INVESTIGADORES
PERI Pablo Luis
artículos
Título:
Incorporación de la altura dominante y clase de sitio a ecuaciones estándar de volumen para Nothofagus antarctica (Forster f.) Oersted
Autor/es:
LENCINAS M.V.; MARTINEZ PASTUR G.; CELLINI J.M;. VUKASOVIC R.; PERI P.L.; FERNANDEZ, M.C.
Revista:
BOSQUE (VALDIVIA)
Editorial:
UNIV AUSTRAL CHILE
Referencias:
Año: 2002 vol. 23 p. 5 - 17
ISSN:
0304-8799
Resumen:
Forest productivity estimation is carried out through the tree volume, and is estimated by true type trees, relationships or equations. Foresters must design methodologies that increases precision and diminishes the costs during the forest inventory. For these reason, objectives were: (a) define new standard volume models (total and stem); and (b) analyze their behavior opposite to traditional models (local and standard) through their statistics and residual analysis (according to site and diameter classes). 251 trees of Nothofagus antarctica along Tierra del Fuego (Argentine) were used (DBH 7.5 - 61.0 cm and total height 3.5 - 15.0 m). Local functions (V = ¦ DBH), traditional standard equations (V = ¦ DBH, TH), non traditional standard equations (V = ¦ DBH, site class), and a new proposal (V = ¦ DBH, dominant height) were fitted. All functions presented a good fitting. Total volume models present average percentage errors varied between 1.0% and –3.8%, and absolute values between 15% and 17%. Stem models have average percentage errors of –1.1% to –4.1%, and absolute ones of 19% to 24%. Standard traditional equations have lesser absolute error, while the non-traditional volume equations present lesser average percentage errors; showing different behaviors when site and diameter gradients were analyzing. If data capture effort during the forest inventory and the models precision for volume calculation were considered, non-traditional volume equations are the most adequate for this purpose. These ones avoid the individual total height measuring during the forest inventory, diminishing the costs and maintaining acceptable error levels during the volume estimation.