Calibration and Uncertainty Analysis of a Carbon Accounting Model to Stem Wood Density and Partitioning of Biomass for Eucalyptus globulus and Pinus Radiata |
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| Authors: | Keryn Paul Phil Polglase Peter Snowdon Tivi Theiveyanathan John Raison Tim Grove Stan Rance |
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| Institution: | (1) CSIRO Forestry and Forest Products, Ensis, PO Box E4008, Kingston, ACT 2604, Australia;(2) CSIRO Forestry and Forest Products, Ensis, PO Box 5, Wembley, WA 6913, Australia |
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| Abstract: | There is a need to calibrate models for carbon accounting in forest systems if they are to be applied for carbon trading and
off-set schemes. One such model, Full Carbon Accounting Model (FullCAM), calculates stem mass by taking annual inputs of tree
growth in stem volume and multiplying these by basic stem wood density. Stem mass is then multiplied by user-entered coefficients
to determine the mass of other tree components. Using datasets of Pinus radiata and Eucalyptus globulus that comprised of between 73 and 187 observations, we determined empirical relationships that can be used in FullCAM to relate
basic stem wood density to stand age, and masses of bark, foliage or branches to mass of stem wood for these two species.
All fitted relationships were highly significant (p < 0.001), explaining between 35 and 89% of the variance. These calibrations were then tested using three case studies where
data on volume yield curves and repeated measures of biomass of stand components were available: one of P. radiata and two of E. globulus. Although accumulation of biomass in foliage and branches were not well predicted by the model, sensitivity analysis showed
that this was relatively unimportant to total carbon storage because of the dominance of the stem, particularly once the stand
is older than 5 years. Indeed, FullCAM accounted for 99% of the variance in measured above-ground biomass at all three sites
because calibrations for the mass of stem was reasonably well constrained. Uncertainty analysis showed that despite the standard
errors of parameters used in relationships for basic density and biomass partitioning, and for estimates of carbon contents
of tree components, we can be 95% confident that sequestration of carbon in trees and debris of Pinus radiata and Eucalyptus globulus plantations are, on average, within 13% of that predicted by FullCAM.
Ensis is a joint venture between CSIRO FFP P/L and Scion Australasia P/L |
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| Keywords: | CAMFor FullCAM Modelling Sensitivity analysis Sequestration |
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