Parametrização, calibração e validação do modelo 3-PG para eucalipto na região do cerrado de Minas Gerais

• Ano de defesa: 2009
• Autor(a) principal: Borges, Jarbas Silva
• Orientador(a): Neves, Júlio César Lima
• Banca de defesa: Leite, Fernando Palha , Ribeiro, Aristides
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Mestrado em Solos e Nutrição de Plantas
• Departamento: Fertilidade do solo e nutrição de plantas; Gênese, Morfologia e Classificação, Mineralogia, Química,
• País: BR
• Palavras-chave em Português: Eucalipto; Nutrição; Crescimento; Cerrado; Modelo 3-PG; Modelos matemáticos
• Palavras-chave em Inglês: Eucalypt; Nutrition; Growth; Cerrado; 3-PG model; Mathematical models
• Área do conhecimento CNPq: CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLO
• Link de acesso: http://locus.ufv.br/handle/123456789/5408

An alternative to quantify and predict the forest potential productivity is the use of process-based models (PBMs). Among the various existent models in the forest area, the 3- PG (Physiological Principles in Prediction Growth) has been used more recently, which, in essence, is a model of water and solar radiation use efficiency and of carbon partitioning. In Brazil, the results obtained with this model have been good, but these results also show the need of parameterisation and calibration of the model through the adjustment of the values of the parameters and relationships, for the conditions of forest sites. There are not works of this type for the cerrado of Minas Gerais (MG). In this study, we made a parameterisation, calibration and validation of the 3- PG model for fast-growing eucalypt plantations at the cerrado of Minas Gerais. The study was conducted with data from the regions of Curvelo and Itacambira MG and two genetic materials (hybrid clones of E. grandis x E. urophylla) were evaluated during a cycle of production (0,25, 1, 2, 3, 5 and 7 years). At the stage of parameterisation, plots constituted of 40 plants were established. The diameter of the plants was measured at 1,30 m high (dbh), and four plants with dbh of around the average per plot were sampled destructively. The diameter (dbh), the total (H) and commercial (Hc) height, the stand volume excluding branch & bark (V) and the aboveground and root biomass were measured in these trees. It was also determined the specific leaf area (σf), the wood density (ρ) and the fraction of stem biomass as branch and bark (pBB). The litterfall rate has been monitored through collectors of 0.5 x 0.5 m distributed in six random points in each plot. Through non-linear models allometric relationships were adjusted, that describe the relationship among the total height, the stem biomass including branches and bark, and the stand volume as a function of dbh, and also equations that describe the behavior of the σf, ρ and pBB as a function of the age. During the stage of calibration, the estimates for dbh, H, V, dry matter of stem and basal area, obtained through the parameterised model, were compared to data measured in the field in each situation and the eventual deviations were minimized by adjusting the values of some variables of the model that were not measured. At the stage of validation, estimates for dbh, V and H, obtained through the parameterized and calibrated model, were compared to independent data (continuum and pre-cut forest inventory) to evaluate the reliability and capacity of extrapolation of the model. In relation to the dendrometric data, the material 3334 has a much more superior productivity than the material 3336 in the region of Curvelo, but in Itacambira the behavior of both materials in terms of productivity is similar. As concerning the performance of the model, it was satisfactory when simulating the growth of eucalypt forests for the clones 3334 and 3336 in Itacambira, and for the clone 3336 in the region of Curvelo. The estimates obtained through the general model developed for the region of cerrado also present significant correlation with the observed data, either at the stage of calibration or at the stage of validation. For the material 3334 in Curvelo, even after alterations in important variables of the model it was not possible to obtain a satisfactory adjustment of the 3-PG, however, the performance of the adjusted model for this condition was superior to the other available parameterisations. In conclusion, the 3-PG model adjusted for the cerrado of Minas Gerais was efficient in simulate the growth of eucalypt forests in the region, and the performance of the model was superior to other parameterisations of available models.