Tree height prediction in Brazilian Khaya ivorensis stands

SUMMARY: Tree height measurement is one of the most difficult activities in forest inventory data gathering, although it is a fundamental variable to support forest management, since it is an input for modelling growth and yield. To overcome this obstacle and ensure that the heights of trees are est...

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Autores principales:	Ribeiro,Andressa, Ferraz-Filho,Antonio Carlos, Soares-Scolforo,José Roberto
Lenguaje:	English
Publicado:	Universidad Austral de Chile, Facultad de Ciencias Forestales 2018
Materias:	African mahogany forest inventory statistical modelling
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002018000100015
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spelling	oai:scielo:S0717-920020180001000152018-06-13Tree height prediction in Brazilian Khaya ivorensis standsRibeiro,AndressaFerraz-Filho,Antonio CarlosSoares-Scolforo,José Roberto African mahogany forest inventory statistical modelling SUMMARY: Tree height measurement is one of the most difficult activities in forest inventory data gathering, although it is a fundamental variable to support forest management, since it is an input for modelling growth and yield. To overcome this obstacle and ensure that the heights of trees are estimated accurately, hypsometric relationships are used. Therefore, the objective of this study was to compare different fitting strategies (i.e. nonlinear least squares and mixed-effects) to predict tree height in African mahogany Brazilian plantations using well know local (using only tree height and diameter) and generalized (using height, diameter and plot level variables) models. Data were gathered on 149 permanent plots sampled in different Brazilian regions and ages, totaling 4,201 height-diameter pairs. Different models were evaluated and the best method to estimate the height-diameter relationship was based on statistical and graphical criteria. A local model using mixed-effects with correction of heteroscedasticity was efficient and superior to other models evaluated. However, when using an independent data base, the generalized model fitted by nonlinear least squares generates adequate results that are scaled to the plots’ productivity, since the inclusion of dominant height into the model helps to predict height locally.info:eu-repo/semantics/openAccessUniversidad Austral de Chile, Facultad de Ciencias ForestalesBosque (Valdivia) v.39 n.1 20182018-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002018000100015en10.4067/S0717-92002018000100015
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	African mahogany forest inventory statistical modelling
spellingShingle	African mahogany forest inventory statistical modelling Ribeiro,Andressa Ferraz-Filho,Antonio Carlos Soares-Scolforo,José Roberto Tree height prediction in Brazilian Khaya ivorensis stands
description	SUMMARY: Tree height measurement is one of the most difficult activities in forest inventory data gathering, although it is a fundamental variable to support forest management, since it is an input for modelling growth and yield. To overcome this obstacle and ensure that the heights of trees are estimated accurately, hypsometric relationships are used. Therefore, the objective of this study was to compare different fitting strategies (i.e. nonlinear least squares and mixed-effects) to predict tree height in African mahogany Brazilian plantations using well know local (using only tree height and diameter) and generalized (using height, diameter and plot level variables) models. Data were gathered on 149 permanent plots sampled in different Brazilian regions and ages, totaling 4,201 height-diameter pairs. Different models were evaluated and the best method to estimate the height-diameter relationship was based on statistical and graphical criteria. A local model using mixed-effects with correction of heteroscedasticity was efficient and superior to other models evaluated. However, when using an independent data base, the generalized model fitted by nonlinear least squares generates adequate results that are scaled to the plots’ productivity, since the inclusion of dominant height into the model helps to predict height locally.
author	Ribeiro,Andressa Ferraz-Filho,Antonio Carlos Soares-Scolforo,José Roberto
author_facet	Ribeiro,Andressa Ferraz-Filho,Antonio Carlos Soares-Scolforo,José Roberto
author_sort	Ribeiro,Andressa
title	Tree height prediction in Brazilian Khaya ivorensis stands
title_short	Tree height prediction in Brazilian Khaya ivorensis stands
title_full	Tree height prediction in Brazilian Khaya ivorensis stands
title_fullStr	Tree height prediction in Brazilian Khaya ivorensis stands
title_full_unstemmed	Tree height prediction in Brazilian Khaya ivorensis stands
title_sort	tree height prediction in brazilian khaya ivorensis stands
publisher	Universidad Austral de Chile, Facultad de Ciencias Forestales
publishDate	2018
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002018000100015
work_keys_str_mv	AT ribeiroandressa treeheightpredictioninbraziliankhayaivorensisstands AT ferrazfilhoantoniocarlos treeheightpredictioninbraziliankhayaivorensisstands AT soaresscolforojoseroberto treeheightpredictioninbraziliankhayaivorensisstands
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Tree height prediction in Brazilian Khaya ivorensis stands

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