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GCE-LTER Data Set Summary

Accession: GEL-GCED-1610 Research Theme: Geology (Directed Study)
Contributors: Christopher B. Craft, Dontrece Smith, Jennifer Desha, Alyssa Peterson, Brendan Manley
Title: Soil surface temperature measurements from the GCE-LTER Seawater Addition Long-Term Experiment (SALTEx) Project
Abstract: SALTEx (Seawater Addition Long-Term Experiment) is a 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. We are measuring soil surface temperature in the plots as one of the response variables for the SALTEx project.
DOI: 10.6073/pasta/446311a53d435c1fba21495f8296b08b
Key Words: SALTEx, seawater intrusion, soil temperature
LTER Core Area: Disturbance Patterns
Research Themes: GCE2 Q1 - External Forcing, GCE2 Q3 - Longitudinal Gradients, GCE3 Area3 - Responses to Salinity and Inundation, Geology
Study Period: 01-Aug-2015 to 14-Nov-2017
Study Sites:
SALTEx -- SALTEx Research Site, Champney Island, Georgia, USA
» Download Geographic Coverage: Google Earth
Project References: SALTEx - Seawater Addition Long Term Experiment
Research Protocols:

SALTEx Soil Surface Temperature Measurement Protocol (Georgia Coastal Ecosystems LTER)

SALTEx Map Plot Layout (Georgia Coastal Ecosystems LTER)


Craft, C.B., Herbert, E., Li, F., Smith, D., Schubauer-Berigan, J.P., Widney, S., Angelini, C., Pennings, S.C., Medeiros, P.M., Byers, J. and Alber, M. 2016. Climate change and the fate of coastal wetlands. Wetland Science and Practice. 33(3):70-73.

Mobilian, C., Wisnoski, N., Lennon, J., Alber, M., Widney, S. and Craft, C.B. 2020. Differential effects of press vs. pulse seawater intrusion on microbial communities of a tidal freshwater marsh. Limnology and Oceanography Letters. (DOI: 10.1002/lol2.10171)

Downloads: Information

Data Table: GEL-GCED-1610 (Main data table for data set GEL-GCED-1610, 741 records)

Access: Public (released 15-Oct-2018)

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

Data Formats: Spreadsheet (CSV) [35.29kb],  Text File [33.70kb],  MATLAB (GCE Toolbox) [236.43kb],  MATLAB (Variables) [208.09kb],  Text Report [50.61kb]

Column List:(hide)

Column Name Units Type Description
1 Year YYYY integer Year the sample was collected
2 Month MM integer Month the sample was collected
3 Day DD integer Day the sample was collected
4 Date MM/DD/YYYY string Date the sample was collected
5 Treatment none string Sample treatment
6 Replicate none integer Replicate
7 Elevation m floating-point Mean plot elevation relative to MLW
8 Temperature1 degrees Celsius floating-point Temperature replicate 1
9 Temperature2 degrees Celsius floating-point Temperature replicate 2
10 Temperature3 degrees Celsius floating-point Temperature replicate 3
11 Temperature4 degrees Celsius floating-point Temperature replicate 4
Statistics: Generate script code to retrieve data tables for analysis in: MATLAB, R, SAS, SPSS
Citation: Craft, Christopher B. 2016. Soil surface temperature measurements from the GCE-LTER Seawater Addition Long-Term Experiment (SALTEx) Project. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/446311a53d435c1fba21495f8296b08b

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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.