Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic Saltmarshes

Autores
Gonzalez Trilla, Gabriela Liliana; Borro, María Marta; Morandeira, Natalia Soledad; Schivo, Facundo Mauro; Kandus, Patricia; Marcovecchio, Jorge Eduardo
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Southwest Atlantic saltmarshes are characterized by the presence of Spartina alterniflora in the lower intertidal zones and Spartina densiflora in the middle to high tidal elevations. Because of its dominance and productivity and its central role in carbon and energy fluxes, Spartina spp. biomass and primary production have been extensively studied by different techniques. Since nondestructive techniques require relationships between tiller biomass and morphometric parameters, in this work we established allometric relations among biomass, leaf area, and size, in populations of S. densiflora and S. alterniflora from Mar Chiquita and Bahía Blanca, Argentina. We collected 743 standing tillers of S. densiflora and 663 of S. alterniflora from different dates, conditions (green, flowered, and dead), and sources (high and low marsh). We obtained strong correlations between all the morphometric parameters. Leaf area and leaf length were strongly related (R2 = 0.84 for S. densiflora and 0.91 for S. alterniflora). Leaf area per tiller and tiller biomass strongly regressed on tiller height (R2 = 0.97 and 0.91 for S. densiflora and 0.88 and 0.90 for S. alterniflora, respectively) thereby facilitating estimations of these parameters. The predictive power of the biomass vs. tiller height equations was satisfactory when applied for different data types (date, condition, and source), suggesting that the models can be widely used for estimating the biomass of a tiller from its length. Moreover, the predictive power of the equations was high even for standing dead tillers, allowing us to use the same equation along the tiller's span life and facilitating detritus production estimations. The allometric relations established in this study may be used to estimate Spartina biomass and leaf area at the study sites, with strong implications in the monitoring and assessment of saltmarshes.
Fil: Gonzalez Trilla, Gabriela Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Borro, María Marta. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Morandeira, Natalia Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Schivo, Facundo Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Kandus, Patricia. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Marcovecchio, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Materia
ALLOMETRY
ARGENTINA
BAHÍA BLANCA
BIOMASS ESTIMATION
MAR CHIQUITA
SPARTINA SPP. MARSH
TILLER LENGTH
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:11336/88201
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/88201
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic SaltmarshesGonzalez Trilla, Gabriela LilianaBorro, María MartaMorandeira, Natalia SoledadSchivo, Facundo MauroKandus, PatriciaMarcovecchio, Jorge EduardoALLOMETRYARGENTINABAHÍA BLANCABIOMASS ESTIMATIONMAR CHIQUITASPARTINA SPP. MARSHTILLER LENGTHhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Southwest Atlantic saltmarshes are characterized by the presence of Spartina alterniflora in the lower intertidal zones and Spartina densiflora in the middle to high tidal elevations. Because of its dominance and productivity and its central role in carbon and energy fluxes, Spartina spp. biomass and primary production have been extensively studied by different techniques. Since nondestructive techniques require relationships between tiller biomass and morphometric parameters, in this work we established allometric relations among biomass, leaf area, and size, in populations of S. densiflora and S. alterniflora from Mar Chiquita and Bahía Blanca, Argentina. We collected 743 standing tillers of S. densiflora and 663 of S. alterniflora from different dates, conditions (green, flowered, and dead), and sources (high and low marsh). We obtained strong correlations between all the morphometric parameters. Leaf area and leaf length were strongly related (R2 = 0.84 for S. densiflora and 0.91 for S. alterniflora). Leaf area per tiller and tiller biomass strongly regressed on tiller height (R2 = 0.97 and 0.91 for S. densiflora and 0.88 and 0.90 for S. alterniflora, respectively) thereby facilitating estimations of these parameters. The predictive power of the biomass vs. tiller height equations was satisfactory when applied for different data types (date, condition, and source), suggesting that the models can be widely used for estimating the biomass of a tiller from its length. Moreover, the predictive power of the equations was high even for standing dead tillers, allowing us to use the same equation along the tiller's span life and facilitating detritus production estimations. The allometric relations established in this study may be used to estimate Spartina biomass and leaf area at the study sites, with strong implications in the monitoring and assessment of saltmarshes.Fil: Gonzalez Trilla, Gabriela Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; ArgentinaFil: Borro, María Marta. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; ArgentinaFil: Morandeira, Natalia Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; ArgentinaFil: Schivo, Facundo Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; ArgentinaFil: Kandus, Patricia. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; ArgentinaFil: Marcovecchio, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; ArgentinaCoastal Education & Research Foundation2013-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/88201Gonzalez Trilla, Gabriela Liliana; Borro, María Marta; Morandeira, Natalia Soledad; Schivo, Facundo Mauro; Kandus, Patricia; et al.; Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic Saltmarshes; Coastal Education & Research Foundation; Journal of Coastal Research; 29; 6; 11-2013; 1373-13810749-0208CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.2112/JCOASTRES-D-11-00201.1info:eu-repo/semantics/altIdentifier/url/https://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-11-00201.1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:47:58Zoai:ri.conicet.gov.ar:11336/88201instacron: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 09:47:58.422CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic Saltmarshes
title Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic Saltmarshes
spellingShingle Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic Saltmarshes
Gonzalez Trilla, Gabriela Liliana
ALLOMETRY
ARGENTINA
BAHÍA BLANCA
BIOMASS ESTIMATION
MAR CHIQUITA
SPARTINA SPP. MARSH
TILLER LENGTH
title_short Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic Saltmarshes
title_full Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic Saltmarshes
title_fullStr Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic Saltmarshes
title_full_unstemmed Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic Saltmarshes
title_sort Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic Saltmarshes
dc.creator.none.fl_str_mv Gonzalez Trilla, Gabriela Liliana
Borro, María Marta
Morandeira, Natalia Soledad
Schivo, Facundo Mauro
Kandus, Patricia
Marcovecchio, Jorge Eduardo
author Gonzalez Trilla, Gabriela Liliana
author_facet Gonzalez Trilla, Gabriela Liliana
Borro, María Marta
Morandeira, Natalia Soledad
Schivo, Facundo Mauro
Kandus, Patricia
Marcovecchio, Jorge Eduardo
author_role author
author2 Borro, María Marta
Morandeira, Natalia Soledad
Schivo, Facundo Mauro
Kandus, Patricia
Marcovecchio, Jorge Eduardo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv ALLOMETRY
ARGENTINA
BAHÍA BLANCA
BIOMASS ESTIMATION
MAR CHIQUITA
SPARTINA SPP. MARSH
TILLER LENGTH
topic ALLOMETRY
ARGENTINA
BAHÍA BLANCA
BIOMASS ESTIMATION
MAR CHIQUITA
SPARTINA SPP. MARSH
TILLER LENGTH
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Southwest Atlantic saltmarshes are characterized by the presence of Spartina alterniflora in the lower intertidal zones and Spartina densiflora in the middle to high tidal elevations. Because of its dominance and productivity and its central role in carbon and energy fluxes, Spartina spp. biomass and primary production have been extensively studied by different techniques. Since nondestructive techniques require relationships between tiller biomass and morphometric parameters, in this work we established allometric relations among biomass, leaf area, and size, in populations of S. densiflora and S. alterniflora from Mar Chiquita and Bahía Blanca, Argentina. We collected 743 standing tillers of S. densiflora and 663 of S. alterniflora from different dates, conditions (green, flowered, and dead), and sources (high and low marsh). We obtained strong correlations between all the morphometric parameters. Leaf area and leaf length were strongly related (R2 = 0.84 for S. densiflora and 0.91 for S. alterniflora). Leaf area per tiller and tiller biomass strongly regressed on tiller height (R2 = 0.97 and 0.91 for S. densiflora and 0.88 and 0.90 for S. alterniflora, respectively) thereby facilitating estimations of these parameters. The predictive power of the biomass vs. tiller height equations was satisfactory when applied for different data types (date, condition, and source), suggesting that the models can be widely used for estimating the biomass of a tiller from its length. Moreover, the predictive power of the equations was high even for standing dead tillers, allowing us to use the same equation along the tiller's span life and facilitating detritus production estimations. The allometric relations established in this study may be used to estimate Spartina biomass and leaf area at the study sites, with strong implications in the monitoring and assessment of saltmarshes.
Fil: Gonzalez Trilla, Gabriela Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Borro, María Marta. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Morandeira, Natalia Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Schivo, Facundo Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Kandus, Patricia. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Marcovecchio, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
description Southwest Atlantic saltmarshes are characterized by the presence of Spartina alterniflora in the lower intertidal zones and Spartina densiflora in the middle to high tidal elevations. Because of its dominance and productivity and its central role in carbon and energy fluxes, Spartina spp. biomass and primary production have been extensively studied by different techniques. Since nondestructive techniques require relationships between tiller biomass and morphometric parameters, in this work we established allometric relations among biomass, leaf area, and size, in populations of S. densiflora and S. alterniflora from Mar Chiquita and Bahía Blanca, Argentina. We collected 743 standing tillers of S. densiflora and 663 of S. alterniflora from different dates, conditions (green, flowered, and dead), and sources (high and low marsh). We obtained strong correlations between all the morphometric parameters. Leaf area and leaf length were strongly related (R2 = 0.84 for S. densiflora and 0.91 for S. alterniflora). Leaf area per tiller and tiller biomass strongly regressed on tiller height (R2 = 0.97 and 0.91 for S. densiflora and 0.88 and 0.90 for S. alterniflora, respectively) thereby facilitating estimations of these parameters. The predictive power of the biomass vs. tiller height equations was satisfactory when applied for different data types (date, condition, and source), suggesting that the models can be widely used for estimating the biomass of a tiller from its length. Moreover, the predictive power of the equations was high even for standing dead tillers, allowing us to use the same equation along the tiller's span life and facilitating detritus production estimations. The allometric relations established in this study may be used to estimate Spartina biomass and leaf area at the study sites, with strong implications in the monitoring and assessment of saltmarshes.
publishDate 2013
dc.date.none.fl_str_mv 2013-11
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/11336/88201
Gonzalez Trilla, Gabriela Liliana; Borro, María Marta; Morandeira, Natalia Soledad; Schivo, Facundo Mauro; Kandus, Patricia; et al.; Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic Saltmarshes; Coastal Education & Research Foundation; Journal of Coastal Research; 29; 6; 11-2013; 1373-1381
0749-0208
CONICET Digital
CONICET
url http://hdl.handle.net/11336/88201
identifier_str_mv Gonzalez Trilla, Gabriela Liliana; Borro, María Marta; Morandeira, Natalia Soledad; Schivo, Facundo Mauro; Kandus, Patricia; et al.; Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic Saltmarshes; Coastal Education & Research Foundation; Journal of Coastal Research; 29; 6; 11-2013; 1373-1381
0749-0208
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.2112/JCOASTRES-D-11-00201.1
info:eu-repo/semantics/altIdentifier/url/https://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-11-00201.1
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
dc.publisher.none.fl_str_mv Coastal Education & Research Foundation
publisher.none.fl_str_mv Coastal Education & Research Foundation
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 13.13397

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