Equations of bark thickness and volume profiles at different heights with easy-measurement variables

The objective of this work was to develop equations of thickness profile and bark volume at different heights with easy-measurement variables, taking as a study case Nothofagus pumilio forests, growing in different site qualities and growth phases in Southern Patagonia. Data was collected from 717 h...

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Autores principales: Cellini, Juan Manuel, Galarza, Martín, Burns, Sarah Lilian, Martínez Pastur, Guillermo, Lencinas, María Vanessa
Formato: Articulo
Lenguaje:Inglés
Publicado: 2012
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/42330
http://revistas.inia.es/index.php/fs/article/view/1963/1633
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id I19-R120-10915-42330
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Agrarias
Ingeniería Forestal
inventario forestal
Análisis de Regresión
Tierra del Fuego (Argentina)
Nothofagus pumilio
spellingShingle Ciencias Agrarias
Ingeniería Forestal
inventario forestal
Análisis de Regresión
Tierra del Fuego (Argentina)
Nothofagus pumilio
Cellini, Juan Manuel
Galarza, Martín
Burns, Sarah Lilian
Martínez Pastur, Guillermo
Lencinas, María Vanessa
Equations of bark thickness and volume profiles at different heights with easy-measurement variables
topic_facet Ciencias Agrarias
Ingeniería Forestal
inventario forestal
Análisis de Regresión
Tierra del Fuego (Argentina)
Nothofagus pumilio
description The objective of this work was to develop equations of thickness profile and bark volume at different heights with easy-measurement variables, taking as a study case Nothofagus pumilio forests, growing in different site qualities and growth phases in Southern Patagonia. Data was collected from 717 harvested trees. Three models were fitted using multiple, non-lineal regression and generalized linear model, by stepwise methodology, iteratively reweighted least squares method for maximum likelihood estimation and Marquardt algorithm. The dependent variables were diameter at 1.30 m height (DBH), relative height (RH) and growth phase (GP). The statistic evaluation was made through the adjusted determinant coefficient (r2-adj), standard error of the estimation (SEE), mean absolute error and residual analysis. All models presented good fitness with a significant correlation with the growth phase. A decrease in the thickness was observed when the relative height increase. Moreover, a bark coefficient was made to calculate volume with and without bark of individual trees, where significant differences according to site quality of the stands and DBH class of the trees were observed. It can be concluded that the prediction of bark thickness and bark coefficient is possible using DBH, height, site quality and growth phase, common and easymeasurement variables used in forest inventories.
format Articulo
Articulo
author Cellini, Juan Manuel
Galarza, Martín
Burns, Sarah Lilian
Martínez Pastur, Guillermo
Lencinas, María Vanessa
author_facet Cellini, Juan Manuel
Galarza, Martín
Burns, Sarah Lilian
Martínez Pastur, Guillermo
Lencinas, María Vanessa
author_sort Cellini, Juan Manuel
title Equations of bark thickness and volume profiles at different heights with easy-measurement variables
title_short Equations of bark thickness and volume profiles at different heights with easy-measurement variables
title_full Equations of bark thickness and volume profiles at different heights with easy-measurement variables
title_fullStr Equations of bark thickness and volume profiles at different heights with easy-measurement variables
title_full_unstemmed Equations of bark thickness and volume profiles at different heights with easy-measurement variables
title_sort equations of bark thickness and volume profiles at different heights with easy-measurement variables
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/42330
http://revistas.inia.es/index.php/fs/article/view/1963/1633
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