Biomass estimation for native perennial grasses in the plain of Mendoza, Argentina

Autores
Guevara, Juan Carlos; Gonnet, Jorge Marcelo; Estevez, Oscar Roberto
Año de publicación
2002
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Plant allometric relationships were studied at the end of the 1999-2000 growing season for eight grasses. Logarithmic regressions were developed relating above-ground biomass to dimensional measurements or to tiller density. Basal diameters (the longest and the greatest perpendicular to the first) and plant height (defined as that reached by vegetative tillers) were recorded on individual plants of tussock grasses. The number of tillers per 1 m2 plot was counted for a rhizomatous grass. Our study proved that regression models including basal area or a combination of basal area and height as independent variables gave a good fit to the biomass data for tussock grasses. Density of tillers proved to be a good predictor of biomass for a rhizomatous species. A validation test using 20% of the data not used for estimating the regression equations indicated that these models made accurate prediction of grass biomass. Further work is needed to prove if there are year-to-year differences between models.
Fil: Guevara, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina
Fil: Gonnet, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina
Fil: Estevez, Oscar Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina
Materia
ABOVE-GROUND BIOMASS
ALLOMETRIC RELATIONS
BASAL AREA
GRASSES
MODEL VALIDATION
PLANT HEIGHT
TILLER NUMBER
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/177157
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Biomass estimation for native perennial grasses in the plain of Mendoza, ArgentinaGuevara, Juan CarlosGonnet, Jorge MarceloEstevez, Oscar RobertoABOVE-GROUND BIOMASSALLOMETRIC RELATIONSBASAL AREAGRASSESMODEL VALIDATIONPLANT HEIGHTTILLER NUMBERhttps://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5Plant allometric relationships were studied at the end of the 1999-2000 growing season for eight grasses. Logarithmic regressions were developed relating above-ground biomass to dimensional measurements or to tiller density. Basal diameters (the longest and the greatest perpendicular to the first) and plant height (defined as that reached by vegetative tillers) were recorded on individual plants of tussock grasses. The number of tillers per 1 m2 plot was counted for a rhizomatous grass. Our study proved that regression models including basal area or a combination of basal area and height as independent variables gave a good fit to the biomass data for tussock grasses. Density of tillers proved to be a good predictor of biomass for a rhizomatous species. A validation test using 20% of the data not used for estimating the regression equations indicated that these models made accurate prediction of grass biomass. Further work is needed to prove if there are year-to-year differences between models.Fil: Guevara, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; ArgentinaFil: Gonnet, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; ArgentinaFil: Estevez, Oscar Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; ArgentinaAcademic Press Ltd - Elsevier Science Ltd2002-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/177157Guevara, Juan Carlos; Gonnet, Jorge Marcelo; Estevez, Oscar Roberto; Biomass estimation for native perennial grasses in the plain of Mendoza, Argentina; Academic Press Ltd - Elsevier Science Ltd; Journal of Arid Environments; 50; 4; 12-2002; 613-6190140-1963CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0140196301909152info:eu-repo/semantics/altIdentifier/doi/10.1006/jare.2001.0915info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:48:40Zoai:ri.conicet.gov.ar:11336/177157instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:48:41.352CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Biomass estimation for native perennial grasses in the plain of Mendoza, Argentina
title Biomass estimation for native perennial grasses in the plain of Mendoza, Argentina
spellingShingle Biomass estimation for native perennial grasses in the plain of Mendoza, Argentina
Guevara, Juan Carlos
ABOVE-GROUND BIOMASS
ALLOMETRIC RELATIONS
BASAL AREA
GRASSES
MODEL VALIDATION
PLANT HEIGHT
TILLER NUMBER
title_short Biomass estimation for native perennial grasses in the plain of Mendoza, Argentina
title_full Biomass estimation for native perennial grasses in the plain of Mendoza, Argentina
title_fullStr Biomass estimation for native perennial grasses in the plain of Mendoza, Argentina
title_full_unstemmed Biomass estimation for native perennial grasses in the plain of Mendoza, Argentina
title_sort Biomass estimation for native perennial grasses in the plain of Mendoza, Argentina
dc.creator.none.fl_str_mv Guevara, Juan Carlos
Gonnet, Jorge Marcelo
Estevez, Oscar Roberto
author Guevara, Juan Carlos
author_facet Guevara, Juan Carlos
Gonnet, Jorge Marcelo
Estevez, Oscar Roberto
author_role author
author2 Gonnet, Jorge Marcelo
Estevez, Oscar Roberto
author2_role author
author
dc.subject.none.fl_str_mv ABOVE-GROUND BIOMASS
ALLOMETRIC RELATIONS
BASAL AREA
GRASSES
MODEL VALIDATION
PLANT HEIGHT
TILLER NUMBER
topic ABOVE-GROUND BIOMASS
ALLOMETRIC RELATIONS
BASAL AREA
GRASSES
MODEL VALIDATION
PLANT HEIGHT
TILLER NUMBER
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Plant allometric relationships were studied at the end of the 1999-2000 growing season for eight grasses. Logarithmic regressions were developed relating above-ground biomass to dimensional measurements or to tiller density. Basal diameters (the longest and the greatest perpendicular to the first) and plant height (defined as that reached by vegetative tillers) were recorded on individual plants of tussock grasses. The number of tillers per 1 m2 plot was counted for a rhizomatous grass. Our study proved that regression models including basal area or a combination of basal area and height as independent variables gave a good fit to the biomass data for tussock grasses. Density of tillers proved to be a good predictor of biomass for a rhizomatous species. A validation test using 20% of the data not used for estimating the regression equations indicated that these models made accurate prediction of grass biomass. Further work is needed to prove if there are year-to-year differences between models.
Fil: Guevara, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina
Fil: Gonnet, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina
Fil: Estevez, Oscar Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina
description Plant allometric relationships were studied at the end of the 1999-2000 growing season for eight grasses. Logarithmic regressions were developed relating above-ground biomass to dimensional measurements or to tiller density. Basal diameters (the longest and the greatest perpendicular to the first) and plant height (defined as that reached by vegetative tillers) were recorded on individual plants of tussock grasses. The number of tillers per 1 m2 plot was counted for a rhizomatous grass. Our study proved that regression models including basal area or a combination of basal area and height as independent variables gave a good fit to the biomass data for tussock grasses. Density of tillers proved to be a good predictor of biomass for a rhizomatous species. A validation test using 20% of the data not used for estimating the regression equations indicated that these models made accurate prediction of grass biomass. Further work is needed to prove if there are year-to-year differences between models.
publishDate 2002
dc.date.none.fl_str_mv 2002-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/177157
Guevara, Juan Carlos; Gonnet, Jorge Marcelo; Estevez, Oscar Roberto; Biomass estimation for native perennial grasses in the plain of Mendoza, Argentina; Academic Press Ltd - Elsevier Science Ltd; Journal of Arid Environments; 50; 4; 12-2002; 613-619
0140-1963
CONICET Digital
CONICET
url http://hdl.handle.net/11336/177157
identifier_str_mv Guevara, Juan Carlos; Gonnet, Jorge Marcelo; Estevez, Oscar Roberto; Biomass estimation for native perennial grasses in the plain of Mendoza, Argentina; Academic Press Ltd - Elsevier Science Ltd; Journal of Arid Environments; 50; 4; 12-2002; 613-619
0140-1963
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0140196301909152
info:eu-repo/semantics/altIdentifier/doi/10.1006/jare.2001.0915
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Academic Press Ltd - Elsevier Science Ltd
publisher.none.fl_str_mv Academic Press Ltd - Elsevier Science Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842268935211188224
score 13.13397

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