Diametric distribution and determining height in an Araucaria angustifolia (Bertol.) Kuntze plantation in central region of Rio Grande do Sul

Authors

  • Ângela Maria Klein Hentz Universidade Federal do Paraná
  • Débora Luana Pasa Universidade Federal de Santa Maria
  • Maiara Talgatti Universidade Federal de Santa Maria
  • Augusto da Rosa Casanova Ferreira Universidade Federal de Santa Maria
  • José Américo de Mello Filho Universidade Federal de Santa Maria

DOI:

https://doi.org/10.14808/sci.plena.2016.010202

Keywords:

Regression analysis, estimation models, Paraná pine.

Abstract

This study aim to determine the mathematical model that defines the best hypsometric curve of the relationship between height/diameter from the specie of Araucaria angustifolia, in a plantation located in the area of FEPAGRO FORESTS, Santa Maria-RS. We modulate the diametric distribution of this plantation from probability density function (pdf) and relationship height/diameter using mathematic functions. After adjustment, the results showed that it obtained multiple coefficient of determination values ranging from 0.36 until 0.47, and standard error between 10.58% and 11.64%. When these parameters were analyzed, it shown that the h = b0 + b1dap + b2dap2 was the model that had better adapt for the local conditions, obtaining R²aj= 0.47 e Sxy% = 10.59. The function SB of Johnson was the one that had better adapt to diametric distribution, according to the Kolmogorov-Smirnov test. The conclusion is that the hypsometric equations can be utilize to estimate the height variable of the specie in the region with acceptable errors, as well as can be modulate the diametric distribution of the forest, utilizing many functions. 

Published

2016-01-19

How to Cite

Hentz, Ângela M. K., Pasa, D. L., Talgatti, M., Ferreira, A. da R. C., & Mello Filho, J. A. de. (2016). Diametric distribution and determining height in an Araucaria angustifolia (Bertol.) Kuntze plantation in central region of Rio Grande do Sul. Scientia Plena, 12(1). https://doi.org/10.14808/sci.plena.2016.010202