Vegetation survey in a coastal marsh at the Grand Bay National Estuarine Research Reserve, Mississippi from August 2021, May 2022, and December 2022

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Frequently anticipated questions:


What does this data set describe?

Title:
Vegetation survey in a coastal marsh at the Grand Bay National Estuarine Research Reserve, Mississippi from August 2021, May 2022, and December 2022
Abstract:
To better understand sediment deposition in marsh environments, scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center (USGS-SPCMSC) selected five marsh study sites (Sites 5, 6, 7, 8, and 9) and four nearshore estuarine study sites (Sites 8S, 8D, 9S, 9D) along the Point Aux Chenes Bay shoreline of the Grand Bay National Estuarine Research Reserve (GNDNERR), Mississippi. This study builds on Smith and others (2020b) and includes datasets collected after the installation of a living shoreline (a subtidal sill [artificial reef]) that was completed in May 2021. Each marsh site consisted of five plots located along a transect perpendicular to the marsh-estuary shoreline at 5-meter (m) increments (5, 10, 15, 20, and 25 m from the shoreline). Each plot contained three to six net sedimentation tiles (NST) that were secured flush to the marsh surface using polyvinyl chloride (PVC) pipe. NST are an inexpensive and simple tool to assess short- and long-term deposition that can be deployed in highly dynamic environments without the compaction associated with traditional coring methods. The NST were deployed for three-month sampling periods, measuring sediment deposition from August 2021 to January 2023. Sediment deposited on the NST were processed to determine physical characteristics, such as deposition thickness, volume, wet weight/dry weight, grain size, and organic content (via loss-on-ignition [LOI]). For select sampling periods, ancillary data (water level, elevation, and vegetation) are also provided in this data release. The estuarine sites consisted of Site 8S (shallow; landward of the subtidal sill), 8D (deep; seaward side of the subtidal sill), as well as 9S and 9D (both sites established adjacent to 8S/8D and the subtidal sill). During select trips water parameters (e.g., waves, water level, and turbidity) were collected at each estuarine site to collect turbidity and wave data. Data presented in this data release were collected under three USGS Field Activities Numbers (FAN; one FAN per year) during thirteen sampling trips (alternate FAN; each sampling trip was assigned a unique alt FAN under the main FAN): 2021-320-FA (21CCT01, 21CCT03, 21CCT04, 21CCT05), 2022-302-FA (22CCT01, 22CCT02, 22CCT03, 22CCT04, 22CCT05, 22CCT06, 22CCT07, 22CCT08) and 2023-301-FA (23CCT01), however, every trip does not contain all data types. This data release also contains data for 2020-323-FA (20CCT02) that was collected as a special collection trip for Hurricane Delta. This data was collected before the subtidal sill was installed and is being published with this data release since pre-subtidal sill data was already published. Additional survey and data details are available from the U.S. Geological Survey Coastal and Marine Geoscience Data System (CMGDS) at, https://cmgds.marine.usgs.gov/. Users can look up USGS FANs in the CMGDS by replacing the FAN in the following url: https://cmgds.marine.usgs.gov/services/activity.php?fan=2022-302-FA. Data from a related NST study in the GNDNERR (Middle Bay and North Rigolets) can be found in Smith and others (2020a). Data collected from before the living shoreline (subtidal sill) installation can be found in Smith and others (2020b). For additional information on data processing and analysis, refer to the accompanying journal publication Smith and others (2025). Please read the full metadata for details on data collection, dataset variables, and data quality.
Supplemental_Information:
Data was collected through three field visits. Each field visit was assigned a field activity number (FAN) and alternate FAN (alt-FAN) by the U.S Geological Survey (USGS). Vegetation data was only collected during field activities from: 1) 2021-320-FA (21CCT01, August 2021), 2) 2022-302-FA (22CCT03, May 2022 and 22CCT08, December 2022).
  1. How might this data set be cited?
    Terrano, Joseph F., Pitchford, Jonathan, Archer, Michael, and Smith, Kathryn E.L., 20250527, Vegetation survey in a coastal marsh at the Grand Bay National Estuarine Research Reserve, Mississippi from August 2021, May 2022, and December 2022:.

    This is part of the following larger work.

    Terrano, Joseph F., Ellis, Alisha M., Smith, Kathryn E.L., Pitchford, Jonathan, Archer, Michael, Vargas, Joseph M., Griffiths, Jonathan P., Randall, Samuel M., Virden, Matthew, Everhart, Cheyenne S., and Sparks, Eric, 20250527, Shore Proximal Marsh Sediment Deposition and Ancillary Data From Grand Bay National Estuarine Research Reserve, Mississippi, From October 2020 to January 2023: U.S. Geological Survey data release doi:10.5066/P13VT3ET, U.S. Geological Survey, St. Petersburg, FL.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -88.4474
    East_Bounding_Coordinate: -88.4435
    North_Bounding_Coordinate: 30.3370
    South_Bounding_Coordinate: 30.3337
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 18-Aug-2021
    Ending_Date: 19-Dec-2022
    Currentness_Reference:
    ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: tabular digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
    2. What coordinate system is used to represent geographic features?
  7. How does the data set describe geographic features?
    Grand_Bay_Vegetation_2021_2022.csv
    Vegetation data collected from NST plots located in the marsh at Grand Bay National Estuarine Research Reserve, Mississippi, from August 2021, May 2022, and December 2022. Blanks indicate no data. (Source: USGS)
    FAN
    USGS field activity number (FAN) assigned to each sample collection trip. (Source: USGS) Field activity numbers were assigned by the USGS to track field collection of samples. The FAN consists of YYYY-XXX-FA, with YYYY being the 4-digit year, XXX being the trip number, and FA representing that it is a field activity.
    Alt_FAN
    Alternate (abbreviated) FAN assigned each collection trip. (Source: USGS) FANs were assigned by the USGS and are YYCCTXX, where YY is the 2-digit year, CCT stands for coastal change and transport (a USGS project identifier), and XX is the trip number.
    Site
    Site number. (Source: USGS)
    Range of values
    Minimum:5
    Maximum:9
    Plot distance (meters)
    Distance inland to the NST plot from the shoreline. (Source: USGS)
    Range of values
    Minimum:5
    Maximum:25
    Units:meters (m)
    Plot canopy* height (meters)
    *Canopy height is an average of all vegetation species for the plot. Only one value is presented per plot. (Source: USGS)
    Range of values
    Minimum:0.10
    Maximum:1.25
    Units:meters (m)
    Vegetation species
    Scientific name (genus and species) of the vegetation in the vegetation plot. (Source: USGS) Scientific name (genus and species) of the vegetation. Unknown was used if the species could not be identified. Some plots have multiple unknown species.
    Percent cover (%)
    Percent of the plot that was covered by each species. Combined percent of all species cannot exceed 100 percent. The difference between 100 percent and the sum of all species within the plot represents unvegetated area. (Source: USGS)
    Range of values
    Minimum:<5
    Maximum:70
    Units:percent (%)
    Stem count^
    ^Stem count sub samples were collected from a marked area on the quadrat (at 1/16 of a meter) from the top right corner of each plot. Stem counts with blank cells denote no stems of that species were counted in the sub sampled plot however that vegetation type is present in the overall plot. (Source: USGS)
    Range of values
    Minimum:1
    Maximum:35

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Joseph F. Terrano
    • Jonathan Pitchford
    • Michael Archer
    • Kathryn E.L. Smith
  2. Who also contributed to the data set?
    The authors would like to acknowledge the GNDNERR staff for their contributions in collecting and reviewing this data.
  3. To whom should users address questions about the data?
    U.S. Geological Survey - St Petersburg Coastal and Marine Science Center
    Attn: Joseph F. Terrano
    Physical Scientist
    600 4th Street South
    St. Petersburg, FL

    727-502-8047 (voice)
    727-502-8182 (FAX)
    jterrano@usgs.gov

Why was the data set created?

Vegetation species and abundance data can provide important information on the health of a marsh. Vegetation surveys were conducted within each NST plot (1 square meter). Within each plot the average vegetation canopy height was measured, a percent cover for each species was estimated, and a sub-sampled stem count of each species from 1/16th of a meter of the plot was collected.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 2023 (process 1 of 1)
    Five previously established study sites (Sites 5, 6, 7, 8, and 9) containing net sedimentation tiles (NST) within the Grand Bay National Estuarine Research Reserve, Mississippi were used to collect vegetation data. NST plots (a 1 square meter plot) were located at 5, 10, 15, 20 and 25 m inland and perpendicular to the shoreline. Vegetation surveys were conducted by Grand Bay National Estuarine Research Reserve staff in 21CCT01 (August 2021), 22CCT03 (May 2022), and 22CCT08 (December 2022) using NERR system wide monitoring protocols (Moore, 2009). First, a 1 square meter quadrat was placed on the corner PVC markers of the plot to ensure the quadrat covered the study area. To collect percent cover, the observer looked at the whole plot, then visualized that all of one species were gathered together and pushed to once side of the quadrat (if it appears that three-quarters of the quadrat is covered, then the percent cover for that species is 75%). This was repeated for each of the vegetation species, making sure that the overall sum of percent cover with species was not greater than 100%. To collect canopy height, a pole marked at 25-centimeter (cm) intervals was used to estimate the average height (in meters) of the vegetation within the plot. To collect stem densities, the quadrat was marked at 1/16th of a meter in the upper right corner. Within the smaller quadrat area, the number of stems for each species were counted. The field sheet data for each field activity was compiled and transferred to a CSV file for inclusion in this data release. Person who carried out this activity:
    Grand Bay National Estuarine Research Reserve
    Attn: Jonathan Pitchford
    Stewardship Coordinator
    6005 Bayou Heron Road
    Moss Point, MS
    U.S.

    (228) 523-4009 (voice)
    jonathan.pitchford@dmr.ms.gov
    Data sources produced in this process:
    • Grand_Bay_Vegetation_2021_2022.csv
  3. What similar or related data should the user be aware of?
    Smith, Kathryn E.L., Terrano, Joseph F., Khan, Nicole S., and Stalk, Chelsea A., 20200226, Shore Proximal Sediment Deposition, Elevation, Turbidity, and Water Level Data for Four Sites in the Coastal Marsh at Grand Bay National Estuarine Research Reserve, Mississippi, From October 2016 Through October 2017: United States Geological Survey, St. Petersburg, Florida.

    Online Links:

    Other_Citation_Details: Smith and others (2020a)
    Smith, Kathryn E.L., Terrano, Joseph F., Pitchford, Jonathan, Brochard, Michael, Vargas, Joseph M., Atchia, Isabelle D., Everhart, Cheyenne S., and Smith, Christopher G., 20200713, Shore Proximal Marsh Sediment Deposition and Ancillary Data From Grand Bay National Estuarine Research Reserve, Mississippi, From July 2018 to January 2020: United States Geological Survey-St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.

    Online Links:

    Other_Citation_Details: Smith and others (2020a)
    Moore, Kenneth, 20091201, NERRS SWMP Bio- Monitoring Protocol: Long-term Monitoring of Estuarine Submersed and Emergent Vegetation Communities: Chesapeake Bay National Estuarine Research Reserve System in Virginia, Gloucester Point, Virginia.

    Online Links:

    Smith, Kathryn E.L., Pitchford, Jonathan L., Sparks, Eric L., Archer, Michael J., Virden, Matthew F., Terrano, Joseph F., and Smith, Christopher G., 20250612, Evaluating the influence of constructed subtidal reefs on marsh shoreline erosion, sediment deposition, and wave energy: Estuaries and Coasts Volume 48, Article 128, Springer Nature, Online.

    Online Links:

    Other_Citation_Details: Smith and others (2025)

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    Vegetation data was collected by the Grand Bay National Estuarine Research Reserve and provided to the USGS as a comma separated value (CSV) file. Elevation, positional information, and positional accuracy can be found in the "GB_Elevation_Data_2020_2023" folder of this data release.
  2. How accurate are the geographic locations?
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    This is a complete, vegetation survey data file for data collected within the Grand Bay National Estuarine Research Reserve, Mississippi from August 2021 to December 2022. Canopy height is considered the average of all vegetation species for the plot, thus only one value is presented per plot, and all remaining cells are intentionally left blank. Stem counts with blank cells denote no stems of that species were counted in the subsampled plot, however, that vegetation type is present in the overall plot.
  5. How consistent are the relationships among the observations, including topology?
    The data included in this data file are related to: FAN, alternate FAN, site, plot distance, plot canopy height, vegetation species, percent cover, and stem counts. Additional attribute information and definitions are provided below. Comparisons with other datasets for the same area from other time periods may be inaccurate due to inconsistencies in data collection methods.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints No access constraints. Please see 'Distribution Information' for details.
Use_Constraints These data are marked with a Creative Common CC0 1.0 Universal License. These data are in the public domain and do not have any use constraints. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
    Attn: USGS SPCMSC Data Management
    600 4th Street South
    Saint Petersburg, FL
    United States

    727-502-8000 (voice)
    gs-g-spcmsc_data_inquiries@usgs.gov
  2. What's the catalog number I need to order this data set? GB_Vegetation_Data_2021_2022.csv
  3. What legal disclaimers am I supposed to read?
    Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 18-Jun-2025
Metadata author:
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
Attn: USGS SPCMSC Data Management
600 4th Street South
Saint Petersburg, FL
United States

727-502-8000 (voice)
gs-g-spcmsc_data_inquiries@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)

This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/GB_Vegetation_2021_2022_Metadata.faq.html>
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