Home > Data > Data Search > Data Catalog > Data Set Summary | Update Metadata (contributor) | Copy as Template (GCE)
Files Jump to Files

GCE-LTER Data Set Summary

Accession: POR-GCED-1703 Research Theme: Pore-water Chemistry (Directed Study)
Contributors: Christopher B. Craft, Merryl Alber, Steve Pennings, Dontrece Smith, Ellen Herbert, Jacob Shalack, Sarah Widney
Title: Daily porewater salinity, conductivity, and temperature measurements from the GCE-LTER Seawater Addition Long-Term Experiment (SALTEx) Project
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. Six porewater well samples were collected four days per week from six treatment plots using a peristalsis pump. Salinity and conductivity were measured from the samples using a handheld conductivity/salinity meter. In addition, water delivery treatments were conducted four days per week after porewater samples were collected.
DOI: 10.6073/pasta/9069b7c854d7b26005bbf5e09287bccc
Key Words: conductivity, freshwater, porewater, salinity, SALTEx, sea level rise, seawater intrusion, temperature, wetlands
LTER Core Area: Disturbance Patterns
Research Themes: Pore-water Chemistry
Study Period: 14-Apr-2014 to 31-Oct-2016
Study Sites:
SALTEx -- SALTEx Research Site, Champney Island, Georgia, USA
» Download Geographic Coverage: Google Earth
Research Protocols:

SALTEx Map Plot Layout (Georgia Coastal Ecosystems LTER)

Publications:

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.

Li, F., Angelini, C., Byers, J., Craft, C.B. and Pennings, S.C. 2022. Responses of a tidal freshwater marsh plant community to chronic and pulsed saline intrusion. Journal of Ecology. 110:1508-1524. (DOI: 10.1111/1365-2745.13885)

Downloads: Information

Data Table: POR-GCED-1703 (Main data table for data set POR-GCED-1703, 3783 records)

Access: Public (released 01-Mar-2017)

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

Data Formats: Spreadsheet (CSV) [214.59kb],  Text File [195.27kb],  MATLAB (GCE Toolbox) [66.99kb],  MATLAB (Variables) [59.01kb],  Text Report [227.63kb]

Column List:(hide)

Column Name Units Type Description
1 Year YYYY integer Calendar year of observation
2 Month M integer Calendar month of observation
3 Day D integer Calendar day of observation
4 Date yyyy-mm-dd string Date of observation (yyyy-mm-dd)
5 Treatment none string Treatment plot code (F = Fresh, PR = PRESS, PU = PULSE, CS = Control with sides, C = Control without sides)
6 Replicate none integer Replicate of the treatment plot
7 Elevation m floating-point Mean plot elevation relative to MLW
8 Well none string Color of the well sampled (R = Red, B = Blue, W = White, Y =Yellow)
9 Conductivity µS/cm floating-point Conductivity of porewater well sample
10 Flag_Conductivity none string QA/QC flags for Conductivity of porewater well sample (flagging criteria, where "x" is Conductivity: x<0="I", x<0="Q", x>10000="Q")
11 Salinity PPT floating-point Salinity of porewater well sample
12 Temperature C floating-point Temperature of porewater well sample
Statistics: Generate script code to retrieve data tables for analysis in: MATLAB, R, SAS, SPSS
Citation: Craft, Christopher B. 2017. Daily porewater salinity, conductivity, and 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/9069b7c854d7b26005bbf5e09287bccc

» Help about file formats, technical specifications and file versioning

LTER
NSF

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.