Initial and Future Marsh Vegetation Conditions Under Three Sea-Level Rise Scenarios (Intermediate-Low, Intermediate, and Intermediate-High) from 2020 to 2100 in the Apalachicola-Big-Bend Region

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Frequently anticipated questions:

What does this data set describe?

Title:
Initial and Future Marsh Vegetation Conditions Under Three Sea-Level Rise Scenarios (Intermediate-Low, Intermediate, and Intermediate-High) from 2020 to 2100 in the Apalachicola-Big-Bend Region
Abstract:
Using the Hydro-MEM (Hydrodynamic-Marsh Equilibrium Model) (Alizad and others, 2016a; 2016b), the wetlands system within the Apalachicola-Big-Bend (ABB) region of Florida (FL) was assessed using initial and three sea-level rise (SLR) scenarios from the National Oceanic and Atmospheric Administration (NOAA) (Sweet and others, 2017). The initial (init) scenario represents the present conditions in the year 2020. The intermediate-low (int-low) scenario projects 50 centimeters (cm) of SLR by 2100, the intermediate (int) scenario projects 1 meter (m) of SLR by 2100, and the intermediate-high (int-high) scenario projects 1.5 m of SLR by 2100. Hydro-MEM input data includes elevation, tidal forcings, river inflow, and field-collected parameters and couples a hydrodynamic and biological model to capture feedback processes in the wetland system. The model incorporates a spatially-varying marsh parabola parametrization and considers SLR-induced salinity intrusion proxy in the system (Alizad and others, 2022b). This data release (Alizad and others, 2022a) includes the initial and future conditions under three SLR scenarios and model outputs of marsh vegetation type. For further information regarding model input generation and visualization of model output, refer to Alizad and others (2016a).
  1. How might this data set be cited?
    Alizad, Karim, Morris, James T., Medeiros, Stephen C., Passeri, Davina L., and Hagen, Scott C., 20220621, Initial and Future Marsh Vegetation Conditions Under Three Sea-Level Rise Scenarios (Intermediate-Low, Intermediate, and Intermediate-High) from 2020 to 2100 in the Apalachicola-Big-Bend Region:.

    This is part of the following larger work.

    Alizad, Karim, Morris, James T., Medeiros, Stephen C., Passeri, Davina L., and Hagen, Scott C., 20220621, Assessing the Northeastern Gulf of Mexico Microtidal Wetland System Change in the Apalachicola-Big-Bend Region Under Sea-Level-Rise: Model Inputs and Outputs: U.S. Geological Survey data release doi:10.5066/P9R2BND7, U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.

    Online Links:

    Other_Citation_Details: 2022a
  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -85.5298043267
    East_Bounding_Coordinate: -83.3584914726
    North_Bounding_Coordinate: 30.2546057742
    South_Bounding_Coordinate: 29.2583715092
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 2020
    Ending_Date: 2100
    Currentness_Reference:
    ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: raster digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      Indirect_Spatial_Reference: Gulf of Mexico
      This is a Raster data set. It contains the following raster data types:
      • Dimensions 10592 x 20779 x 1, type Grid Cell
    2. What coordinate system is used to represent geographic features?
      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 16
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.999600
      Longitude_of_Central_Meridian: -87.000000
      Latitude_of_Projection_Origin: 0.000000
      False_Easting: 500000.000000
      False_Northing: 0.000000
      Planar coordinates are encoded using Row and Column
      Abscissae (x-coordinates) are specified to the nearest 1
      Ordinates (y-coordinates) are specified to the nearest 1
      Planar coordinates are specified in meters
      The horizontal datum used is North American Datum of 1983.
      The ellipsoid used is Geodetic Reference System 80.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.25722210100002.
  7. How does the data set describe geographic features?
    ABB_Init_Veg.tif, ABB_IntLow_Veg_*.tif, ABB_Int_Veg_*.tif, and ABB_IntHigh_Veg_*.tif
    TIFF files (8-bit pixel depth, unsigned integer pixel type) of initial and future conditions of marsh vegetation types in the ABB Region. The initial conditions file is named ABB_Init_Veg.tif. Future condition files are named using the following convention: “IntLow” for intermediate-low SLR scenario (50 cm by 2100), “Int” for intermediate SLR scenario (1 m by 2100), or “IntHigh” for intermediate-high SLR scenario (1.5 m by 2100); followed by an underscore “Veg” (abbreviation for marsh vegetation type); followed by another underscore and the year in YYYY format. For the intermediate and intermediate-high future scenarios, the data is published in 5-year increments from 2025 to 2100. The intermediate-low future scenario is published in 10-year increments from 2030 to 2100. Example filename: ABB_IntLow_Veg_2030.tif. (Source: USGS)
    OID
    Internal feature number (Source: Esri) Sequential unique whole numbers that are automatically generated.
    VALUE
    Marsh vegetation type classification value. (Source: USGS)
    ValueDefinition
    5Drowned forest - Coastal woody vegetation of dying or dead tree forest due to high salinity and flooding induced by SLR.
    10Mudflat - Tidal flats where high water depth stops marsh growth, leaving behind an exposed layer of loose sediment.
    16Low-marsh - Marsh vegetation growing at lower tidal gradients that have longer periods of tidal flooding (i.e., Spartina alterniflora).
    23Mid-marsh - More productive marsh that can be either high marsh or low marsh vegetation.
    32High-marsh - Marsh vegetation growing at a higher, less flooded tidal gradient (i.e., Spartina patens).
    40Water
    COUNT
    The number of cells per value class. (Source: USGS) The number of cells per value class of marsh vegetation under the initial and three SLR scenarios.
    Entity_and_Attribute_Overview:
    The zip file, ABB_Marsh_Vegetation_Condition.zip, contains TIFFs of initial (ABB_Init_Veg.tif) and future marsh vegetation conditions under three sea-level rise scenarios. The three future scenarios are: the intermediate-low SLR scenario (50 cm by 2100) published in 10-year increments from 2030-2100 (ABB_IntLow_Veg_*.tif), the intermediate SLR scenario (1 m by 2100) published in 5-year increments from 2025-2100 (ABB_Int_Veg_*.tif), and the intermediate-high SLR scenario (1.5 m by 2100) published in 5-year increments from 2025-2100 (ABB_IntHigh_Veg_*.tif). Please refer to the Entity_and_Attribute_Information and Detailed_Description sections for more information on the file naming convention and the marsh vegetation attribute definitions.
    Entity_and_Attribute_Detail_Citation:
    The entity and attribute information were generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Karim Alizad
    • James T. Morris
    • Stephen C. Medeiros
    • Davina L. Passeri
    • Scott C. Hagen
  2. Who also contributed to the data set?
    U.S. Geological Survey
  3. To whom should users address questions about the data?
    Cherokee Nation System Solutions contracted to the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
    Attn: Karim Alizad
    Researcher VI
    600 4th Street South
    St. Petersburg, FL
    US

    727-502-8037 (voice)
    727-502-8001 (FAX)
    kalizad@contractor.usgs.gov

Why was the data set created?

These data were generated for the assessment of marsh response to sea-level rise in the Apalachicola-Big-Bend region. This Federal Geographic Data Committee (FGDC) metadata record describes the marsh vegetation type modeled in the ABB region using Hydro-MEM (Alizad and others, 2022b). The data files included in this release (Alizad and others, 2022a) are published as Tagged Image File Format (TIFF) files and contain the initial and future marsh vegetation type (low-marsh, mid-marsh, high-marsh, mudflat, drowned forest, water) under the int-low, int, and int-high SLR scenarios. The intermediate-low data are published in 10-year increments from 2030 to 2100. The intermediate and intermediate-high data are published in 5-year increments from 2025 to 2100.

How was the data set created?

  1. From what previous works were the data drawn?
    Alizad and others, 2016a (source 1 of 1)
    Alizad, K., Hagen, S.C., Morris, J.T., Bacopoulos, P., Bilskie, M.V., Weishampel, J.F., and Medeiros, S.C., 20160213, A coupled, two-dimensional hydrodynamic-marsh model with biological feedback: Ecological Modeling Volume 327, May 2016, pg. 29-43, Elsevier, Online.

    Online Links:

    Type_of_Source_Media: Journal
    Source_Contribution:
    Hydro-MEM projected marsh vegetation type for the initial and future conditions under three sea-level rise scenarios.
  2. How were the data generated, processed, and modified?
    Date: 2022 (process 1 of 1)
    Using the Hydro-MEM (Hydrodynamic-Marsh Equilibrium Model) (Alizad and others, 2016a; 2016b), marsh vegetation type within the Apalachicola-Big-Bend (ABB) region of Florida (FL) was modeled using the initial and three sea-level rise (SLR) scenarios from NOAA (Sweet and others, 2017). The initial scenario represents the present conditions in the year 2020. The intermediate-low scenario projects 50 cm of SLR by 2100, the intermediate scenario projects 1 m of SLR by 2100, and intermediate-high scenario projects 1.5 m of SLR by 2100. The data were produced in raster format using the Hydro-MEM toolbox in ArcMap 10.4. For more information about the Hydro-MEM toolbox and how these data files were produced, please refer to Alizad and others (2016a, 2016b). Next, the initial and future marsh vegetation type scenarios produced from the Hydro-MEM toolbox were converted from raster files to TIFF files using the "Raster To Other Format" geoprocessing tool available in ArcMap 10.4. The TIFF files included in this data release contain the initial and future marsh vegetation type (low-marsh, mid-marsh, high-marsh, mudflat, drowned forest, water) under int-low, int, and int-high SLR scenarios. The intermediate-low data are published in 10-year increments from 2030 to 2100. The intermediate and intermediate-high data are published in 5-year increments from 2025 to 2100. Please refer to the Entity_and_Attribute_Information and Detailed_Description sections for more information on the file naming convention and the marsh vegetation type attribute definitions for the initial and three SLR scenario TIFF files. Person who carried out this activity:
    Karim Alizad
    Cherokee Nation System Solutions contracted to the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
    Researcher VI
    600 4th Street S
    St. Petersburg, FL
    USA

    727-502-8037 (voice)
    727-502-8001 (FAX)
    kalizad@contractor.usgs.gov
  3. What similar or related data should the user be aware of?
    Alizad, K., Morris, J.T., Medeiros, S.C., Passeri D.L., and Hagen, S.C., 2022, Assessing the northeastern Gulf of Mexico microtidal wetland system change in the Apalachicola-Big-Bend Region Under Sea-Level-Rise: Science of the Total Environment Unknown.

    Online Links:

    • Unknown

    Other_Citation_Details: 2022b
    Alizad, K., Hagen, S.C., Morris, J.T., Bacopoulos, P., Bilskie, M.V., Weishampel, J.F., and Medeiros, S.C., 20160213, A coupled, two-dimensional hydrodynamic-marsh model with biological feedback: Ecological Modeling Volume 327, May 2016, pg. 29-43.

    Online Links:

    Other_Citation_Details: 2016a
    Alizad, K., Hagen, S.C., Morris, J.T., Medeiros, S.C., Bilskie, M.V., and Weishampel, J.F., 20161015, Coastal wetland response to sea-level rise in a fluvial estuarine system: Earth’s Future Volume 4, Issue 11, pg. 483-497.

    Online Links:

    Other_Citation_Details: 2016b
    Sweet, W.V., Kopp, R.E., Weaver, C.P., Obeysekera, J., Horton, R.M., Thieler, E.R., and Zervas, C., 2017, Global and regional sea level rise scenarios for the United States: NOAA Technical Report NOS CO-OPS 083.

    Online Links:

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

  1. How well have the observations been checked?
  2. How accurate are the geographic locations?
    This dataset contains the model geospatial information and marsh vegetation type from last time step for the initial and future condition scenarios. Within Hydro-MEM, the coordinates are provided in the North American Datum of 1983 (NAD 83) Universal Transverse Mercator (UTM) Zone 16 North (16N) coordinate system. The positional accuracy is 1 meter.
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    These data are the complete marsh vegetation type for the initial and three SLR scenarios (int-low, int, and int-high). This dataset is considered complete for the information presented, as described in the abstract section. Users are advised to read the rest of the metadata record carefully for additional details.
  5. How consistent are the relationships among the observations, including topology?
    The previous time step marsh vegetation type is supplied at each model grid cell from the last run and serves as input for the next time-step future condition scenario.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints None.
Use_Constraints Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the originator of the dataset.
  1. Who distributes the data set? (Distributor 1 of 1)
    Cherokee Nation System Solutions contracted to the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
    Attn: Karim Alizad
    Researcher VI
    600 4th Street South
    St. Petersburg, FL
    US

    727-502-8037 (voice)
    727-502-8001 (FAX)
    kalizad@contractor.usgs.gov
  2. What's the catalog number I need to order this data set? ABB_Init_Veg.tif, ABB_IntLow_Veg_*.tif, ABB_Int_Veg_*.tif, and ABB_IntHigh_Veg_*.tif
  3. What legal disclaimers am I supposed to read?
    This digital publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 21-Jun-2022
Metadata author:
Karim Alizad
Cherokee Nation System Solutions contracted to the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Researcher VI
600 4th Street South
St. Petersburg, FL
US

727-502-8037 (voice)
727-502-8001 (FAX)
kalizad@contractor.usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/ABB_Marsh_Vegetation_Condition_metadata.faq.html>
Generated by mp version 2.9.51 on Tue Jun 21 16:21:31 2022