Banca de QUALIFICAÇÃO: ANTÔNIA GEICIANE SILVA DE OLIVEIRA DANTAS

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : ANTÔNIA GEICIANE SILVA DE OLIVEIRA DANTAS
DATE: 10/11/2020
TIME: 08:30
LOCAL: Sala de reuniões do google
TITLE:

ESTIMATING HOLLOW VOLUMES IN TREES OF A DENSE OMBRÓFILA FOREST IN THE EASTERN BRAZILIAN AMAZON.

KEY WORDS:

Trunk defects; regression analysis; forest management, Amazônia

PAGES: 30
BIG AREA: Ciências Agrárias
AREA: Recursos Florestais e Engenharia Florestal
SUBÁREA: Manejo Florestal
SPECIALTY: Dendrometria e Inventário Florestal
SUMMARY:

The occurrence of hollows in trees in the Amazon rainforest, in many cases, can be significant and negatively impact the production of timber in forests under management. In view of this question, the objective of this study is to investigate and evaluate mathematical models to estimate hollow volumes in trees of dense ombrophilous forests located in the Brazilian Amazon. A set of 450 sample trees with hollow occurrence from six commercial species were collected. To estimate the hollow volume, six mathematical models commonly used in forestry engineering were selected to estimate trunk volume, four linear and two linearized models. The Ordinary Least Squares Method (OLS) will be used to obtain the hollow volume equations Pearson's correlation coefficient (r) will be used to verify the degree of correlation between the height and the diameter of the hollow in an attempt to establish a hypsometric relation to be inserted in models that use height as an independent variable. The following preliminary results were obtained: among the commercial species that make up the database, only one species, Manilkara elata (Allemão ex. Miq.) Monarch. (Maçaranduba) presented the largest number of hollow trees (N = 284) representing 66% of the total. The highest frequency of trees with this defect occurred in the hollow diameter class 15-25 cm (N = 215). Hollow diameters above 45 cm (N = 12) were uncommon in the studied sample. Pearson's correlation coefficient (r = -0.058) revealed that there is no relationship between height and hollow diameter and, therefore, models that use height as an independent variable will not be tested to estimate hollow volume. The Kolmogorov-Smirnov normality test was significant at the 5% level, and cannot be analyzed based on the normal distribution. In the homogeneity test of the variances, the Bartlett test was significant at the 5% level, presenting the non-homogeneous hollow diameter variances. The selection of the models will be based on the highest adjusted coefficient of determination (R2 adjusted), the lowest standard error of the estimate (Syx%), homogeneous distribution of the residuals and the lowest value for the average percentage deviation (DMP%).

BANKING MEMBERS:
Presidente - 142.060.489-91 - JOSE NATALINO MACEDO SILVA - Oxford
Interno - 2411797 - FABIANO EMMERT
Interno - 4143218 - JOAO OLEGARIO PEREIRA DE CARVALHO
Externo à Instituição - JOBERTO VELOSO DE FREITAS - UFAM