Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock

Autores
Conti, Georgina; Conti, Georgina; Enrico, Lucas; Enrico, Lucas; Casanoves, Fernando; Casanoves, Fernando; Diaz, Sandra Myrna; Diaz, Sandra Myrna
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Abstract & Context The quantification of biomass of woody plants is at the basis of calculations of forest biomass and carbon stocks. Although there are well-developed allometric models for trees, they do not apply well to shrubs, and shrub-specific allometric models are scarce. There is therefore a need for a standardized methodology to quantify biomass and carbon stocks in open forests and woodlands. & Aims To develop species-specific biomass estimation models for common shrubs, as well as a multispecies shrub model, for the subtropical semiarid Chaco forest of central Argentina. & Methods Eight shrub species (Acacia aroma, Acacia gilliesii, Aloysia gratissima, Capparis atamisquea, Celtis ehrenbergiana, Larrea divaricata, Mimozyganthus carinatus, and Moya spinosa) were selected, and, on average, 30 individuals per species were harvested. Their total individual dry biomass was related with morphometric variables using regression analysis. & Results Crown area as well as crown-shaped variables proved to be the variables with the best performance for both species-specific and multispecies shrub models. These allometric variables are thus recommended for standardized shrub biomass assessments. & Conclusion By accounting for the shrub component of the vegetation, our models provide a way to improve the quantification of biomass and carbon in semiarid open forest and woodlands.
Abstract & Context The quantification of biomass of woody plants is at the basis of calculations of forest biomass and carbon stocks. Although there are well-developed allometric models for trees, they do not apply well to shrubs, and shrub-specific allometric models are scarce. There is therefore a need for a standardized methodology to quantify biomass and carbon stocks in open forests and woodlands. & Aims To develop species-specific biomass estimation models for common shrubs, as well as a multispecies shrub model, for the subtropical semiarid Chaco forest of central Argentina. & Methods Eight shrub species (Acacia aroma, Acacia gilliesii, Aloysia gratissima, Capparis atamisquea, Celtis ehrenbergiana, Larrea divaricata, Mimozyganthus carinatus, and Moya spinosa) were selected, and, on average, 30 individuals per species were harvested. Their total individual dry biomass was related with morphometric variables using regression analysis. & Results Crown area as well as crown-shaped variables proved to be the variables with the best performance for both species-specific and multispecies shrub models. These allometric variables are thus recommended for standardized shrub biomass assessments. & Conclusion By accounting for the shrub component of the vegetation, our models provide a way to improve the quantification of biomass and carbon in semiarid open forest and woodlands.
Fil: Conti, Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Conti, Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Enrico, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Enrico, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Casanoves, Fernando. Biometric Unit,; Costa Rica
Fil: Casanoves, Fernando. Biometric Unit,; Costa Rica
Fil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Materia
Allometric Models
Allometric Models
Biomass Quantification
Biomass Quantification
Carbon Inventories
Carbon Inventories
Chaco
Chaco
Dimensional Relationships
Dimensional Relationships
Shrubs
Shrubs
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:11336/10009
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/10009
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stockShrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stockConti, GeorginaConti, GeorginaEnrico, LucasEnrico, LucasCasanoves, FernandoCasanoves, FernandoDiaz, Sandra MyrnaDiaz, Sandra MyrnaAllometric ModelsAllometric ModelsBiomass QuantificationBiomass QuantificationCarbon InventoriesCarbon InventoriesChacoChacoDimensional RelationshipsDimensional RelationshipsShrubsShrubshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1Abstract & Context The quantification of biomass of woody plants is at the basis of calculations of forest biomass and carbon stocks. Although there are well-developed allometric models for trees, they do not apply well to shrubs, and shrub-specific allometric models are scarce. There is therefore a need for a standardized methodology to quantify biomass and carbon stocks in open forests and woodlands. & Aims To develop species-specific biomass estimation models for common shrubs, as well as a multispecies shrub model, for the subtropical semiarid Chaco forest of central Argentina. & Methods Eight shrub species (Acacia aroma, Acacia gilliesii, Aloysia gratissima, Capparis atamisquea, Celtis ehrenbergiana, Larrea divaricata, Mimozyganthus carinatus, and Moya spinosa) were selected, and, on average, 30 individuals per species were harvested. Their total individual dry biomass was related with morphometric variables using regression analysis. & Results Crown area as well as crown-shaped variables proved to be the variables with the best performance for both species-specific and multispecies shrub models. These allometric variables are thus recommended for standardized shrub biomass assessments. & Conclusion By accounting for the shrub component of the vegetation, our models provide a way to improve the quantification of biomass and carbon in semiarid open forest and woodlands.Abstract & Context The quantification of biomass of woody plants is at the basis of calculations of forest biomass and carbon stocks. Although there are well-developed allometric models for trees, they do not apply well to shrubs, and shrub-specific allometric models are scarce. There is therefore a need for a standardized methodology to quantify biomass and carbon stocks in open forests and woodlands. & Aims To develop species-specific biomass estimation models for common shrubs, as well as a multispecies shrub model, for the subtropical semiarid Chaco forest of central Argentina. & Methods Eight shrub species (Acacia aroma, Acacia gilliesii, Aloysia gratissima, Capparis atamisquea, Celtis ehrenbergiana, Larrea divaricata, Mimozyganthus carinatus, and Moya spinosa) were selected, and, on average, 30 individuals per species were harvested. Their total individual dry biomass was related with morphometric variables using regression analysis. & Results Crown area as well as crown-shaped variables proved to be the variables with the best performance for both species-specific and multispecies shrub models. These allometric variables are thus recommended for standardized shrub biomass assessments. & Conclusion By accounting for the shrub component of the vegetation, our models provide a way to improve the quantification of biomass and carbon in semiarid open forest and woodlands.Fil: Conti, Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); ArgentinaFil: Conti, Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); ArgentinaFil: Enrico, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); ArgentinaFil: Enrico, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); ArgentinaFil: Casanoves, Fernando. Biometric Unit,; Costa RicaFil: Casanoves, Fernando. Biometric Unit,; Costa RicaFil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); ArgentinaFil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); ArgentinaEdp SciencesEdp Sciences2013-032013-03info: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/11336/10009Conti, Georgina; Enrico, Lucas; Casanoves, Fernando; Diaz, Sandra Myrna; Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock; Edp Sciences; Annals Of Forest Science; 70; 5; 3-2013; 515-524Conti, Georgina; Enrico, Lucas; Casanoves, Fernando; Diaz, Sandra Myrna; Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock; Edp Sciences; Annals Of Forest Science; 70; 5; 3-2013; 515-5241286-45601286-4560engenginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s13595-013-0285-9info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s13595-013-0285-9info:eu-repo/semantics/altIdentifier/doi/10.1007/s13595-013-0285-9info:eu-repo/semantics/altIdentifier/doi/10.1007/s13595-013-0285-9info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:36:48Zoai:ri.conicet.gov.ar:11336/10009instacron: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 09:36:48.292CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock
Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock
title Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock
spellingShingle Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock
Conti, Georgina
Allometric Models
Allometric Models
Biomass Quantification
Biomass Quantification
Carbon Inventories
Carbon Inventories
Chaco
Chaco
Dimensional Relationships
Dimensional Relationships
Shrubs
Shrubs
title_short Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock
title_full Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock
title_fullStr Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock
title_full_unstemmed Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock
title_sort Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock
dc.creator.none.fl_str_mv Conti, Georgina
Conti, Georgina
Enrico, Lucas
Enrico, Lucas
Casanoves, Fernando
Casanoves, Fernando
Diaz, Sandra Myrna
Diaz, Sandra Myrna
author Conti, Georgina
author_facet Conti, Georgina
Enrico, Lucas
Casanoves, Fernando
Diaz, Sandra Myrna
author_role author
author2 Enrico, Lucas
Casanoves, Fernando
Diaz, Sandra Myrna
author2_role author
author
author
dc.subject.none.fl_str_mv Allometric Models
Allometric Models
Biomass Quantification
Biomass Quantification
Carbon Inventories
Carbon Inventories
Chaco
Chaco
Dimensional Relationships
Dimensional Relationships
Shrubs
Shrubs
topic Allometric Models
Allometric Models
Biomass Quantification
Biomass Quantification
Carbon Inventories
Carbon Inventories
Chaco
Chaco
Dimensional Relationships
Dimensional Relationships
Shrubs
Shrubs
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Abstract & Context The quantification of biomass of woody plants is at the basis of calculations of forest biomass and carbon stocks. Although there are well-developed allometric models for trees, they do not apply well to shrubs, and shrub-specific allometric models are scarce. There is therefore a need for a standardized methodology to quantify biomass and carbon stocks in open forests and woodlands. & Aims To develop species-specific biomass estimation models for common shrubs, as well as a multispecies shrub model, for the subtropical semiarid Chaco forest of central Argentina. & Methods Eight shrub species (Acacia aroma, Acacia gilliesii, Aloysia gratissima, Capparis atamisquea, Celtis ehrenbergiana, Larrea divaricata, Mimozyganthus carinatus, and Moya spinosa) were selected, and, on average, 30 individuals per species were harvested. Their total individual dry biomass was related with morphometric variables using regression analysis. & Results Crown area as well as crown-shaped variables proved to be the variables with the best performance for both species-specific and multispecies shrub models. These allometric variables are thus recommended for standardized shrub biomass assessments. & Conclusion By accounting for the shrub component of the vegetation, our models provide a way to improve the quantification of biomass and carbon in semiarid open forest and woodlands.
Abstract & Context The quantification of biomass of woody plants is at the basis of calculations of forest biomass and carbon stocks. Although there are well-developed allometric models for trees, they do not apply well to shrubs, and shrub-specific allometric models are scarce. There is therefore a need for a standardized methodology to quantify biomass and carbon stocks in open forests and woodlands. & Aims To develop species-specific biomass estimation models for common shrubs, as well as a multispecies shrub model, for the subtropical semiarid Chaco forest of central Argentina. & Methods Eight shrub species (Acacia aroma, Acacia gilliesii, Aloysia gratissima, Capparis atamisquea, Celtis ehrenbergiana, Larrea divaricata, Mimozyganthus carinatus, and Moya spinosa) were selected, and, on average, 30 individuals per species were harvested. Their total individual dry biomass was related with morphometric variables using regression analysis. & Results Crown area as well as crown-shaped variables proved to be the variables with the best performance for both species-specific and multispecies shrub models. These allometric variables are thus recommended for standardized shrub biomass assessments. & Conclusion By accounting for the shrub component of the vegetation, our models provide a way to improve the quantification of biomass and carbon in semiarid open forest and woodlands.
Fil: Conti, Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Conti, Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Enrico, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Enrico, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Casanoves, Fernando. Biometric Unit,; Costa Rica
Fil: Casanoves, Fernando. Biometric Unit,; Costa Rica
Fil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
description Abstract & Context The quantification of biomass of woody plants is at the basis of calculations of forest biomass and carbon stocks. Although there are well-developed allometric models for trees, they do not apply well to shrubs, and shrub-specific allometric models are scarce. There is therefore a need for a standardized methodology to quantify biomass and carbon stocks in open forests and woodlands. & Aims To develop species-specific biomass estimation models for common shrubs, as well as a multispecies shrub model, for the subtropical semiarid Chaco forest of central Argentina. & Methods Eight shrub species (Acacia aroma, Acacia gilliesii, Aloysia gratissima, Capparis atamisquea, Celtis ehrenbergiana, Larrea divaricata, Mimozyganthus carinatus, and Moya spinosa) were selected, and, on average, 30 individuals per species were harvested. Their total individual dry biomass was related with morphometric variables using regression analysis. & Results Crown area as well as crown-shaped variables proved to be the variables with the best performance for both species-specific and multispecies shrub models. These allometric variables are thus recommended for standardized shrub biomass assessments. & Conclusion By accounting for the shrub component of the vegetation, our models provide a way to improve the quantification of biomass and carbon in semiarid open forest and woodlands.
publishDate 2013
dc.date.none.fl_str_mv 2013-03
2013-03
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/11336/10009
Conti, Georgina; Enrico, Lucas; Casanoves, Fernando; Diaz, Sandra Myrna; Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock; Edp Sciences; Annals Of Forest Science; 70; 5; 3-2013; 515-524
Conti, Georgina; Enrico, Lucas; Casanoves, Fernando; Diaz, Sandra Myrna; Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock; Edp Sciences; Annals Of Forest Science; 70; 5; 3-2013; 515-524
1286-4560
1286-4560
url http://hdl.handle.net/11336/10009
identifier_str_mv Conti, Georgina; Enrico, Lucas; Casanoves, Fernando; Diaz, Sandra Myrna; Shrub biomass estimation in the semiarid Chaco forest: a contribution to the quantification of an underrated carbon stock; Edp Sciences; Annals Of Forest Science; 70; 5; 3-2013; 515-524
1286-4560
dc.language.none.fl_str_mv eng
eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s13595-013-0285-9
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info:eu-repo/semantics/altIdentifier/doi/10.1007/s13595-013-0285-9
info:eu-repo/semantics/altIdentifier/doi/10.1007/s13595-013-0285-9
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 Edp Sciences
Edp Sciences
publisher.none.fl_str_mv Edp Sciences
Edp Sciences
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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