Double Sampling Methods in Biomass Estimates of Andean Shrubs and Tussocks

Autores
Rojo, Veronica; Arzamendia, Yanina; Pérez, C.; Baldo, Jorge Luis; Vila, Bibiana Leonor
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The natural Andean vegetation environment is the most important resource available to local pastoralist economies. Knowledge of its attributes is vital in assessing ecosystem properties and improves management decision making. However, there is a lack of research on models that estimate species and life-form biomass for the Puna. We developed a series of models that facilitated the estimation of biomass while avoiding the direct harvesting of the most representative Puna steppe plant species in Jujuy, Argentina. The models thus developed are useful tools in the evaluation of changes in ecosystem dynamics through time and space. Allometric equations were developed for the dominant shrubs (Baccharis boliviensis, Fabiana densa, Parastrephia quadrangularis, Tetraglochin cristatum, Ocyroe armata, and Adesmia sp.) and tussock grasses (Jarava ichu, Festuca crysophylla, and Cenchrus chilense). A field record of the maximum diameter, perpendicular diameter, and height of each plant; number of individuals per plot; and tussock grasses and shrub cover across all vegetation communities was undertaken. Linear regressions including plant measures demonstrated a good fit (R2 > 0.7, P < 0.001) to the biomass for individual plants and surface area. The predictive equations developed allow for the rapid and accurate estimation of shrub and tussock biomass. This is essential to monitor the effects of grazing for impact assessment of the different management practices and vegetation dynamics.
Fil: Rojo, Veronica. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina. VICAM; Argentina
Fil: Arzamendia, Yanina. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina. Universidad Nacional de Jujuy. Facultad de Ciencias Agrarias; Argentina. VICAM; Argentina
Fil: Pérez, C.. Universidad Nacional de la Plata. Facultad de Ciencias Agrarias y Forestales. Laboratorio de Investigacion de Sistemas Ecologicos y Ambientales; Argentina
Fil: Baldo, Jorge Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Jujuy. Facultad de Ciencias Agrarias; Argentina. VICAM; Argentina
Fil: Vila, Bibiana Leonor. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina. VICAM; Argentina
Materia
Biomass
Puna
Shrubs
Tussocks
Vegetation
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:11336/64633
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/64633
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Double Sampling Methods in Biomass Estimates of Andean Shrubs and TussocksRojo, VeronicaArzamendia, YaninaPérez, C.Baldo, Jorge LuisVila, Bibiana LeonorBiomassPunaShrubsTussocksVegetationhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The natural Andean vegetation environment is the most important resource available to local pastoralist economies. Knowledge of its attributes is vital in assessing ecosystem properties and improves management decision making. However, there is a lack of research on models that estimate species and life-form biomass for the Puna. We developed a series of models that facilitated the estimation of biomass while avoiding the direct harvesting of the most representative Puna steppe plant species in Jujuy, Argentina. The models thus developed are useful tools in the evaluation of changes in ecosystem dynamics through time and space. Allometric equations were developed for the dominant shrubs (Baccharis boliviensis, Fabiana densa, Parastrephia quadrangularis, Tetraglochin cristatum, Ocyroe armata, and Adesmia sp.) and tussock grasses (Jarava ichu, Festuca crysophylla, and Cenchrus chilense). A field record of the maximum diameter, perpendicular diameter, and height of each plant; number of individuals per plot; and tussock grasses and shrub cover across all vegetation communities was undertaken. Linear regressions including plant measures demonstrated a good fit (R2 > 0.7, P < 0.001) to the biomass for individual plants and surface area. The predictive equations developed allow for the rapid and accurate estimation of shrub and tussock biomass. This is essential to monitor the effects of grazing for impact assessment of the different management practices and vegetation dynamics.Fil: Rojo, Veronica. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina. VICAM; ArgentinaFil: Arzamendia, Yanina. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina. Universidad Nacional de Jujuy. Facultad de Ciencias Agrarias; Argentina. VICAM; ArgentinaFil: Pérez, C.. Universidad Nacional de la Plata. Facultad de Ciencias Agrarias y Forestales. Laboratorio de Investigacion de Sistemas Ecologicos y Ambientales; ArgentinaFil: Baldo, Jorge Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Jujuy. Facultad de Ciencias Agrarias; Argentina. VICAM; ArgentinaFil: Vila, Bibiana Leonor. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina. VICAM; ArgentinaSociety for Range Management2017-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/64633Rojo, Veronica; Arzamendia, Yanina; Pérez, C.; Baldo, Jorge Luis; Vila, Bibiana Leonor; Double Sampling Methods in Biomass Estimates of Andean Shrubs and Tussocks; Society for Range Management; Rangeland Ecology and Management; 70; 6; 11-2017; 718-7221550-7424CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S1550742417300593info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rama.2017.06.003info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:38:50Zoai:ri.conicet.gov.ar:11336/64633instacron: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:34982025-09-29 09:38:50.438CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Double Sampling Methods in Biomass Estimates of Andean Shrubs and Tussocks
title Double Sampling Methods in Biomass Estimates of Andean Shrubs and Tussocks
spellingShingle Double Sampling Methods in Biomass Estimates of Andean Shrubs and Tussocks
Rojo, Veronica
Biomass
Puna
Shrubs
Tussocks
Vegetation
title_short Double Sampling Methods in Biomass Estimates of Andean Shrubs and Tussocks
title_full Double Sampling Methods in Biomass Estimates of Andean Shrubs and Tussocks
title_fullStr Double Sampling Methods in Biomass Estimates of Andean Shrubs and Tussocks
title_full_unstemmed Double Sampling Methods in Biomass Estimates of Andean Shrubs and Tussocks
title_sort Double Sampling Methods in Biomass Estimates of Andean Shrubs and Tussocks
dc.creator.none.fl_str_mv Rojo, Veronica
Arzamendia, Yanina
Pérez, C.
Baldo, Jorge Luis
Vila, Bibiana Leonor
author Rojo, Veronica
author_facet Rojo, Veronica
Arzamendia, Yanina
Pérez, C.
Baldo, Jorge Luis
Vila, Bibiana Leonor
author_role author
author2 Arzamendia, Yanina
Pérez, C.
Baldo, Jorge Luis
Vila, Bibiana Leonor
author2_role author
author
author
author
dc.subject.none.fl_str_mv Biomass
Puna
Shrubs
Tussocks
Vegetation
topic Biomass
Puna
Shrubs
Tussocks
Vegetation
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The natural Andean vegetation environment is the most important resource available to local pastoralist economies. Knowledge of its attributes is vital in assessing ecosystem properties and improves management decision making. However, there is a lack of research on models that estimate species and life-form biomass for the Puna. We developed a series of models that facilitated the estimation of biomass while avoiding the direct harvesting of the most representative Puna steppe plant species in Jujuy, Argentina. The models thus developed are useful tools in the evaluation of changes in ecosystem dynamics through time and space. Allometric equations were developed for the dominant shrubs (Baccharis boliviensis, Fabiana densa, Parastrephia quadrangularis, Tetraglochin cristatum, Ocyroe armata, and Adesmia sp.) and tussock grasses (Jarava ichu, Festuca crysophylla, and Cenchrus chilense). A field record of the maximum diameter, perpendicular diameter, and height of each plant; number of individuals per plot; and tussock grasses and shrub cover across all vegetation communities was undertaken. Linear regressions including plant measures demonstrated a good fit (R2 > 0.7, P < 0.001) to the biomass for individual plants and surface area. The predictive equations developed allow for the rapid and accurate estimation of shrub and tussock biomass. This is essential to monitor the effects of grazing for impact assessment of the different management practices and vegetation dynamics.
Fil: Rojo, Veronica. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina. VICAM; Argentina
Fil: Arzamendia, Yanina. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina. Universidad Nacional de Jujuy. Facultad de Ciencias Agrarias; Argentina. VICAM; Argentina
Fil: Pérez, C.. Universidad Nacional de la Plata. Facultad de Ciencias Agrarias y Forestales. Laboratorio de Investigacion de Sistemas Ecologicos y Ambientales; Argentina
Fil: Baldo, Jorge Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Jujuy. Facultad de Ciencias Agrarias; Argentina. VICAM; Argentina
Fil: Vila, Bibiana Leonor. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina. VICAM; Argentina
description The natural Andean vegetation environment is the most important resource available to local pastoralist economies. Knowledge of its attributes is vital in assessing ecosystem properties and improves management decision making. However, there is a lack of research on models that estimate species and life-form biomass for the Puna. We developed a series of models that facilitated the estimation of biomass while avoiding the direct harvesting of the most representative Puna steppe plant species in Jujuy, Argentina. The models thus developed are useful tools in the evaluation of changes in ecosystem dynamics through time and space. Allometric equations were developed for the dominant shrubs (Baccharis boliviensis, Fabiana densa, Parastrephia quadrangularis, Tetraglochin cristatum, Ocyroe armata, and Adesmia sp.) and tussock grasses (Jarava ichu, Festuca crysophylla, and Cenchrus chilense). A field record of the maximum diameter, perpendicular diameter, and height of each plant; number of individuals per plot; and tussock grasses and shrub cover across all vegetation communities was undertaken. Linear regressions including plant measures demonstrated a good fit (R2 > 0.7, P < 0.001) to the biomass for individual plants and surface area. The predictive equations developed allow for the rapid and accurate estimation of shrub and tussock biomass. This is essential to monitor the effects of grazing for impact assessment of the different management practices and vegetation dynamics.
publishDate 2017
dc.date.none.fl_str_mv 2017-11
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/11336/64633
Rojo, Veronica; Arzamendia, Yanina; Pérez, C.; Baldo, Jorge Luis; Vila, Bibiana Leonor; Double Sampling Methods in Biomass Estimates of Andean Shrubs and Tussocks; Society for Range Management; Rangeland Ecology and Management; 70; 6; 11-2017; 718-722
1550-7424
CONICET Digital
CONICET
url http://hdl.handle.net/11336/64633
identifier_str_mv Rojo, Veronica; Arzamendia, Yanina; Pérez, C.; Baldo, Jorge Luis; Vila, Bibiana Leonor; Double Sampling Methods in Biomass Estimates of Andean Shrubs and Tussocks; Society for Range Management; Rangeland Ecology and Management; 70; 6; 11-2017; 718-722
1550-7424
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S1550742417300593
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rama.2017.06.003
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
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Society for Range Management
publisher.none.fl_str_mv Society for Range Management
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
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score 13.070432

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