Growth of Carapa guianensis and Tetragastris altissima as a subsidy for management in native forests in the Amazon

Name: SANDRA AGUIAR DE OLIVEIRA PIRES

Publication date: 17/07/2017
Advisor:

Namesort descending Role
ADRIANO RIBEIRO DE MENDONÇA Advisor *
GILSON FERNANDES DA SILVA Co-advisor *

Examining board:

Namesort descending Role
ADRIANO RIBEIRO DE MENDONÇA Advisor *

Summary: PIRES, Sandra Aguiar de Oliveira. Growth of Carapa guianensis and Tetragastris altissima as a subsidy for management in native forests in the Amazon. 2017. Dissertation (Master Degree in Forest Science) – Federal University of Espírito Santo, Jerônimo Monteiro, ES. Adviser: Adriano Ribeiro de Mendonça. Co-adviser: Gilson Fernandes da Silva.

The knowledge of the growth of forest species is essential for forest management activity being sustainable. Thus, this work had as objective to study the growth of Carapa guianensis Aubl. and Tetragastris altissima (Aubl.) Swart. in order to subsidize future plans for sustainable forest management. Continuous forest inventory (CFI) data were collected from four permanent plots (PP) of 1.0 hectare, distributed in an area of Upland Forest in the municipality of Rio Branco, Acre. Each of the plots were divided into subplots with an area of 0.01 hectare. The PP were installed in the year 1992 and measured again in the years 1995, 1999, 2005, 2009 and 2012. In the plots, all individuals with diameters at 1.30 m of soil (DBH) greater than or equal to 20 cm were measured. Within each plot, 20 subplots were randomly selected, and all individuals with DBH greater than or equal to 5 cm were measured. Models for the projection of the tree diameter’s of the species were adjusted, as well as models of prediction of the annual periodic increment (API) in diameter. From the model selected to obtain the DBH of the trees, the time of passage by diameter class for each species was calculated. The evaluation of the model estimates was based on the following statistics: adjusted coefficient of determination, root mean square error and bias. In addition to these statistics, a graphic analysis of the observed values versus estimated values was also performed; of the percent residuals and histogram of the frequency of percent errors. Based on the results obtained, it was observed that the API model provided more accurate estimates for the future diameter of both species. The species C. guianensis and T. altissima presented a decreasing trend of passage time with increasing diameter classes.

Keywords: Time of Passage, Individual Tree Model, Projection of the Diameter.

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