Sri Lanka.

Garcia-Gonzalo J., Peltola H., Briceno-Elizondo E. and Kellomaki S. (2007). Changed thinning regimes may increase carbon stock under climate change: A case study from a Finnish boreal forest. Climatic Change, 81: 431–454.

Hauhs M., Knauft F.J. and Lange, H. (2003). Algorithmic and interactive approaches to stand growth modelling. In A. Amaro, D. Reed and P. Soares (eds.) Modelling forest systems. CABI Publishing, CAB International, Wallingford, UK, pp 51-62. http://www.carbonfix.info/: Accessed on 22nd April, 2014

Johnsen K., Samuelson L., Teskey R., McNulty S. and Fox T. (2001). Process-based models as tools in forestry research and management. Forest Science, 47: 2-7.

Ketterings Q.M., Coe R., van Noordwijk M., Ambagau Y. and Palm C.A. (2001). Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests. Forest Ecology and Management, 146: 199–209.

Knowe S.A., Ahrens G.R. and DeBell D.S. (1997). Comparison of diameter distribution prediction, stand-table projection and individual tree growth modelling approaches for young red alder plantations. Forest Ecology and Management, 98: 49-60.

Kumara P.G.A.L. (2014). Site classification and construction of yield table for Eucalyptus microcorys in Nuwara Eliya district. MSc Dissertation, Department of Forestry and Environmental Science, University of Sri Jayewardenepura, Sri Lanka.

Miksys V., Varnagiryte-Kabasinskienea I., Stupak I., Armolaitisa K., Kukkola M. and Wojcik, J. (2007). Above-ground biomass functions for Scots pine in Lithuania. Biomass and Bioenergy, 35:685-691.

Ottorini J., Goff N.L. and Cluzeau C. (1996). Relationships between crown dimensions and stem development in Fraxinus excelsior. Canadian Journal of Forestry Research, 26: 394-401.

Paul K., Polglase P., Snowdon P., Theiveyanahan T., Raison J., Grove T. and Ranc S. (2006). Calibration and uncertainty analysis of a carbon accounting model to stem wood density and partitioning of biomass for Eucalyptus globules and Pinus radiata. New Forests, 31: 513–533.

Rathnaseaka R.M.P. (2005). Estimation of the change of above ground carbon with age for Tectona grandis plantations. BSc Dissertation, Department of Forestry and Environmental Science, University of Sri Jayewardenepura, Sri Lanka.

FSMP (1995). Sri Lanka Forestry Sector Master Plan, Ministry of Environment and Natural Resources, Sri Lanka.

St. Clair J.B. (1993). Family differences in equations for predicting biomass and leaf area in Douglas fir (Pseudotsuga menziesii var. menziesii). Forest Science, 39:743–755.

Subasinghe S.M.C.U.P. (2006). Construction of a growth model to predict the individual stem volume of Tectona grandis L.f. (teak) in Sri th Lanka. Proceedings of 11th International Forestry and Environment Symposium, University of Sri Jayewardenepura, Sri Lanka.

Subasinghe S.M.C.U.P. (2010). Prediction of stem volume of Alstonia macrophylla growing as even-aged monocultures using diameter at th breast height and total height. Proceedings of the 15 International Annual Forestry and Environment Symposium, University of Sri Jayewardenepura, Sri Lanka.

Subasinghe, S.M.C.U.P. (2013). Variation of above ground biomass and total carbon with age for Eucalyptus grandis Hill ex Maiden in Sri Lanka. Research Report, University of Sri Jayewardenepura, Sri Lanka.

Subasinghe S.M.C.U.P. and Haripriya A.M.R. (2014). Prediction of stem biomass of Pinus caribaea growing in the low country wet zone of Sri Lanka. Journal of Tropical Forestry and Environment,4(01): 40-49.

Subasinghe S.M.C.U.P. and Munasinghe G.B. (2011). Estimation of above ground tree biomass and carbon of Pinus caribaea (Morelet). Journal of Tropical Forestry and Environment, 01(01): 56-70.

Thirunadarajah M. (2006). Construction of a complete yield table for Eucalyptus torelliana using height – age relationships. MSc Dissertation, Department of Forestry and Environmental Science, University of Sri Jayewardenepura, Sri Lanka.

Vanclay J.K. (1994). Modelling forest growth and yield: Application to mixed tropical forests. CAB International, Wallingford, UK.

Welivita I. and Subasinghe S.M.C.U.P. (2006). Predication of above ground individual tree biomass using diameter as the single parameter. Proceedings of the 11th International Annual Forestry and Environment Symposium, University of Sri Jayewardenepura, Sri Lanka.

Xiao C. and Ceulemans R. (2004). Allometric relationships for below- and aboveground biomass of young Scots pines. Forest Ecology and Management, 203: 177-186.

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Published

2016-01-01

How to Cite

Subasinghe, S. M. C. U. P. (2016). Attempts of Modelling Forest Tree Volume and Biomass in Sri Lanka. Indian Forester, 142(1), 68–74. https://doi.org/10.36808/if/2016/v142i1/87180
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