Abstract

BARRIOS-TRILLERAS, Alonso; LOPEZ-AGUIRRE, Ana Milena  and  BAEZ-APARICIO, Camila Andrea. Modeling the productivity of Gmelina arborea Roxb. using biophysical and stand variables. Colomb. for. [online]. 2021, vol.24, n.1, pp.71-87.  Epub May 04, 2021. ISSN 0120-0739.  https://doi.org/10.14483/2256201x.15345.

The study developed an empirical model for predicting the dominant height (H) and site index (SI) of Gmelina arborea Roxb. plantations considering biophysical and stand variables. Data from 160 stands located in the Andean, Caribbean and Pacific regions of Colombia were used. The Chapman-Richards model was selected for predicting H and SI of each stand. A correlation analysis identified the relative spacing, elevation and precipitation as variables related to SI. A multiple linear regression model with these variables explained 70 % of the total variation observed in SI. These variables included in the H model allowed to increase the fit index by 30 % and reduce the absolute error and mean square error by 40 and 41 %, respectively. The developed models are suitable for estimating productivity in areas with-out a history of forest plantations, adding flexibility and predictive capacity in a changing environment.

Keywords : forest management; dominant height; forest productivity; site index..

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