Lorey height for vertical stratification of an Alluvial Ombrophilous Forest

SUMMARY: The method, which uses the arithmetic mean and standard deviation (M1) of total heights (Ht), is often used in the stratification of uneven-aged forests and assumes that the Ht must follow a normal standard curve considering a standard deviation of the mean. In cases where this assumption i...

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Autores principales:	dos Santos Vieira,Diego, Romarco de Oliveira,Marcio Leles, Vasconcelos Gama,João Ricardo, Mendonça Machado,Evandro Luiz, Lafetá Oliveira,Bruno, Simões Figueiredo,Axa
Lenguaje:	English
Publicado:	Universidad Austral de Chile, Facultad de Ciencias Forestales 2020
Materias:	total height vertical strata vertical structure stratification methods
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002020000300321
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spelling	oai:scielo:S0717-920020200003003212020-12-21Lorey height for vertical stratification of an Alluvial Ombrophilous Forestdos Santos Vieira,DiegoRomarco de Oliveira,Marcio LelesVasconcelos Gama,João RicardoMendonça Machado,Evandro LuizLafetá Oliveira,BrunoSimões Figueiredo,Axa total height vertical strata vertical structure stratification methods SUMMARY: The method, which uses the arithmetic mean and standard deviation (M1) of total heights (Ht), is often used in the stratification of uneven-aged forests and assumes that the Ht must follow a normal standard curve considering a standard deviation of the mean. In cases where this assumption is rejected, alternative methods are used, such as the fundamentals in multivariate analysis (M2) and Lorey’s mean height (M3). The objective was to evaluate the method M1 considering its assumption and comparing it with methods M2 and M3. The data were collected in 308 contiguous plots of 100 m², installed in an Alluvial Ombrophylous Forest. The assumption of the method M1 was analyzed adjusting a Normal Probabilistic Density Function, evaluated by the K-S test. The methods were evaluated using discriminant analyses, structural analyses and three-dimensional vertical profiles. It was verified that the assumption was not met. The discriminant analyses showed that the classification was 100 % correct in methods M1 and M3. The 13 most important species, in descending order, were the same in all three methods. However, from the 13th, the differences were more remarkable in the method M1. Firstly, it is recommended to use the method M3, as it is more practical and provides results that are equal to those obtained using the method M2. However, if the objective is to obtain a higher level of detail, the option is the method M2 since it allows obtaining up to five strata with 100 % correct classification.info:eu-repo/semantics/openAccessUniversidad Austral de Chile, Facultad de Ciencias ForestalesBosque (Valdivia) v.41 n.3 20202020-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002020000300321en10.4067/S0717-92002020000300321
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	total height vertical strata vertical structure stratification methods
spellingShingle	total height vertical strata vertical structure stratification methods dos Santos Vieira,Diego Romarco de Oliveira,Marcio Leles Vasconcelos Gama,João Ricardo Mendonça Machado,Evandro Luiz Lafetá Oliveira,Bruno Simões Figueiredo,Axa Lorey height for vertical stratification of an Alluvial Ombrophilous Forest
description	SUMMARY: The method, which uses the arithmetic mean and standard deviation (M1) of total heights (Ht), is often used in the stratification of uneven-aged forests and assumes that the Ht must follow a normal standard curve considering a standard deviation of the mean. In cases where this assumption is rejected, alternative methods are used, such as the fundamentals in multivariate analysis (M2) and Lorey’s mean height (M3). The objective was to evaluate the method M1 considering its assumption and comparing it with methods M2 and M3. The data were collected in 308 contiguous plots of 100 m², installed in an Alluvial Ombrophylous Forest. The assumption of the method M1 was analyzed adjusting a Normal Probabilistic Density Function, evaluated by the K-S test. The methods were evaluated using discriminant analyses, structural analyses and three-dimensional vertical profiles. It was verified that the assumption was not met. The discriminant analyses showed that the classification was 100 % correct in methods M1 and M3. The 13 most important species, in descending order, were the same in all three methods. However, from the 13th, the differences were more remarkable in the method M1. Firstly, it is recommended to use the method M3, as it is more practical and provides results that are equal to those obtained using the method M2. However, if the objective is to obtain a higher level of detail, the option is the method M2 since it allows obtaining up to five strata with 100 % correct classification.
author	dos Santos Vieira,Diego Romarco de Oliveira,Marcio Leles Vasconcelos Gama,João Ricardo Mendonça Machado,Evandro Luiz Lafetá Oliveira,Bruno Simões Figueiredo,Axa
author_facet	dos Santos Vieira,Diego Romarco de Oliveira,Marcio Leles Vasconcelos Gama,João Ricardo Mendonça Machado,Evandro Luiz Lafetá Oliveira,Bruno Simões Figueiredo,Axa
author_sort	dos Santos Vieira,Diego
title	Lorey height for vertical stratification of an Alluvial Ombrophilous Forest
title_short	Lorey height for vertical stratification of an Alluvial Ombrophilous Forest
title_full	Lorey height for vertical stratification of an Alluvial Ombrophilous Forest
title_fullStr	Lorey height for vertical stratification of an Alluvial Ombrophilous Forest
title_full_unstemmed	Lorey height for vertical stratification of an Alluvial Ombrophilous Forest
title_sort	lorey height for vertical stratification of an alluvial ombrophilous forest
publisher	Universidad Austral de Chile, Facultad de Ciencias Forestales
publishDate	2020
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002020000300321
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Lorey height for vertical stratification of an Alluvial Ombrophilous Forest

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