Dissertação
Calibração do modelo 3-PG para Eucalyptus saligna Smith na região de Guaíba, RS
Fecha
2011-08-26Registro en:
LONDERO, Eduardo Kneipp. Calibration the model 3-PG for Eucalyptus saligna in the region of Guaíba, RS. 2011. 68 f. Dissertação (Mestrado em Recursos Florestais e Engenharia Florestal) - Universidade Federal de Santa Maria, Santa Maria, 2011.
Autor
Londero, Eduardo Kneipp
Institución
Resumen
The study aimed to calibrate the model 3-PG for Eucalyptus saligna in the region of Guaíba, RS for the following variables diameter at breast height (DBH), total height, wood volume and biomass of stem (branch, bark and wood). The study took place in the region of Guaíba, RS, and clonal plantations of Eucalyptus saligna in various spacings were used. Six different ages were selected along the crop cycle (2nd to 7th year). A forest inventory was carried out in 60 plants per plot for further collection of biomass (three trees fractionated into wood, bark, branches and leaves). The biomass of roots on the medium tree of each plot was measured to a depth of 1 m. Physical and chemical analysis were performed in the samples of soil in layers from 0 to 20 cm, 20 to 40 cm and 40 to 100 cm. Litter deposition was estimated by allocating 4 square wood collectors of 0.5 m². Leaf area was obtained through digital photographs and thus the specific leaf area was estimated. The physiological parameters were measured using the Li-Cor 6400 in six plots, one at each age. Climatic parameters were provided through the Agronomic Experimental Station of the Federal University of Rio Grande do Sul. Allometric and nonlinear equations adjusted for the fraction branch/bark, wood basic density and specific leaf area did not present a good adjustment because there was variability in the data used. Although the estimated values differed from the values observed, the model performance in terms of adjustment exceeded other parameterizations available in the literature. The parameterization and calibration of the model 3-PG were performed satisfactorily meeting all the predictions proposed by the model. The model validation was not statistically accepted, but their estimated data can be used as a source of estimates for the variables studied, demonstrating the potential of its use, however, the need for additional studies to better understanding of this species in this region. The use of the parameters raised by other authors in other regions cannot be used for the region studied.