A height-diameter model for Pinus radiata D. Don in Galicia (Northwest Spain)

2010) obtained the best results when the smaller trees in the plot were used for calibration and attributed this to the fact that their models included dominant height as a

The objective of this study was to develop a two-step mor- tality model for even-aged stands of Pinus radiata including competition-induced mortality (regular mortality) and

• Empirical observations suggest that in pure even-aged forests, the mean diameter of forest trees (D, diameter at breast height, 1.3 m above ground) tends to remain a

We showed that tree height estimations made at site level, i.e., the random effect approach in the NLME model, produced the lowest and insignificant resid- uals, although the

2.3.2 Nonlinear mixed effects models Using the selected base model, and to account for the correlation of the data due to their nested structure trees inside plots, specific

In the first version of the SUBER model [38], the site quality measure used was the number of years required for a tree to reach a diameter at breast height outside cork of 16 cm

We hypothesized that: (1) models fit with random coefficients would dramatically outperform those fit only with fixed coefficients; (2) height-diameter relationships would di ffer

Canopy cover metrics perform well in modeling those forest variables related with forest density, like basal area, quadratic mean diameter, canopy cover, or number of trees per