Abstract:
Eucalyptus grandis is an important timber species in plantation forestry in Sri Lanka. E.
grandis was selected for this study, assuming that maintaining of E. grandis plantations for
carbon trading projects would provide an additional market value for this species with the
current interest on global climate change mitigation, as forest plantations play an important
role in carbon sequestration and carbon trading. However, there is no proper mechanism
to estimate the amount of sequestered carbon in E. grandis stems. The primary objective
of this study was to construct a precise model to predict stem carbon content of E. grandis
individuals with the intention of calculating the value addition for E. grandis timber. To
collect data, four study sites were selected from Nuwara Eliya (Kandapola and
Bogawanthalawa), Badulla (Haputhale) and Ratnapura (Pinnawala) Districts to represent
upcountry, intermediate zone and wet zone where E. grandis is confined to. Each plantation
was divided into three strata and a 0.05 ha circular sample plot was laid out in each stratum.
Each individual in the plot was measured for total tree height, canopy height and diameter
at breast height. Plantation age was recorded from FORDATA database of Forest
Department of Sri Lanka. Core sample from the stem at breast height was extracted and
carbon content was calculated using loss-on-ignition method by oven-drying at 105 oC and
igniting at 450 oC. The carbon content in the stem was estimated by aggregating this value.
Simple linear regression method was used in model construction using MINITAB statistical
package. The selected explanatory variables for the model construction were tree diameter
at breast height (DBH) and total tree height (TTH) of individuals. The constructed model to
predict stem carbon content of Eucalyptus grandis is;
log Carbon content of the stem = - 2.88 + 2.19 log DBH + 1.40 log TTH
The final model is able to predict the stem carbon content of E. grandis up to 98% reliability.
According to model validation, the model could be used in the real world. Results of
comparison of actual, predicted and assumed carbon content showed that there is a
significant difference between the three methods (P=0.001). The assumed carbon content,
obtained assuming 50% of the biomass is carbon, is significantly different from actual
carbon content obtained by laboratory experiment and predicted carbon content, obtained
by the constructed model. However, there is no significant difference between actual
carbon content and carbon content predicted using the model. A majority (86%) of the
collected samples contained a greater stem carbon content than the assumption that 50%
of the biomass is carbon. These results indicate that use of the constructed model to predict
stem carbon content of E. grandis will provide more precise results than the 50%
