Abstract
This work evaluated eight hypsometric models to represent tree height-diameter relationship, using data obtained from the scaling of 118 trees and 25 inventory plots. Residue graphic analysis and percent deviation mean criteria, qui-square test precision, residual standard error between real and estimated heights and the graybill f test were adopted. The identity of the hypsometric models was also verified by applying the F(Ho) test on the plot data grouped to the scaling data. It was concluded that better accuracy can be obtained by using the model prodan, with h and d1,3 data measured in 10 trees by plots grouped into these scaling data measurements of even-aged forest stands.
Highlights
Forest inventories are traditionally conducted by measuring the total height (h) of only some trees in each plot, a method proposed by Ker and Smith (1957), according to Batista et al (2001)
Height of the remaining trees is estimated by hipsometric equations generally generated by means of regression analysis relating h only to the diameter measured at 1.3 meters from the site (d1,3), as shown in some examples found in Sadiq and Smith (1983), Arabatzis and Burkhart (1992), Zakrzewski and Ter-Mikaelian (1994), Garcia (1998) and Batista et al (2001)
The statistics obtained after fitting the hypsometric evaluated models are presented in Table 2, along with the mean percent (MP) and the fitted coefficient of determination (R 2)
Summary
Forest inventories are traditionally conducted by measuring the total height (h) of only some trees in each plot, a method proposed by Ker and Smith (1957), according to Batista et al (2001). Height of the remaining trees is estimated by hipsometric equations generally generated by means of regression analysis relating h only to the diameter measured at 1.3 meters from the site (d1,3), as shown in some examples found in Sadiq and Smith (1983), Arabatzis and Burkhart (1992), Zakrzewski and Ter-Mikaelian (1994), Garcia (1998) and Batista et al (2001). For practical purposes, the behavior of equations must be analyzed when applied in forest inventory plots
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call