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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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Karim Alizad
Originator: James T. Morris
Originator: Stephen C. Medeiros
Originator: Davina L. Passeri
Originator: Scott C. Hagen
Publication_Date: 20220621
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
Geospatial_Data_Presentation_Form: raster digital data
Larger_Work_Citation:
Citation_Information:
Originator: Karim Alizad
Originator: James T. Morris
Originator: Stephen C. Medeiros
Originator: Davina L. Passeri
Originator: Scott C. Hagen
Publication_Date: 20220621
Title:
Assessing the Northeastern Gulf of Mexico Microtidal Wetland System Change in the Apalachicola-Big-Bend Region Under Sea-Level-Rise: Model Inputs and Outputs
Series_Information:
Series_Name: U.S. Geological Survey data release
Issue_Identification: doi:10.5066/P9R2BND7
Publication_Information:
Publication_Place: St. Petersburg, Florida
Publisher:
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
Other_Citation_Details: 2022a
Online_Linkage: https://doi.org/10.5066/P9R2BND7
Description:
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).
Purpose:
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.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2020
Ending_Date: 2100
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -85.5298043267
East_Bounding_Coordinate: -83.3584914726
North_Bounding_Coordinate: 30.2546057742
South_Bounding_Coordinate: 29.2583715092
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:2b54298b-17d6-444e-8faf-cc8e33af803a
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: St. Petersburg Coastal and Marine Science Center
Theme_Keyword: SPCMSC
Theme_Keyword: Marsh Evolution
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: geoscientificInformation
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: sea-level change
Theme_Keyword: coastal processes
Theme_Keyword: ecological processes
Theme_Keyword: ecosystem resilience
Theme_Keyword: modeling
Place:
Place_Keyword_Thesaurus: Geographic Names Information System (GNIS) Content
Place_Keyword: Gulf of Mexico
Place_Keyword: Florida
Place_Keyword: Apalachicola
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.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
Cherokee Nation System Solutions contracted to the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Contact_Person: Karim Alizad
Contact_Position: Researcher VI
Contact_Address:
Address_Type: Mailing
Address: 600 4th Street South
City: St. Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: US
Contact_Voice_Telephone: 727-502-8037
Contact_Facsimile_Telephone: 727-502-8001
Contact_Electronic_Mail_Address: kalizad@contractor.usgs.gov
Data_Set_Credit: U.S. Geological Survey
Native_Data_Set_Environment: Microsoft Windows 10 Enterprise; ArcMap 10.4
Cross_Reference:
Citation_Information:
Originator:
Alizad, K., Morris, J.T., Medeiros, S.C., Passeri D.L., and Hagen, S.C.
Publication_Date: 2022
Title:
Assessing the northeastern Gulf of Mexico microtidal wetland system change in the Apalachicola-Big-Bend Region Under Sea-Level-Rise
Series_Information:
Series_Name: Science of the Total Environment
Issue_Identification: Unknown
Other_Citation_Details: 2022b
Online_Linkage: Unknown
Cross_Reference:
Citation_Information:
Originator:
Alizad, K., Hagen, S.C., Morris, J.T., Bacopoulos, P., Bilskie, M.V., Weishampel, J.F., and Medeiros, S.C.
Publication_Date: 20160213
Title:
A coupled, two-dimensional hydrodynamic-marsh model with biological feedback
Series_Information:
Series_Name: Ecological Modeling
Issue_Identification: Volume 327, May 2016, pg. 29-43
Other_Citation_Details: 2016a
Online_Linkage: https://doi.org/10.1016/j.ecolmodel.2016.01.013
Cross_Reference:
Citation_Information:
Originator:
Alizad, K., Hagen, S.C., Morris, J.T., Medeiros, S.C., Bilskie, M.V., and Weishampel, J.F.
Publication_Date: 20161015
Title:
Coastal wetland response to sea-level rise in a fluvial estuarine system
Series_Information:
Series_Name: Earth’s Future
Issue_Identification: Volume 4, Issue 11, pg. 483-497
Other_Citation_Details: 2016b
Online_Linkage: http://doi.org/10.1002/2016EF000385
Cross_Reference:
Citation_Information:
Originator:
Sweet, W.V., Kopp, R.E., Weaver, C.P., Obeysekera, J., Horton, R.M., Thieler, E.R., and Zervas, C.
Publication_Date: 2017
Title:
Global and regional sea level rise scenarios for the United States
Series_Information:
Series_Name: NOAA Technical Report
Issue_Identification: NOS CO-OPS 083
Online_Linkage: https://pubs.giss.nasa.gov/abs/sw01000b.html
Data_Quality_Information:
Logical_Consistency_Report:
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.
Completeness_Report:
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.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
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.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
Alizad, K., Hagen, S.C., Morris, J.T., Bacopoulos, P., Bilskie, M.V., Weishampel, J.F., and Medeiros, S.C.
Publication_Date: 20160213
Title:
A coupled, two-dimensional hydrodynamic-marsh model with biological feedback
Series_Information:
Series_Name: Ecological Modeling
Issue_Identification: Volume 327, May 2016, pg. 29-43
Publication_Information:
Publication_Place: Online
Publisher: Elsevier
Online_Linkage: https://doi.org/10.1016/j.ecolmodel.2016.01.013
Type_of_Source_Media: Journal
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20160213
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: Alizad and others, 2016a
Source_Contribution:
Hydro-MEM projected marsh vegetation type for the initial and future conditions under three sea-level rise scenarios.
Process_Step:
Process_Description:
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.
Process_Date: 2022
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Karim Alizad
Contact_Organization:
Cherokee Nation System Solutions contracted to the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Contact_Position: Researcher VI
Contact_Address:
Address_Type: mailing and physical address
Address: 600 4th Street S
City: St. Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: USA
Contact_Voice_Telephone: 727-502-8037
Contact_Facsimile_Telephone: 727-502-8001
Contact_Electronic_Mail_Address: kalizad@contractor.usgs.gov
Spatial_Data_Organization_Information:
Indirect_Spatial_Reference: Gulf of Mexico
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 10592
Column_Count: 20779
Vertical_Count: 1
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
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_Coordinate_Information:
Planar_Coordinate_Encoding_Method: Row and Column
Coordinate_Representation:
Abscissa_Resolution: 1
Ordinate_Resolution: 1
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.25722210100002
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label:
ABB_Init_Veg.tif, ABB_IntLow_Veg_*.tif, ABB_Int_Veg_*.tif, and ABB_IntHigh_Veg_*.tif
Entity_Type_Definition:
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.
Entity_Type_Definition_Source: USGS
Attribute:
Attribute_Label: OID
Attribute_Definition: Internal feature number
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: VALUE
Attribute_Definition: Marsh vegetation type classification value.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 5
Enumerated_Domain_Value_Definition:
Drowned forest - Coastal woody vegetation of dying or dead tree forest due to high salinity and flooding induced by SLR.
Enumerated_Domain_Value_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 10
Enumerated_Domain_Value_Definition:
Mudflat - Tidal flats where high water depth stops marsh growth, leaving behind an exposed layer of loose sediment.
Enumerated_Domain_Value_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 16
Enumerated_Domain_Value_Definition:
Low-marsh - Marsh vegetation growing at lower tidal gradients that have longer periods of tidal flooding (i.e., Spartina alterniflora).
Enumerated_Domain_Value_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 23
Enumerated_Domain_Value_Definition:
Mid-marsh - More productive marsh that can be either high marsh or low marsh vegetation.
Enumerated_Domain_Value_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 32
Enumerated_Domain_Value_Definition:
High-marsh - Marsh vegetation growing at a higher, less flooded tidal gradient (i.e., Spartina patens).
Enumerated_Domain_Value_Definition_Source: USGS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 40
Enumerated_Domain_Value_Definition: Water
Enumerated_Domain_Value_Definition_Source: USGS
Attribute:
Attribute_Label: COUNT
Attribute_Definition: The number of cells per value class.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Unrepresentable_Domain:
The number of cells per value class of marsh vegetation under the initial and three SLR scenarios.
Overview_Description:
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.
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
Cherokee Nation System Solutions contracted to the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Contact_Person: Karim Alizad
Contact_Position: Researcher VI
Contact_Address:
Address_Type: mailing address
Address: 600 4th Street South
City: St. Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: US
Contact_Voice_Telephone: 727-502-8037
Contact_Facsimile_Telephone: 727-502-8001
Contact_Electronic_Mail_Address: kalizad@contractor.usgs.gov
Resource_Description:
ABB_Init_Veg.tif, ABB_IntLow_Veg_*.tif, ABB_Int_Veg_*.tif, and ABB_IntHigh_Veg_*.tif
Distribution_Liability:
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.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: TIFF
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name:
https://coastal.er.usgs.gov/data-release/doi-P9R2BND7/data/ABB_Marsh_Vegetation_Condition.zip
Fees: None. No fees are applicable for obtaining the dataset.
Metadata_Reference_Information:
Metadata_Date: 20220621
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Karim Alizad
Contact_Organization:
Cherokee Nation System Solutions contracted to the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center
Contact_Position: Researcher VI
Contact_Address:
Address_Type: mailing address
Address: 600 4th Street South
City: St. Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: US
Contact_Voice_Telephone: 727-502-8037
Contact_Facsimile_Telephone: 727-502-8001
Contact_Electronic_Mail_Address: kalizad@contractor.usgs.gov
Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/ABB_Marsh_Vegetation_Condition_metadata.html>
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