Carbon Stock Assessment at a Regional Level, on Pure and Mixed Stands, Based on Inventory Data: A Case Study
Teresa Fidalgo Fonseca, Carlos Pacheco Marques
DOI: 10.4236/ojf.2011.11002   PDF   HTML     6,581 Downloads   12,784 Views   Citations


Following Kyoto protocol considerable research efforts have been made on carbon sequestration assessment of forest stands. The aim of the present study was to test the adequacy of two documented methodologies to obtain stand level dry biomass and carbon estimates, considering its application at regional scale, for pure and mixed stands. The procedures refer to: 1) the estimation of dry biomass through the use of tree biomass models and 2) the use of biomass conversion and expansion factors (BCEF) to convert stem volume raw data into aboveground dry biomass. Using the dry biomass values, carbon stock is easily estimated using conversion factors, being 0.50 a generally accepted value. Case study reports to a pilot zone with pure and mixed stands of Eucalyptus globulus Labill and Pinus pinaster Ait. in Portugal. Procedure 1) gives the most reliable results when the database includes detailed information at tree level, both for pure or mixed stands. When individual tree data is not accessible, option 2) is an interesting option to consider for pure stands. The use of BCEF-based procedure in mixed stands is not advocated at least when considering the direct use of a single conversion factor, as the value of the factor strongly depends on the forest composition.

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Fonseca, T. & Marques, C. (2011). Carbon Stock Assessment at a Regional Level, on Pure and Mixed Stands, Based on Inventory Data: A Case Study. Open Journal of Forestry, 1, 6-9. doi: 10.4236/ojf.2011.11002.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Brown, S., (1997). Estimating Biomass and Biomass Change of Tropical Forests: a Primer. FAO Forestry Paper 134.
[2] Brown, S., Gillespie, A.J.R., & Lugo, A.E. (1989). Biomass Estimation Methods for Tropical Forests with Applications to Forest Inventory Data. Forest Science, 35, 881-902.
[3] Fabi?o, A. M., (1986). Contribui??o para o estudo da dinamica da biomassa e da produtividade primária líquida em eucaliptais – regi?o litoral do centro de Portugal. Ph. D. Thesis, Lisbon: Universidade Técnica de Lisboa.
[4] IPCC, 2006. Guidelines for National Greenhouse Gas Inventories. Volume 4 Agriculture, Forestry and Other Land Use. URL (last checked 29 June 2011) pdf/4_Volume4/V4_04_Ch4_Forest_Land.pdf.
[5] Ketterings Q. M., Coe, R., van Noordwijk, M., Ambagau, Y., & 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.
[6] Lambert, M. C., Ung, C. H., & Raulier, F. (2005). Canadian National Tree Aboveground Biomass Equations. Canadian Journal of Forest Research, 35, 1996-2018.
[7] Lindner, M., & Karjalainen, T. (2007). Carbon Inventory Methods and Carbon Mitigation Potentials of Forests in Europe: a Short Review of Recent Progress. European Journal of Forest Research, 126, 149- 156.
[8] Lopes, D., (2005). Estimating net primary production in Eucalyptus globulus and Pinus pinaster ecossytems in Portugal. Ph. D. Thesis, Kingston: Kingston University.
[9] Satterthwaite, F. E. (1946). An Approximate Distribution of Estimates of Variance Components. Biometrics, 2, 110-114.
[10] Somogyi Z., Teobaldelli, M., Federici, S., Matteucci, G., Pagliari, V., Grassi, G., & Seufert, G. (2008). Allometric Biomass and Carbon Factors Database. Journal of Biogeosciences and Forestry, 1, 107- 113.
[11] Ter-Mikaelian, M., & Korzukhin, M.D. (1997). Biomass Equations for Sixty-five North American Tree Species. Forest Ecology and Management, 97, 1-24.
[12] Wood density Database. URL (last checked 29 June 2011) http://www.
[13] Zianis, D., Muukkonen, P., M?kip??, R. & Mencuccini, M. (2005). Biomass and Stem Volume Equations for Tree Species in Europe. Silva Fennica Monographs, 4, 63 p.

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