Height and diameter projection of individual trees of native species in pure stands in the Espírito Santo state

Name: TAÍSE SEVERO AOZANI

Publication date: 27/07/2016
Advisor:

Namesort descending Role
ADRIANO RIBEIRO DE MENDONÇA Advisor *

Examining board:

Namesort descending Role
ADRIANO RIBEIRO DE MENDONÇA Advisor *

Summary: The forest growth prognosis is essential for the planning and economic analysis of forest projects. The regression models are tools used to make this projection. Individual tree models are used when you want more detailing of forest and these are used for estimate of the growth, mortality and competition of each tree. In this sense, the objective of this study was to evaluate models for projection of the diameter and the total height of trees in pure stands of three native species. The evaluated species were: breu vermelho (Protium heptaphyllum (Aubl.) March), angico preto (Senegalia polyphylla Dc.) and aroeira do sertão (Myracrodruon urundeuva Fr. All). First, were calculated six competition indexes independent of the distance. To evaluate the relationship of competition indexes were calculated the correlation coefficients between these indexes and the age, height growth, diameter and basal area variables. After that, was applied the Student t test to assess the correlation significance. Six models were selected to estimate the diameter and height of the species under study, WHERE 70% of the data were used to adjust of the models and 30% for validation. To select the best projection model, were used the Root Mean Squared Error (RMSE); Bias (B); Absolute Differences Mean (DM), beyond residues graphical analysis statistics. The IID5 of Thomas and Burkart (1989) shows better results to evaluate the competition between the trees for the angico preto and aroeira do sertão. The best index for the breu vermelho was the IID4 of Glover and Hool (1979). After the analysis, it was possible to observe that the Pienaar and Schiver (1981) model was the most accurate to estimate the diameter of the angico preto specie, and the Schumacher model adapted from Campos and Leite (2009) for the aroeira do sertão, no having difference between the models that were adjusted for the breu vermelho. The adapted model from Bella (1971), Sterba and Monserud (1997), was the best that estimated the heights for the three species studied.

Keywords: Competition; stochastic models; angico preto; aroeira do sertão; breu vermellho.

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