Methodological alternatives in the estimate of biomass for young individuals of bambusa genus


  • Lara Clímaco de Melo Universidade Federal do Paraná
  • Carlos Roberto Sanquetta Universidade Federal do Paraná
  • Ana Paula Dalla Corte Universidade Federal do Paraná
  • Francelo Mognon Universidade Federal do Paraná



bamboos, bioenergy, akaike information criteria, factor of expansion of biomass, allometric models.


The objective of this work was to evaluate the distribution of biomass in compartments, as well as to test and select methods to estimate total biomass for the genus Bambusa. For the test of the methods were evaluated: method of estimation from allometric models (total and by compartments), application of allometric equation from literature and method that uses the volume, the density and biomass expansion factor (BEF). Were evaluated using the destructive method, 24 bamboos of the species Bambusa oldhamii Munro and Bambusa vulgaris Schrad. ex J. C. Wendl. For the estimation of biomass, were adjusted 5 models for the selection of the best one and the BEF calculated through the values of volume and density. These methodologies were compared among themselves and with the real biomass. The relationship of increased strength of independent variables with dried biomass measured was with dbh. In the adjustment of mathematical models, the best model was the 5 for the total biomass, model 1 for leaf and culm, and the model 3 for the limb. Of the three methodologies for estimating total biomass, the method of Biomass Expansion Factor demonstrated greater accuracy in estimates, being indicated, therefore, the potential use of this methodology.


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Author Biography

Ana Paula Dalla Corte, Universidade Federal do Paraná

Universidade Federal do Paraná




How to Cite

CLÍMACO DE MELO, L., SANQUETTA, C.R., DALLA CORTE, A.P. and MOGNON, F., 2015. Methodological alternatives in the estimate of biomass for young individuals of bambusa genus . Bioscience Journal [online], vol. 31, no. 3, pp. 791–800. [Accessed25 April 2024]. DOI 10.14393/BJ-v31n3a2015-26098. Available from:



Agricultural Sciences