Abstract

VEGA, Alondra Anahi; CORRAL RIVAS, Sacramento; CORRAL RIVAS, José Javier  and  DIEGUEZ ARANDA, Ulises. Modelling diameter distribution of natural forests in Pueblo Nuevo, Durango State. Rev. mex. de cienc. forestales [online]. 2022, vol.13, n.73, pp.75-101.  Epub Oct 10, 2022. ISSN 2007-1132.  https://doi.org/10.29298/rmcf.v13i73.1187.

Diameter distributions are an important factor in stand characterization because the diameter is generally correlated with other variables such height, volume, and biomass, and this makes it possible to know what kind products can be harvested from forests. The objective of this research was to develop a strategy to fit the Weibull, Beta and SB Johnson PDFs and reconstruct (modeling) the future diameter distribution with the parameter recovery method. In the first phase, the goodness-of-fit of three probability distribution functions, or PDFs, (Weibull, Johnson’s SB, and Beta) was evaluated using the moments and the maximum likelihood methods to estimate the distribution parameters of 2 252 temporary sampling plots distributed in natural forests in Pueblo Nuevo, Durango, Mexico. In general, the best results in terms of accuracy and parsimony during the model fitting evaluated with the average bias and the root mean square error were obtained with Weibull’s PDF, fitted with the moments method was the best, while Johnson’s SB and Beta were ranked in second and third position, respectively. Therefore, the two-parameter Weibull’s PDF was selected to describe the diameter distributions of the studied forest stands. The parameter recovery method suggested that 62 % of evaluated sampling plots followed a Weibull distribution with a significance level of 20 % in the Kolmogorov-Smirnov test.

Keywords : Diametric distribution; two-parameter Weibull function; mixed stands; moments method; parameter recovery; sampling plots.

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