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GCE-LTER Data Set Summary

Accession: NUT-IRMA-2002 Research Theme: General Nutrient Chemistry (Research Study)
Contributors: Christopher B. Craft, Sarah Widney, Dontrece Smith, Joe Schubauer-Berigan, Ellen Herbert, Elena Solohin, Jennifer Desha
Title: Porewater chemistry measurements from the GCE-LTER Seawater Addition Long-Term Experiment (SALTEx) from July 2017 through July 2019.
Abstract: The Georgia Coastal Ecosystems LTER Seawater Addition Long-Term Experiment (SALTEx) is a large-scale field experiment designed to simulate saltwater intrusion in a tidal freshwater wetland to predict how chronic (Press) and acute (Pulse) salinization will affect this and other tidal freshwater ecosystems. The SALTEx experiment was initiated in 2012 and consists of 31 field plots, each 2.5 m on a side. There are three treatments (Press, Pulse, and Fresh) and two types of controls (with and without sides), each consisting of six replicates. The Press treatment plots receive regular (4 times each week) additions of a mixture of seawater and fresh river water. Pulse plots receive the same mixture of seawater and river water during September and October, which is historically a time of low flow in the river when natural saltwater intrusion occurs. The Fresh treatment plots receive regular additions of fresh river water. Treatment water is added during low tide to facilitate its infiltration into the soil, and all plots are inundated by astronomical tides at high tide. Response measurements include porewater chemistry, specifically concentrations of chloride, sulfate, sulfide, dissolved organic carbon (DOC), ammonium-N, nitrate/nitrite-N, dissolved reactive phosphorus, total phosphorus, total nitrogen, organic nitrogen, carbon:nitrogen (C:N) ratio, organic-carbon:organic-nitrogen ratio, and pH. Samples of source water were taken after collection (seawater, river water) or mixing (mixed seawater and river water in tanks) and analyzed for concentrations of dissolved reactive phosphorus, total phosphorus, ammonium-N, nitrate/nitrite-N, total nitrogen, organic nitrogen. Source water samples from 2016 and beyond also included measurements of dissolved organic carbon (DOC), carbon:nitrogen ratio, organic-carbon:organic-nitrogen ratio, chloride and sulfate.
DOI: 10.6073/pasta/b5b2b0b2ba981ce973682d1c269911e7
Key Words: carbon, chloride, disturbance, inundation, marshes, nitrogen, nutrients, ph, phosphorus, porewater, press, pulse, salinity, soils, sulfate
LTER Core Area: Disturbance Patterns, Inorganic Matter, Organic Matter
Research Themes: General Nutrient Chemistry, Chemistry, Pore-water Chemistry
Study Period: 10-Jul-2017 to 08-Jul-2019
Study Sites:
SALTEx -- SALTEx Research Site, Champney Island, Georgia, USA
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Research Protocols:

SALTEx Total Phosphorus and Total Dissolved Phosphorus Wet Chemistry Protocol (ESF-SOP 030) (U.S. EPA Watershed Management Research: Experimental Stream Facility and Associated Field Studies)

Downloads: Information

Data Table: NUT-IRMA-2002_SALTEx (SALTEx porewater chemistry measurements, 279 records)

Access: Public (released 01-Jul-2021)

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

Data Formats: Spreadsheet (CSV) [36.71kb],  Text File [31.99kb],  MATLAB (GCE Toolbox) [51.22kb],  MATLAB (Variables) [48.05kb],  Text Report [62.87kb]

Column List:(display)


Data Table: NUT-IRMA-2002_SourceWater (Source water chemistry measurements, 20 records)

Access: Public (released 01-Jul-2021)

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

Data Formats: Spreadsheet (CSV) [3.44kb],  Text File [2.64kb],  MATLAB (GCE Toolbox) [34.68kb],  MATLAB (Variables) [30.30kb],  Text Report [30.13kb]

Column List:(display)

Statistics: Generate script code to retrieve data tables for analysis in: MATLAB, R, SAS, SPSS
Citation: Craft, Christopher B. 2020. Porewater chemistry measurements from the GCE-LTER Seawater Addition Long-Term Experiment (SALTEx) from July 2017 through July 2019. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/b5b2b0b2ba981ce973682d1c269911e7

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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.