Uma nova metodologia de avaliação do crescimento e da produção de Eucalyptus sp clonal para fins energéticos

Abstract

This paper proposes a methodological approach in forest management aimed at obtaining charcoal as the final product. This study is structured in three chapters and it uses data made available by the company Vallourec & Mannesmann Florestal. Chapter One consists of a bibliographic revision on topics related to hypsometry, tree "taper", volumetry, forest sites, model for basic density, wood calorific value and forest models of growth and production. Chapter Two proposes a forest inventory processing system based on classic and generalized non-linear models. It was concluded that only through the use of computing resources applied to model adjustment it was possible to obtain a significant improvement in precision and in reduction of models used for forest inventory data processing. Chapter Three suggests a methodological approach to forest management for energy production based on profile modelling, mass, density, growth, and on the production of energy stocks. Based on a mix of regression model techniques, it was possible to obtain significant estimate gains up to 50% in comparison to more traditional adjustment procedures when applying the fixed regression model. Thus, the models proposed in this study presented a high degree of parsimony, precision and high performance, which allow their application irrespective of the database, especially for the non-linear biologic models with asymptotic parameters such as, for instance, biological growth expectations. It was observed that the silvicultural rotation period is around six years when growth and calorimetric production are considered across site range of variation.