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Main Author: Valdir Carlos Lima de Andrade
Format: Artículo científico
Language:en
Published: Universidade Federal de Viçosa 2011
Subjects:
Online Access:https://www.redalyc.org/articulo.oa?id=48818717019
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author Valdir Carlos Lima de Andrade
author_facet Valdir Carlos Lima de Andrade
contents HIPSOMETRIC RELATIONSHIP MODELING USING DATA SAMPLED IN TREE SCALING AND INVENTORY PLOTS Valdir Carlos Lima de Andrade Helio Garcia Leite Agrociencias Forest Bio Statistics Model Identity Regression Analysis 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. 2011 artículo científico 0100-6762 https://www.redalyc.org/articulo.oa?id=48818717019 en http://www.redalyc.org/revista.oa?id=488 Revista Árvore application/pdf Universidade Federal de Viçosa Revista Árvore (Brasil) Num.1 Vol.35
format Artículo científico
id redalyc_48818717019
language en
publishDate 2011
publisher Universidade Federal de Viçosa
spellingShingle HIPSOMETRIC RELATIONSHIP MODELING USING DATA SAMPLED IN TREE SCALING AND INVENTORY PLOTS
Valdir Carlos Lima de Andrade
Agrociencias
Forest Bio
Statistics
Model Identity
Regression Analysis
HIPSOMETRIC RELATIONSHIP MODELING USING DATA SAMPLED IN TREE SCALING AND INVENTORY PLOTS Valdir Carlos Lima de Andrade Helio Garcia Leite Agrociencias Forest Bio Statistics Model Identity Regression Analysis 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. 2011 artículo científico 0100-6762 https://www.redalyc.org/articulo.oa?id=48818717019 en http://www.redalyc.org/revista.oa?id=488 Revista Árvore application/pdf Universidade Federal de Viçosa Revista Árvore (Brasil) Num.1 Vol.35
title HIPSOMETRIC RELATIONSHIP MODELING USING DATA SAMPLED IN TREE SCALING AND INVENTORY PLOTS
topic Agrociencias
Forest Bio
Statistics
Model Identity
Regression Analysis
url https://www.redalyc.org/articulo.oa?id=48818717019