Georgia Coastal Ecosystems LTER Data Set Details

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GCE-LTER Data Set Summary

Accession:

POR-GCEM-1901

Research Theme:

Pore-water Chemistry (Monitoring)

Contributors:

Steven C. Pennings, Dontrece Smith, Alyssa Peterson, Jacob Shalack

Title:

Soil salinity at GCE-LTER vegetation monitoring plots in October 2018

Abstract:

Soil samples were collected in conjunction with Fall 2018 plant monitoring at half of the permanent vegetation monitoring plots in the creekbank and midmarsh zones at 10 GCE study sites. Pore-water salinity was determined by analysis of supernatant salinity in dried soil samples hydrated with a measured volume of deionized water.

DOI:

10.6073/pasta/de7e49be5aa8fa00762ceb090241e708

Key Words:

chemistry, marshes, mud, permanent plots, porewater, salinity, Sediment Monitoring, sediments, soils

LTER Core Area:

Inorganic Matter

Research Themes:

GCE2 Q2 - Domain Patterns, GCE3 Area2 - Patterns within the Domain, Pore-water Chemistry, Plant Ecology

Study Period:

12-Oct-2016 to 19-Oct-2016

Study Sites:

GCE1 -- Eulonia, Georgia, USA
GCE2 -- Four Mile Island, Georgia, USA
GCE3 -- North Sapelo, Sapelo Island, Georgia, USA
GCE4 -- Meridian, Georgia, USA
GCE5 -- Folly River, Georgia, USA
GCE6 -- Dean Creek, Sapelo Island, Georgia, USA
GCE7 -- Carrs Island, Georgia, USA
GCE8 -- Alligator Creek, Georgia, USA
GCE9 -- Rockdedundy Island, Georgia, USA
GCE10 -- Hunt Camp, Sapelo Island, Georgia, USA

» Download Geographic Coverage: Google Earth

Project References:

End of year biomass

Downloads:

Data Table: POR-GCEM-1901 (Main data table for data set POR-GCEM-1901, 88 records)

Access: Public (released 16-Apr-2020)

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

Data Formats: Spreadsheet (CSV) [6.25kb], Text File [5.74kb], MATLAB (GCE Toolbox) [42.33kb], MATLAB (Variables) [68.76kb], Text Report [85.16kb]

Column List:(hide)

Column	Name	Units	Type	Description
1	Year	YYYY	integer	Calendar year sample was collected
2	Month	MM	integer	Calenday month sample was collected
3	Day	DD	integer	Calendar day sample was collected
4	Site	none	integer	GCE study site code
5	Zone	none	integer	Marsh zone
6	Plot	none	integer	Plot number
7	Soil_Cup_Mass	grams	floating-point	Mass of cup
8	Soil_Total_Weight	grams	floating-point	Weight of soil and cup before drying
9	Soil_Dry_Weight	grams	floating-point	Weight of soil and cup after drying
10	Soil_Water_Content	grams	floating-point	Weight of water in soil calculated by subtraction of dry weight from initial weight
11	Soil_Water_Percent	percent	floating-point	Percentage of water in soil calculated from dry weight and initial weight
12	Deionized_Water_Added	ml	floating-point	Amount of deionized water added to the dry soil sample
13	Soil_Salinity_Supernatant	PSU	floating-point	Salinity of soil sample supernatant after resuspension of dried soil in deionized water
14	Soil_Salinity_Porewater	PSU	floating-point	Porewater salinity calculated from soil sample dry weight and salinity of supernatant after resuspension in water

Statistics:

Generate script code to retrieve data tables for analysis in: MATLAB, R, SAS, SPSS

Citation:

Pennings, Steven C. 2020. Soil salinity at GCE-LTER vegetation monitoring plots in October 2018. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/de7e49be5aa8fa00762ceb090241e708

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