Abstract

GARCIA-CUEVAS, Xavier et al. Allometric relations to predict dasometrics variables of chacteviga (Caesalpinia platyloba S. Watson) in Quintana Roo, México. Ecosistemas y recur. agropecuarios [online]. 2020, vol.7, n.3, e2539.  Epub Nov 08, 2021. ISSN 2007-901X.  https://doi.org/10.19136/era.a7n3.2539.

Chacteviga wood (Caesalpinia platyloba S. Watson) is of great commercial value to the sawmill industry. Allometric relationships quantitatively describe the changes in the relative dimension of two variables of the same individual. The objective of this study was to adjust allometric relationships to predict variables of commercial interest such as normal diameter (d), total height (h), crown diameter (dc) and volume (v) as a function of stump diameter (dt) y d from chacteviga in the center and south of Quintana Roo. Dasometric data from 316 trees were adjusted using the maximum likelihood method with Proc Model in SAS® to 14 models that predict variables based on dt and d. For the selection of the models, the indicators of goodness of fit of the root of the mean square of the error and the adjusted coefficient of determination, the level of reliability of the estimators (p = 0.05), assumptions of normality, heterosedasticity and autocorrelation of the residuals were verified with the Shapiro test. Wilk, graphically in the distribution of residuals and the Durbin Watson indicator, respectively. The potential type and Schumacher models explained between 50.9 and 99.0% of the d, h, dc and v. The values in the biases and the added difference in percentage showed that the equations are reliable and can be used for the quantification and evaluation of illegal logging, effects in the event of natural disasters, support in forest inventories, preparation of forest management plans and evaluation of treatments.

Keywords : Tropical forest; illegal logging; Prediction equations; assessment of hurricanes; forest management.