Form factors vs. regression models in volume estimation of Pinus taeda L. stem

Autores

  • Carlos Roberto Sanquetta Eng. Florestal, Dr., Professor da Universidade Federal do Paraná
  • Marilia do Carmo Dolci Universidade Federal do Paraná
  • Ana Paula Dalla Corte Eng. Florestal, Dr., Professor da Universidade Federal do Paraná
  • Mateus Niroh Inoue Sanquetta Acadêmico de Engenharia Florestal da Universidade Federal do Paraná
  • Allan Libanio Pelissari Eng. Florestal, Dr., Professor da Universidade Federal do Paraná

DOI:

https://doi.org/10.15361/1984-5529.2017v45n2p175-181

Resumo

Volume is an important information to know the available potential of a forest stand, although direct volume determination is expensive and often impractical. Thus, precise and accurate indirect methods are fundamental. Three volume estimation methods of Pinus taeda stem were compared: mean form factor, form factor by diameter class, and volume models fitted by regression. A total of 146 trees were used for this study, in which 96 were used for fitting and estimation, and 50 for validation, collected in the middle of the Paraná State, Brazil. Fitting statistics (R2aj and Syx%) were used to evaluate regression models. Bias, precision and accuracy statistics, t-test and residue graphical analysis were used to judge estimation methods. Estimation by mean form factor (diameter class) and the Spurr model were equivalent, being superior to the others examined. It was concluded that the use of mean form factor by diameter class has satisfactory statistical performance, robustness and simplicity in volume estimation.

Biografia do Autor

Carlos Roberto Sanquetta, Eng. Florestal, Dr., Professor da Universidade Federal do Paraná

Departamento de Ciências Florestais.

Marilia do Carmo Dolci, Universidade Federal do Paraná

Departamento de Ciências Florestais.

Ana Paula Dalla Corte, Eng. Florestal, Dr., Professor da Universidade Federal do Paraná

Departamento de Ciências Florestais.

Mateus Niroh Inoue Sanquetta, Acadêmico de Engenharia Florestal da Universidade Federal do Paraná

Departamento de Ciências Florestais.

Allan Libanio Pelissari, Eng. Florestal, Dr., Professor da Universidade Federal do Paraná

Departamento de Ciências Florestais.

Publicado

07/04/2017

Edição

Seção

Silvicultura/Engenharia Florestal - Forestry