Application of generalized linear models to estimate height growth

Authors

  • André Felipe Hess Universidade do Estado de Santa Catarina
  • Lucas Cianorschi Universidade do Estado de Santa Catarina
  • Raul Silvestre Universidade do Estado de Santa Catarina
  • Rafael Scariot Universidade do Estado de Santa Catarina
  • Pollyni Ricken Universidade do Estado de Santa Catarina

DOI:

https://doi.org/10.4336/2015.pfb.35.84.604

Keywords:

Stem analysis, Prediction estimates, Model accuracy

Abstract

Height growth analysis presents great importance in forestry, as it expresses site production capacity. Its use is associated with lower adjustment error models to generate estimates to inference with precision and reliability. The present study examined generalized linear models in predicting height growth of Pinus taeda L. depending on the age and diameter at 1.30 m height above ground level in stands in the highlands of Santa Catarina State. The data were obtained from complete stem analysis of 25 trees with 8 years old, divided into diameter classes from Lages, SC. Data were processed in original form without variables transformation. The model with gamma distribution and identity link function presented the best fit, with superior performance criteria deviation (1.21), Akaike (255.39) and residuals homogenization, showing potential to generate estimates of the variable.

Downloads

Download data is not yet available.

Author Biographies

André Felipe Hess, Universidade do Estado de Santa Catarina

http://lattes.cnpq.br/1918226598241749

Raul Silvestre, Universidade do Estado de Santa Catarina

http://lattes.cnpq.br/1151295258229642

Rafael Scariot, Universidade do Estado de Santa Catarina

http://lattes.cnpq.br/2328772479090147

Pollyni Ricken, Universidade do Estado de Santa Catarina

http://lattes.cnpq.br/2858425674893780

Downloads

Published

2015-12-31

How to Cite

HESS, André Felipe; CIANORSCHI, Lucas; SILVESTRE, Raul; SCARIOT, Rafael; RICKEN, Pollyni. Application of generalized linear models to estimate height growth. Pesquisa Florestal Brasileira, [S. l.], v. 35, n. 84, p. 427–433, 2015. DOI: 10.4336/2015.pfb.35.84.604. Disponível em: https://pfb.sede.embrapa.br/pfb/article/view/604. Acesso em: 25 apr. 2026.

Issue

Vol. 35 No. 84 (2015): out./dez.

Section

Articles

License

Pesquisa Florestal Brasileira (PFB) licenses all its published content under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).

  • Copyright: Authors maintain the copyright to their work. PFB holds the right to the first publication, and use rights under the specific Creative Commons deed.
  • Editing and revision: PFB reserves the right to edit the original manuscript to ensure conformity with the standards, spelling and grammar of the Portuguese language, while respecting the style of the author(s). The final version of the text shall be sent to the corresponding author for approval prior to publication.
  • Sharing and reuse: The CC BY-NC-ND 4.0 license permits sharing of the article in its original version, as long as credit is given to the journal and the authors and the material is not used for commercial purposes. No alterations or adaptations of the original content are permitted.
  • Figures and illustrations: Figures and illustrations published in PFB may only be used with express prior authorization from Embrapa Forestry.
  • Disclaimer: The opinions and beliefs expressed in the texts published herein are the exclusive responsibility of their respective authors and not PFB.
Crossref
Scopus
Google Scholar
Europe PMC