Multi-species allometric models to predict biomass in tropical high Andean grasslands

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The models of growth and allometry of grasslands allow to know growth and development phenomena. Consequently, the aim of this study was to develop a multi-species allometric model to estimate biomass in three grasses in the High Andean Zone of Jauja, Peru, at an altitude of 3600 m above sea level....

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Detalles Bibliográficos
Autores: Trillo Zárate, Fritz Carlos, Barrantes Campos, Cecilio, Romero Delgado, Gelver, Tito Quispe, Edson, Quiroga Espilco, Pamela, Nuñez Delgado, Jimny
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/19034
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/19034
Nivel de acceso:acceso abierto
Materia:allometry
basal diameter
canopy diameter
grass
grassland
alometría
diámetro basal
diámetro de canopia
gramínea
pastizales
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network_acronym_str REVUNMSM
network_name_str Revistas - Universidad Nacional Mayor de San Marcos
repository_id_str
dc.title.none.fl_str_mv Multi-species allometric models to predict biomass in tropical high Andean grasslands
Modelos alométricos multiespecie para predecir biomasa en pajonales altoandinos tropicales
title Multi-species allometric models to predict biomass in tropical high Andean grasslands
spellingShingle Multi-species allometric models to predict biomass in tropical high Andean grasslands
Trillo Zárate, Fritz Carlos
allometry
basal diameter
canopy diameter
grass
grassland
alometría
diámetro basal
diámetro de canopia
gramínea
pastizales
title_short Multi-species allometric models to predict biomass in tropical high Andean grasslands
title_full Multi-species allometric models to predict biomass in tropical high Andean grasslands
title_fullStr Multi-species allometric models to predict biomass in tropical high Andean grasslands
title_full_unstemmed Multi-species allometric models to predict biomass in tropical high Andean grasslands
title_sort Multi-species allometric models to predict biomass in tropical high Andean grasslands
dc.creator.none.fl_str_mv Trillo Zárate, Fritz Carlos
Barrantes Campos, Cecilio
Romero Delgado, Gelver
Tito Quispe, Edson
Quiroga Espilco, Pamela
Nuñez Delgado, Jimny
author Trillo Zárate, Fritz Carlos
author_facet Trillo Zárate, Fritz Carlos
Barrantes Campos, Cecilio
Romero Delgado, Gelver
Tito Quispe, Edson
Quiroga Espilco, Pamela
Nuñez Delgado, Jimny
author_role author
author2 Barrantes Campos, Cecilio
Romero Delgado, Gelver
Tito Quispe, Edson
Quiroga Espilco, Pamela
Nuñez Delgado, Jimny
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv allometry
basal diameter
canopy diameter
grass
grassland
alometría
diámetro basal
diámetro de canopia
gramínea
pastizales
topic allometry
basal diameter
canopy diameter
grass
grassland
alometría
diámetro basal
diámetro de canopia
gramínea
pastizales
description The models of growth and allometry of grasslands allow to know growth and development phenomena. Consequently, the aim of this study was to develop a multi-species allometric model to estimate biomass in three grasses in the High Andean Zone of Jauja, Peru, at an altitude of 3600 m above sea level. The native grasses were Festuca dolichophylla (J. Presl) tall (50-90 cm), Festuca humilior (Nees & Meyen) medium (20-35 cm) and Calamagrostis vicugnarum (Weddell) Pilger short (5- 25 cm). The measured variables were biomass (g, YB), basal diameter (cm, XD), canopy diameter (cm, XC) and height (cm, XH). The potential regression was used by choosing the strength of the models by the Akaike criterion (IAC) and the adjusted coefficient of determination (adjusted R2). The multispecies allometric model was Y = 1,238 * XD2,231, due to its lower IAC (383.795) and higher adjusted R2 (85.4%). C. vicugnarum (Weddell) Pilger had an effect on the multi-species model based on the basal diameter. The multi-species model in F. dolichophylla (J. Presl) shows average estimates at 37% below the individual model. The explanatory variable of basal diameter has greater modelling strength for native grass grasses. It should also be considered that the height of the flag leaf had a greater strength than the diameter of the canopy. The multispecies allometric models allowed to increase the predictive strength in species of high, medium and low size; however, the behaviour of the slope in C. vicugnarum (Weddell) Pilger and the multispecies and individual model relationship in F. dolichophylla (J. Presl) must be considered.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-24
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://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/19034
10.15381/rivep.v31i4.19034
url https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/19034
identifier_str_mv 10.15381/rivep.v31i4.19034
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/19034/16022
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos, Facultad de Medicina Veterinaria
publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos, Facultad de Medicina Veterinaria
dc.source.none.fl_str_mv Revista de Investigaciones Veterinarias del Perú; Vol. 31 Núm. 4 (2020); e19034
Revista de Investigaciones Veterinarias del Perú; Vol. 31 No. 4 (2020); e19034
1682-3419
1609-9117
reponame:Revistas - Universidad Nacional Mayor de San Marcos
instname:Universidad Nacional Mayor de San Marcos
instacron:UNMSM
instname_str Universidad Nacional Mayor de San Marcos
instacron_str UNMSM
institution UNMSM
reponame_str Revistas - Universidad Nacional Mayor de San Marcos
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repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Multi-species allometric models to predict biomass in tropical high Andean grasslandsModelos alométricos multiespecie para predecir biomasa en pajonales altoandinos tropicalesTrillo Zárate, Fritz CarlosBarrantes Campos, CecilioRomero Delgado, GelverTito Quispe, EdsonQuiroga Espilco, PamelaNuñez Delgado, Jimnyallometrybasal diametercanopy diametergrassgrasslandalometríadiámetro basaldiámetro de canopiagramíneapastizalesThe models of growth and allometry of grasslands allow to know growth and development phenomena. Consequently, the aim of this study was to develop a multi-species allometric model to estimate biomass in three grasses in the High Andean Zone of Jauja, Peru, at an altitude of 3600 m above sea level. The native grasses were Festuca dolichophylla (J. Presl) tall (50-90 cm), Festuca humilior (Nees & Meyen) medium (20-35 cm) and Calamagrostis vicugnarum (Weddell) Pilger short (5- 25 cm). The measured variables were biomass (g, YB), basal diameter (cm, XD), canopy diameter (cm, XC) and height (cm, XH). The potential regression was used by choosing the strength of the models by the Akaike criterion (IAC) and the adjusted coefficient of determination (adjusted R2). The multispecies allometric model was Y = 1,238 * XD2,231, due to its lower IAC (383.795) and higher adjusted R2 (85.4%). C. vicugnarum (Weddell) Pilger had an effect on the multi-species model based on the basal diameter. The multi-species model in F. dolichophylla (J. Presl) shows average estimates at 37% below the individual model. The explanatory variable of basal diameter has greater modelling strength for native grass grasses. It should also be considered that the height of the flag leaf had a greater strength than the diameter of the canopy. The multispecies allometric models allowed to increase the predictive strength in species of high, medium and low size; however, the behaviour of the slope in C. vicugnarum (Weddell) Pilger and the multispecies and individual model relationship in F. dolichophylla (J. Presl) must be considered.Los modelos de crecimiento y alometría de los pastizales permiten conocer fenómenos de crecimiento y desarrollo. En consecuencia, el objetivo del estudio fue desarrollar un modelo alométrico multiespecie para estimar biomasa en tres gramíneas de la zona altoandina de Jauja, Perú, a una altitud de 3600 msnm. Las gramíneas nativas fueron Festuca dolichophylla (J. Presl) de porte alto (50-90 cm), Festuca humilior (Nees & Meyen) de porte mediano (20-35 cm) y Calamagrostis vicugnarum (Weddell) Pilger de porte bajo (5-25 cm). Las variables medidas fueron: biomasa (g, YB), diámetro basal (cm, XD), diámetro canopia (cm, XC) y altura (cm, XH). Se utilizó la regresión potencial eligiendo la fortaleza de los modelos por el criterio de Akaike (IAC) y el coeficiente de determinación ajustado (R2ajustado). El modelo alométrico multiespecie fue Y = 1.238 * XD2.231, debido a su menor IAC (383.795) y mayor R2 ajustado (85.4%). C. vicugnarum (Weddell) Pilger tuvo un efecto sobre el modelo multiespecie basado en el diámetro basal. El modelo multiespecie en F. dolichophylla (J. Presl) muestra estimados promedio en 37% por debajo del modelo individual. La variable explicativa de diámetro basal tiene mayor fortaleza en el modelamiento para gramíneas nativas de pastizales. También se debe considerar que la altura a la hoja bandera tuvo una mayor fortaleza que el diámetro de la canopia. Los modelos alométricos multiespecies permitieron aumentar la fortaleza predictiva en especies de porte alto, mediano y bajo; sin embargo, hay que considerar el comportamiento de la pendiente en C. vicugnarum (Weddell) Pilger y la relación modelo multiespecie e individual en F. dolichophylla (J. Presl).Universidad Nacional Mayor de San Marcos, Facultad de Medicina Veterinaria2020-11-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/1903410.15381/rivep.v31i4.19034Revista de Investigaciones Veterinarias del Perú; Vol. 31 Núm. 4 (2020); e19034Revista de Investigaciones Veterinarias del Perú; Vol. 31 No. 4 (2020); e190341682-34191609-9117reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/19034/16022Derechos de autor 2020 Fritz Carlos Trillo Zárate, Cecilio Barrantes Campos, Gelver Romero Delgado, Edson Tito Quispe, Pamela Quiroga Espilco, Jimny Nuñez Delgadohttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/190342020-11-26T23:08:49Z
score 13.940932
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