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dc.contributor.author
Gonzalez Trilla, Gabriela Liliana  
dc.contributor.author
Borro, María Marta  
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Morandeira, Natalia Soledad  
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Schivo, Facundo Mauro  
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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  
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BAHÍA BLANCA  
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BIOMASS ESTIMATION  
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MAR CHIQUITA  
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SPARTINA SPP. MARSH  
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TILLER LENGTH  
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Ciencias Medioambientales  
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Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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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