Mostrar el registro sencillo del ítem
dc.contributor.author
Gonzalez Trilla, Gabriela Liliana
dc.contributor.author
Borro, María Marta
dc.contributor.author
Morandeira, Natalia Soledad
dc.contributor.author
Schivo, Facundo Mauro
dc.contributor.author
Kandus, Patricia
dc.contributor.author
Marcovecchio, Jorge Eduardo
dc.date.available
2019-11-07T18:31:06Z
dc.date.issued
2013-11
dc.identifier.citation
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
dc.identifier.issn
0749-0208
dc.identifier.uri
http://hdl.handle.net/11336/88201
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Coastal Education & Research Foundation
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ALLOMETRY
dc.subject
ARGENTINA
dc.subject
BAHÍA BLANCA
dc.subject
BIOMASS ESTIMATION
dc.subject
MAR CHIQUITA
dc.subject
SPARTINA SPP. MARSH
dc.subject
TILLER LENGTH
dc.subject.classification
Ciencias Medioambientales
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Allometric scaling of dry weight and leaf area for Spartina densiflora and Spartina alterniflora in two Southwest Atlantic Saltmarshes
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-10-21T13:35:29Z
dc.journal.volume
29
dc.journal.number
6
dc.journal.pagination
1373-1381
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Florida
dc.description.fil
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
dc.description.fil
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
dc.description.fil
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
dc.description.fil
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
dc.description.fil
Fil: Kandus, Patricia. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
dc.description.fil
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
dc.journal.title
Journal of Coastal Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.2112/JCOASTRES-D-11-00201.1
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-11-00201.1
Archivos asociados