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VOLUME ESTIMATE FOR THREE TIMBER SPECIES WITH COMMERCIAL INTEREST FROM THE DIAMETER OF THE STUMP.

Authors :
Souza de Lima, Quelyson
da Cunha, Thiago Augusto
Antonio Amaro, Marco
Orfanó Figueiredo, Evandro
Feitosa Parente, Paulo Roberto
Source :
Floresta. jul2021, Vol. 51 Issue 3, p776-784. 9p.
Publication Year :
2021

Abstract

The commercial volume of trees can be calculated directly and indirectly. However, in areas of illegal deforestation, the stem is often not available for dendrometric measurements and, consequently, calculation of the commercial volume and the use of the direct method. On the other hand, the use of the indirect method is impossible due to the lack of equations with possible measurement variables. In order to make the volume estimate feasible in these cases, the objective of this work was to estimate the commercial volume of wood from individual trees using regression equations, using measurements made on the stump for three species of commercial interest, in areas of timber forest management, namely: Dipteryx odorata (Aubl.) Willd., Apuleia leiocarpa (Vogel) JFMacbr. and Amburana acreana (Ducke) A.C.Sm. Data were collected in two management areas, located in the municipalities of Sena Madureira and Rio Branco, with a sample of 250 stumps. Statistical tests were carried out to analyze regression and choose the best equations that would estimate the volume of the species selected for the study, based on the diameter of the stump. Tests of accuracy, precision, assumptions, validation and identity model were applied for choice. Models that met the research objectives for both species were tested with R²adj = 87.7% for Dipteryx odorata (Aubl.) Willd., R²adj = 81.8% for Apuleia leiocarpa (Vogel) J.F.Macbr. and R²adj = 70.5% for Amburana acreana (Ducke) A.C.Sm., as well as meeting all the assumptions of the regression resulting in the validation of the equations adjusted by the selected models. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00153826
Volume :
51
Issue :
3
Database :
Academic Search Index
Journal :
Floresta
Publication Type :
Academic Journal
Accession number :
151617518
Full Text :
https://doi.org/10.5380/rf.v51i3.72945