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Accession: PLT-GCED-2106 Research Theme: Plant Ecology (Directed Study)
Contributors: Jessica L. O'Connell, Merryl Alber, Deepak Mishra, Kristin Byrd
Title: Monthly Spartina alterniflora marsh vegetation data for additional sites along the Georgia coast used in the Belowground Ecosystem Resiliency Model
Abstract: Study plots (1-m2) were established in three Spartina alterniflora-dominated marshes - 2 on Sapelo Island, Georgia, and 1 on Skidaway Island, Georgia, and sampled once each during May, July, August, September, and October of 2016. Nine replicate plots were placed in vegetated marsh along transects that spanned 3 Landsat-8 pixel footprints, with 3 plots per pixel foot print. In each plot, measurements included plant biomass, plant species, stem density, and height. Aboveground biomass was calculated using allometric relationships between plant height, flowering status and mass from plant clipping studies. During these surveys, destructive core sampling was also performed in the proximity of the plots (n = 1 per plot) to measure above and below ground biomass. Chlorophyll, foliar N, and Leaf Area Index measurements were taken in the proximity of the plots.
DOI: 10.6073/pasta/03f4f78c6498aecca34faf4339591129
Key Words: belowground biomass, biomass, chlorophyll, cores, foliar N, leaf area index, marshes, Plant Monitoring, plants, Sapelo Island, Skidaway Island, Spartina, Spartina alterniflora, stem density, stem height
LTER Core Area: Primary Production
Research Themes: Plant Ecology
Study Period: 01-May-2016 to 31-Oct-2016
Study Sites:
Sapelo -- Sapelo Island, Sapelo Island, Georgia
» Download Geographic Coverage: Google Earth
Species References: Spartina alterniflora
Research Protocols:

Flux Tower Monthly Vegetation Monitoring Protocol (Georgia Coastal Ecosystems LTER)

Downloads: Information

Data Table: PLT-GCED-2106_coords (Site and plot locations parsed from kml file, 47 records)

Access: Public (released 13-Jun-2021)

Metadata: Text (ESA FLED), XML (Ecological Metadata Language)

Data Formats: Spreadsheet (CSV) [4.07kb],  Text File [3.23kb],  MATLAB (GCE Toolbox) [24.14kb],  MATLAB (Variables) [23.74kb],  Text Report [22.83kb]

Column List:(display)


Data Table: PLT-GCED-2106_leafN (Data from foliar N analysis, 172 records)

Access: Public (released 13-Jun-2021)

Metadata: Text (ESA FLED), XML (Ecological Metadata Language)

Data Formats: Spreadsheet (CSV) [8.60kb],  Text File [7.47kb],  MATLAB (GCE Toolbox) [26.19kb],  MATLAB (Variables) [25.01kb],  Text Report [26.38kb]

Column List:(display)


Data Table: PLT-GCED-2106_rootcore (Data from root cores, 180 records)

Access: Public (released 13-Jun-2021)

Metadata: Text (ESA FLED), XML (Ecological Metadata Language)

Data Formats: Spreadsheet (CSV) [14.02kb],  Text File [12.08kb],  MATLAB (GCE Toolbox) [28.54kb],  MATLAB (Variables) [28.79kb],  Text Report [34.02kb]

Column List:(display)


GIS Keyhole Markup Language File: PLT-GCED-2106_seagrant_plots (Study plot locations)

Access: Public (released 13-Jun-2021)

Metadata: XML (Ecological Metadata Language)

Data Formats: Google Earth Keyhole Markup Language (KML) file [33.7 kb]


Data Table: PLT-GCED-2106_vegplot (Data from the vegetation plots, 225 records)

Access: Public (released 13-Jun-2021)

Metadata: Text (ESA FLED), XML (Ecological Metadata Language)

Data Formats: Spreadsheet (CSV) [15.44kb],  Text File [14.67kb],  MATLAB (GCE Toolbox) [28.78kb],  MATLAB (Variables) [28.76kb],  Text Report [38.05kb]

Column List:(display)

Statistics: Generate script code to retrieve data tables for analysis in: MATLAB, R, SAS, SPSS
Citation: O'Connell, Jessica L. 2021. Monthly Spartina alterniflora marsh vegetation data for additional sites along the Georgia coast used in the Belowground Ecosystem Resiliency Model. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/03f4f78c6498aecca34faf4339591129

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LTER
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This material is based upon work supported by the National Science Foundation under grants OCE-9982133, OCE-0620959, OCE-1237140 and OCE-1832178. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.