African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6656

Full Length Research Paper

Analytical approaches for modeling tree crown volume in black wattle (Acacia mearnsii De Wild.) stands

Guilherme C. Cadori*
  • Guilherme C. Cadori*
  • Federal University of Parana, Department of Forest Sciences, Av. Pref. Lothário Meissner, 900 Jardim Botânico - Campus III, CEP 80210-170, Curitiba, Brazil.
  • Google Scholar
Carlos R. Sanquetta
  • Carlos R. Sanquetta
  • Federal University of Parana, Department of Forest Sciences, Av. Pref. Lothário Meissner, 900 Jardim Botânico - Campus III, CEP 80210-170, Curitiba, Brazil.
  • Google Scholar
Sylvio Pellico Netto
  • Sylvio Pellico Netto
  • Federal University of Parana, Department of Forest Sciences, Av. Pref. Lothário Meissner, 900 Jardim Botânico - Campus III, CEP 80210-170, Curitiba, Brazil.
  • Google Scholar
Alexandre Behling
  • Alexandre Behling
  • Federal University of Parana, Department of Forest Sciences, Av. Pref. Lothário Meissner, 900 Jardim Botânico - Campus III, CEP 80210-170, Curitiba, Brazil.
  • Google Scholar
Sergio Costa Junior
  • Sergio Costa Junior
  • Federal University of Parana, Department of Forest Sciences, Av. Pref. Lothário Meissner, 900 Jardim Botânico - Campus III, CEP 80210-170, Curitiba, Brazil.
  • Google Scholar
Ana Paula Dalla Corte
  • Ana Paula Dalla Corte
  • Federal University of Parana, Department of Forest Sciences, Av. Pref. Lothário Meissner, 900 Jardim Botânico - Campus III, CEP 80210-170, Curitiba, Brazil.
  • Google Scholar


  •  Received: 23 September 2016
  •  Accepted: 19 November 2016
  •  Published: 08 December 2016

Abstract

In this paper, four strategies were proposed for modeling tree crown volume using as independent variable stem variables, crown variables, combination of stem and crown variables, and stem volume. We used a dataset comprised of 170 trees from 12 temporary plots located in forest stands in southern Brazil. Models composed of stem variables presented weaker predictive ability. The best model contained crown variables, which explained 78.95% of observed variability. However, implementation of such model is bounded by its independent variables, which are not often measured in forest inventories. The model composed by diameter at breast height and crown length proved to be an adequate modeling approach. The predictive capability was kept by model which is composed by most easily measured variable in a forest - diameter at breast height, also by the most easily acquirable crown variable - crown length. In our suggested model, estimates of  and  are coefficients that convert volume of a regular geometric solid – RGS is dbh² times crown length) - into crown volume, whilst estimate of  is an allometric constant.

Key words: Crown modeling, diameter at breast height, crown length, crown volume.