Allometric models to estimate the volume of Guazuma crinita in forest plantations

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The use of allometric equations in the estimation of the commercial volume of wood allows to plan the management Forestry In that sense, the objective in this work was to select the best allometric models to estimate the volume of wood in G. crinita trees, for this, trees between 13.09 m high and 10...

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Autores: Revilla Chávez, Jorge Manuel, Abanto-Rodríguez, Carlos, Guerra Arévalo, Wilson Francisco, García Soria, Diego, Guerra Arévalo, Héctor, Domínguez Torrejón, Gilberto, da Silva Carmo, Ignacio Lund Gabriel
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad Nacional de Trujillo
Repositorio:Revistas - Universidad Nacional de Trujillo
Lenguaje:español
OAI Identifier:oai:ojs.revistas.unitru.edu.pe:article/3294
Enlace del recurso:https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3294
Nivel de acceso:acceso abierto
Materia:agroforestería
bolaina blanca
modelo predictivo
parcelas demostrativas
silvicultura
volumen comercial
agroforestry
predictive model
demonstration plots
forestry
commercial volume
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spelling Allometric models to estimate the volume of Guazuma crinita in forest plantationsModelos alométricos para estimar el volumen de madera de Guazuma crinita en plantaciones forestalesRevilla Chávez, Jorge ManuelAbanto-Rodríguez, Carlos Guerra Arévalo, Wilson Francisco García Soria, Diego Guerra Arévalo, Héctor Domínguez Torrejón, Gilberto da Silva Carmo, Ignacio Lund Gabrielagroforesteríabolaina blancamodelo predictivoparcelas demostrativassilviculturavolumen comercialagroforestrybolaina blancapredictive modeldemonstration plotsforestrycommercial volumeThe use of allometric equations in the estimation of the commercial volume of wood allows to plan the management Forestry In that sense, the objective in this work was to select the best allometric models to estimate the volume of wood in G. crinita trees, for this, trees between 13.09 m high and 10.58 cm DAP were used on average. For the determination of the best model, the highest adjusted coefficient of determination R2 (˃ R2Aj), lower coefficient of variability (˂ CV%) and lower Furnival index (IF) were considered. Of the 17 existing allometric models for forest species, two were suitable, the model: ln (V) = a + b ln (D) (R2 = 0.93, CV = 11.93%, IF = 0.003444) and the model that uses the combined variable Log: ln (V) = a + b ln (D2*H) (R2 = 0.91, CV = 11.93%, IF = 0.003444), likewise, a third model proposed in this study: ln (V) = a + b ln (D2) + c ln (D * H) - d ln (D2*H) (R2 = 0.98, CV = 11.93%, IF = 0.003444), also presented the best fit to estimate the commercial volume of G. crinita at 31 months of age. However, the use of the Husch model is recommended, as it is easy to apply, since it only uses the diameter at chest height (DBH) as an independent variable.El uso de ecuaciones alométricas en la estimación del volumen comercial de madera permite planificar el manejo silvicultural. En ese sentido, el objetivo en este trabajo fue seleccionar los mejores modelos alométricos para estimar el volumen de madera en árboles de G. crinita, para ello, fueron utilizados árboles entre 13,09 m de altura y 10,58 cm de DAP en media. Para la determinación del mejor modelo fueron considerados el mayor coeficiente de determinación R2 ajustado (˃ R2Aj), menor coeficiente de variabilidad (˂ CV%) y menor índice de Furnival, (IF). De los 17 modelos alométricos existentes para especies forestales, dos fueron adecuados, el modelo: ln (V) = a + b ln (D) (R2 = 0,93, CV = 11,93%, IF = 0,003444) y el modelo que utiliza la variable combinada Log: ln (V) = a + b ln (D2*H) (R2 = 0,91, CV = 11,93%, IF = 0,003444), así mismo, un tercer modelo propuesto en este estudio: ln (V) = a + b ln (D2) + c ln (D*H) – d ln (D2*H) (R2 = 0,98,  CV = 11,93%, IF = 0,003444), también presentó el mejor ajuste para estimar el volumen comercial de G. crinita a los 31 meses de edad.  Con todo, se recomienda el uso del modelo de Husch, por ser de fácil aplicación, puesto que utiliza apenas el diámetro a la altura del pecho (DAP) como variable independiente.Universidad Nacional de Trujillo2021-02-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdfhttps://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3294Scientia Agropecuaria; Vol. 12 Núm. 1 (2021): Enero - Marzo; 25-31Scientia Agropecuaria; Vol. 12 No. 1 (2021): Enero - Marzo; 25-312306-67412077-9917reponame:Revistas - Universidad Nacional de Trujilloinstname:Universidad Nacional de Trujilloinstacron:UNITRUspahttps://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3294/6706https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3294/4008Derechos de autor 2021 Jorge Manuel Revilla Chávez, Carlos Abanto-Rodríguez, Wilson Francisco Guerra Arévalo, Diego García Soria, Héctor Guerra Arévalo, Gilberto Domínguez Torrejón, Ignacio Lund Gabriel da Silva Carmohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessoai:ojs.revistas.unitru.edu.pe:article/32942021-07-20T17:11:42Z
dc.title.none.fl_str_mv Allometric models to estimate the volume of Guazuma crinita in forest plantations
Modelos alométricos para estimar el volumen de madera de Guazuma crinita en plantaciones forestales
title Allometric models to estimate the volume of Guazuma crinita in forest plantations
spellingShingle Allometric models to estimate the volume of Guazuma crinita in forest plantations
Revilla Chávez, Jorge Manuel
agroforestería
bolaina blanca
modelo predictivo
parcelas demostrativas
silvicultura
volumen comercial
agroforestry
bolaina blanca
predictive model
demonstration plots
forestry
commercial volume
title_short Allometric models to estimate the volume of Guazuma crinita in forest plantations
title_full Allometric models to estimate the volume of Guazuma crinita in forest plantations
title_fullStr Allometric models to estimate the volume of Guazuma crinita in forest plantations
title_full_unstemmed Allometric models to estimate the volume of Guazuma crinita in forest plantations
title_sort Allometric models to estimate the volume of Guazuma crinita in forest plantations
dc.creator.none.fl_str_mv Revilla Chávez, Jorge Manuel
Abanto-Rodríguez, Carlos
Guerra Arévalo, Wilson Francisco
García Soria, Diego
Guerra Arévalo, Héctor
Domínguez Torrejón, Gilberto
da Silva Carmo, Ignacio Lund Gabriel
author Revilla Chávez, Jorge Manuel
author_facet Revilla Chávez, Jorge Manuel
Abanto-Rodríguez, Carlos
Guerra Arévalo, Wilson Francisco
García Soria, Diego
Guerra Arévalo, Héctor
Domínguez Torrejón, Gilberto
da Silva Carmo, Ignacio Lund Gabriel
author_role author
author2 Abanto-Rodríguez, Carlos
Guerra Arévalo, Wilson Francisco
García Soria, Diego
Guerra Arévalo, Héctor
Domínguez Torrejón, Gilberto
da Silva Carmo, Ignacio Lund Gabriel
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv agroforestería
bolaina blanca
modelo predictivo
parcelas demostrativas
silvicultura
volumen comercial
agroforestry
bolaina blanca
predictive model
demonstration plots
forestry
commercial volume
topic agroforestería
bolaina blanca
modelo predictivo
parcelas demostrativas
silvicultura
volumen comercial
agroforestry
bolaina blanca
predictive model
demonstration plots
forestry
commercial volume
description The use of allometric equations in the estimation of the commercial volume of wood allows to plan the management Forestry In that sense, the objective in this work was to select the best allometric models to estimate the volume of wood in G. crinita trees, for this, trees between 13.09 m high and 10.58 cm DAP were used on average. For the determination of the best model, the highest adjusted coefficient of determination R2 (˃ R2Aj), lower coefficient of variability (˂ CV%) and lower Furnival index (IF) were considered. Of the 17 existing allometric models for forest species, two were suitable, the model: ln (V) = a + b ln (D) (R2 = 0.93, CV = 11.93%, IF = 0.003444) and the model that uses the combined variable Log: ln (V) = a + b ln (D2*H) (R2 = 0.91, CV = 11.93%, IF = 0.003444), likewise, a third model proposed in this study: ln (V) = a + b ln (D2) + c ln (D * H) - d ln (D2*H) (R2 = 0.98, CV = 11.93%, IF = 0.003444), also presented the best fit to estimate the commercial volume of G. crinita at 31 months of age. However, the use of the Husch model is recommended, as it is easy to apply, since it only uses the diameter at chest height (DBH) as an independent variable.
publishDate 2021
dc.date.none.fl_str_mv 2021-02-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3294
url https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3294
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3294/6706
https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/3294/4008
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de Trujillo
publisher.none.fl_str_mv Universidad Nacional de Trujillo
dc.source.none.fl_str_mv Scientia Agropecuaria; Vol. 12 Núm. 1 (2021): Enero - Marzo; 25-31
Scientia Agropecuaria; Vol. 12 No. 1 (2021): Enero - Marzo; 25-31
2306-6741
2077-9917
reponame:Revistas - Universidad Nacional de Trujillo
instname:Universidad Nacional de Trujillo
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instname_str Universidad Nacional de Trujillo
instacron_str UNITRU
institution UNITRU
reponame_str Revistas - Universidad Nacional de Trujillo
collection Revistas - Universidad Nacional de Trujillo
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