Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2008

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Benjamin T. Gutierrez
Originator: Julia L. Heslin
Originator: Emily J. Sturdivant
Originator: Rachel E. Henderson
Originator: Travis K. Sterne
Publication_Date: 20230426
Title:
Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2008
Edition: 1.0
Geospatial_Data_Presentation_Form: tabular (.csv) and point shapefile(.shp)
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9GKXN3H
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
Online_Linkage: https://doi.org/10.5066/P9GKXN3H
Online_Linkage: Online_Linkage: Larger_Work_Citation:
Citation_Information:
Originator: Benjamin T. Gutierrez
Originator: Julia L. Heslin
Originator: Emily J. Sturdivant
Originator: Rachel E. Henderson
Originator: Travis K. Sterne
Publication_Date: 2023
Title:
Seabeach amaranth presence-absence and barrier island geomorphology metrics as relates to shorebird habitat for Assateague Island National Seashore — 2008, 2010, and 2014
Edition: 1.0
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9GKXN3H
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Suggested citation: Gutierrez, B.T., Heslin, J.L., Henderson, R.E., Sterne, T.K., and Sturdivant, E.J., 2023, Seabeach amaranth presence-absence and barrier island geomorphology metrics as relates to shorebird habitat for Assateague Island National Seashore — 2008, 2010, and 2014: U.S. Geological Survey data release, https://doi.org/10.5066/P9GKXN3H.
Online_Linkage: https://doi.org/10.5066/P9GKXN3H
Online_Linkage:
Description:
Abstract:
Seabeach amaranth (Amaranthus pumilus) is a federally threatened plant species that was once prevalent on beaches of the U.S. mid-Atlantic coast. To re-establish a population at Assateague Island National Seashore (ASIS), seabeach amaranth cultivars were planted by ASIS natural resources staff for three growing seasons from 1999 to 2001 and have been monitored since 2001. Characteristics of favorable seabeach amaranth locations were assessed by sampling barrier island and habitat characteristics at sites where plants are and are not observed in 2008, 2010, and 2014. These data can then be used to develop probabilistic models that provide maps of habitat suitability to identify high-priority areas for amaranth protection. The modeling effort also helps to inform management decisions that are most likely to result in the protection of a long-term sustainable population.
Purpose:
These data (tabular and point shapefile) include observational data of seabeach amaranth as well as random points added for analysis of habitat. Data from existing lidar, vegetation, and substrate datasets were sampled to measure site specific barrier island characteristics where seabeach amaranth (Amaranthus pumilus) was observed on Assateague Island National Seashore. In addition to compiling data where seabeach amaranth are present, an equal number of randomly distributed points were sampled from sites where no seabeach amaranth were present for the purposes of analysis and the development of habitat suitability models.
Supplemental_Information:
Presence-absence data are available in both tabular (.csv) and point shapefile (.shp) format
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2008
Currentness_Reference:
Ground condition measured by source data for given attribute as specified in process steps.
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -75.3999
East_Bounding_Coordinate: -75.0980
North_Bounding_Coordinate: 38.3211
South_Bounding_Coordinate: 37.8521
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: coastal processes
Theme_Keyword: sea-level change
Theme_Keyword: geospatial datasets
Theme_Keyword: geospatial analysis
Theme_Keyword: geomorphology
Theme_Keyword: erosion
Theme_Keyword: transect sampling
Theme_Keyword: hazards
Theme_Keyword: geographic information systems
Theme_Keyword: land use and land cover
Theme_Keyword: vegetation
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: environment
Theme_Keyword: geoscientificInformation
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Assateague Island
Theme_Keyword: Geographic Information Systems
Theme_Keyword: Coastal Hazards
Theme_Keyword: Probability
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: Coastal Erosion
Theme_Keyword: Barrier Island
Theme_Keyword: Coastal and Marine Hazards and Resources Program
Theme_Keyword: Seabeach amaranth
Theme_Keyword: Erosion
Theme_Keyword: CMHRP
Theme_Keyword: Coastal processes
Theme_Keyword: GIS
Theme_Keyword: Woods Hole Coastal and Marine Science Center
Theme_Keyword: Coastal Habitat
Theme_Keyword: USGS
Theme_Keyword: Assateague Island National Seashore
Theme_Keyword: Sea-level change
Theme_Keyword: Shoreline Change
Theme_Keyword: hazards
Theme_Keyword: MHW
Theme_Keyword: Sea Level Rise
Theme_Keyword: Bayesian Network
Theme_Keyword: Mean High Water
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:61d32b67d34ed79293fe6d17
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: VA
Place_Keyword: Delmarva Peninsula
Place_Keyword: Atlantic Ocean
Place_Keyword: Assateague Island
Place_Keyword: Chincoteague National Wildlife Refuge
Place_Keyword: North America
Place_Keyword: Maryland
Place_Keyword: United States
Place_Keyword: USA
Place_Keyword: Virginia
Place_Keyword: MD
Place_Keyword: Assateague Island National Seashore
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 (USGS) as the source of this information.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Benjamin T. Gutierrez
Contact_Position: Geologist
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: US
Contact_Voice_Telephone: 508-548-8700 x2289
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: bgutierrez@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: Browse_Graphic_File_Description:
Map extent of seabeach amaranth presence-absence data on Assateague Island, for the year 2008
Browse_Graphic_File_Type: JPEG
Cross_Reference:
Citation_Information:
Originator: Benjamin T. Gutierrez
Originator: Erika E. Lentz
Publication_Date: 2023
Title:
Developing a habitat model to support management of threatened seabeach amaranth (Amaranthus pumilus) at Assateague Island National Seashore, Maryland and Virginia
Series_Information:
Series_Name: Scientific Investigations Report
Issue_Identification: 2023–5034
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Scientific Investigations Report associated with data releases DOI:10.5066/P9IZMQ1B and DOI:10.5066/P9GKXN3H. Suggested citation: Gutierrez, B.T., and Lentz, E.E., 2023, Developing a habitat model to support management of threatened seabeach amaranth (Amaranthus pumilus) at Assateague Island National Seashore, Maryland and Virginia: U.S. Geological Survey Scientific Investigations Report 2023–5034, https://doi.org/10.3133/sir20235034.
Online_Linkage: https://doi.org/10.3133/sir20235034
Online_Linkage: https://pubs.usgs.gov/sir/2023/5034/sir20235034.pdf
Cross_Reference:
Citation_Information:
Originator: Kathryn M. Weber
Originator: Jeffrey H. List
Originator: Karen L. M. Morgan
Publication_Date: 20050101
Title:
An Operational mean high water eatum for determination of shoreline position from topographic lidar data
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2005-1027
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20051027
Online_Linkage: https://pubs.usgs.gov/of/2005/1027/
Cross_Reference:
Citation_Information:
Originator: Benjamin T. Gutierrez
Originator: Emily J. Sturdivant
Originator: Sara L. Zeigler
Publication_Date: 20190101
Title:
Evaluating barrier island characteristics and piping plover (Charadrius melodus) habitat availability along the U.S. Atlantic coast—Geospatial approaches and methodology
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2019–1071
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Details the methods used to process these data for use in barrier island and piping plover habitat modeling.
Online_Linkage: https://doi.org/10.3133/ofr20191071
Cross_Reference:
Citation_Information:
Originator: Emily J. Sturdivant
Originator: Sara L. Zeigler
Originator: Benjamin T. Gutierrez
Originator: Kathryn M. Weber
Publication_Date: 20191220
Title:
DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Assateague Island, MD & VA, 2014
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9V7F6UX
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
Other_Citation_Details: Website accessed 4/27/2022.
Online_Linkage: https://doi.org/10.5066/P9V7F6UX
Online_Linkage: Larger_Work_Citation:
Citation_Information:
Originator: Emily J. Sturdivant
Originator: Sara L. Zeigler
Originator: Benjamin T. Gutierrez
Originator: Kathryn M. Weber
Publication_Date: 2019
Title:
Barrier island geomorphology and shorebird habitat metrics: Sixteen sites on the U.S. Atlantic Coast, 2013–2014
Edition: 1.0
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9V7F6UX
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Suggested citation: Sturdivant, E.J., Zeigler, S.L., Gutierrez, B.T., and Weber, K.M., 2019, Barrier island geomorphology and shorebird habitat metrics—Sixteen sites on the U.S. Atlantic Coast, 2013–2014: U.S. Geological Survey data release, https://doi.org/10.5066/P9V7F6UX.
Online_Linkage: https://doi.org/10.5066/P9V7F6UX
Online_Linkage:
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Attribute values at each point represent a 5 x 5 m square centered at the point. The values are compiled from multiple sources. The following method was used to validate attribute accuracy: symbolized display of point attribute values overlaid for each raster dataset followed by overlaying point data over each raster to confirm spot checks for data and topological accuracy using ArcGIS Pro version 2.0. These checks were performed by at least one of the authors. Mean high-water (MHW) shoreline position and dune metric (foredune crest and dune toe position and elevation) accuracy depend on the accuracy of the source data (Doran and others, 2017). Distances to foredune crest and dune toe positions were only considered when they occurred within 200 m of a point. Where these metrics exceeded this distance, NoData values (-99999) were used.
Logical_Consistency_Report:
These datasets consist of data compiled from multiple sources and aggregated spatially. The data were reviewed by the authors using standard USGS review procedures. No checks for topological consistency in beyond those described in the Attribute Accuracy Report were performed on these data. The primary vertical datum used is NAVD88, the same as the source datasets, lidar and geomorphology points (e.g. shoreline, dune crest, and dune toe). Some fields (those with a 'mhw' suffix and explained in the Entity and Attribute section) include the elevation adjusted to the mean high water (MHW) datum calculated by Weber and others (2005) for the area. Where a given attribute value could not be calculated due to lack of input data in the source dataset, a NoData value of -99999 was recorded for the attribute.
Completeness_Report:
Dataset completeness is dependent on the completeness of the source data. Points exist where seabeach amaranth presence for the given year (2008) are observed. Additional randomly spaced points are added to the dataset following previous species distribution model research (see Gutierrez and Lentz [2023] for citations), allowing detailed geomorphic characteristics to be sampled where plants occur as well as at random point locations across the island.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Depending on the attribute, the accuracy is assumed to be between 5 and 25 m. The horizontal positional accuracy is dependent on the accuracy of the source data and error incorporated during processing. Refer to the process steps for details.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
The vertical accuracy of those attributes that incorporate vertical position is dependent on the digital elevation model and its source data (see Source Information in Process Steps) as well as the MHW datum produced by Weber and others (2005).
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Assateague Island National Seashore
Publication_Date: 20041104
Title:
Assateague Island National Seashore North End Piping Plover habitat collected in 2008.
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Berlin, Maryland
Publisher: Assateague Island National Seashore
Other_Citation_Details:
This map file contains polygons representing the ocean and bay shoreline, herbaceous, sparse, and woody vegetation, ponds, and mudflats on the northern 9.5 kilometers of Assateague Island. Data retrieved from asis-nps.opendata.arcgis.com are projected to WGS 1984 Web Mercator Auxiliary Sphere. Data received directly from NPS Assateague Island National Seashore staff in May of 2012 (data were aquired before they were publically available). Data remain in UTM zone 18-N NAD 83 2011 projection. Website accesseed 04/26/2022.
Online_Linkage: Online_Linkage:
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20081017
Ending_Date: 20110328
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: vegetation_raw
Source_Contribution:
The data were used to extract information about the vegetation type.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management (NOAA/OCM)
Publication_Date: 20100101
Title:
2008 USGS Coastal Lidar: Assateague Island (MD,VA) Point Cloud files with Orthometric Vertical Datum North American Vertical Datum of 1988 (NAVD88) using GEOID18
Publication_Information:
Publication_Place: Charleston, SC
Publisher: NOAA Office for Coastal Management (NOAA/OCM)
Other_Citation_Details:
dataset credit: The U.S. Geological Survey, National Park Service, and National Aeronautics and Space Administration request to be acknowledged as originators of this data in future products or derivative research. Acknowledgment of the U.S. Geological Survey, Florida Integrated Science Center, as a data source would be appreciated in products developed from these data, and such acknowledgement as is standard for citation and legal practices for data source is expected by users of this data. Sharing new data layers developed directly from these data would also be appreciated by the U.S. Geological Survey staff. Website accesseed 04/26/2022.
Online_Linkage: Online_Linkage: https://coast.noaa.gov/htdata/lidar1_z/geoid18/data/531/
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20080915
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: DEM_raw
Source_Contribution: Lidar data used to extract geomorphology metrics.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Kara J. Doran
Originator: Joseph W. Long
Originator: Justin J Birchler
Originator: Owen T. Brenner
Originator: Matthew W. Hardy
Originator: Karen L. M. Morgan
Originator: Hilary F. Stockdon
Originator: Miguel L. Torres
Publication_Date: 2017
Title:
Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines
Geospatial_Data_Presentation_Form: tabular digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/F7GF0S0Z
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Affiliated datasets created using the same methods. A version of this geomorphology points dataset is available as 08LTS05_morphology.zip These data were made available to us prior to publication and as a result, processing steps may differ from what is described here. The first link is to the data release page, the second is to download a .zip file with the data used for this report. Website accessed 4/27/2022.
Online_Linkage: https://doi.org/10.5066/F7GF0S0Z
Online_Linkage:
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1998
Ending_Date: 2018
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: morphology_raw
Source_Contribution:
Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines used to extract distance from morphology to sampling locations
Source_Information:
Source_Citation:
Citation_Information:
Originator: Jonathan Chase
Originator: Bill Hulslander
Originator: Mark Strum
Originator: Chris Lee
Originator: Benjamin Gutierrez
Originator: Rachel E. Henderson
Originator: Travis K. Sterne
Publication_Date: 2023
Title:
Assateague Island Seabeach Amaranth Survey Data — 2001 to 2018
Geospatial_Data_Presentation_Form: tabular data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9IZMQ1B
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Suggested citation: Chase, J., Hulslander, B., Strum, M., Lea, C., Gutierrez, B., Henderson, R.E., and Sterne T.K., 2023, Assateague Island Seabeach Amaranth Survey Data — 2001 to 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9IZMQ1B. This dataset (P9IZMQ1B) contributed to this data release (P9GKXN3H) and was released simultaneously.
Online_Linkage: https://doi.org/10.5066/P9IZMQ1B
Online_Linkage:
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2001
Ending_Date: 2018
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: field_data_raw
Source_Contribution:
Data collected by NPS from 2001 - 2018, used to identify the presence seabeach amaranth at Assateague Island.
Process_Step:
Process_Description:
This and subsequent process steps were performed in ArcGIS Pro’s Python window. The original code was written by Emily J. Sturdivant, and the code was translated into process steps by Julia L. Heslin.
Process_Date: 2021
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Julia L. Heslin
Contact_Organization: U.S. Geological Survey
Contact_Position: Geographer
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02540
Contact_Voice_Telephone: 508-457-2262
Contact_Electronic_Mail_Address: jheslin@usgs.gov
Process_Step:
Process_Description:
1) DEM Processing: A few steps were required to process the DEM from raw data (DEM_raw). It is important to note that all source data were projected to the NAD83 UTM Zone 18N before processing.The DEM tile(s) were copied from their native GeoTIFF format to a file geodatabase (Data Management Tools >> Raster >> Raster Dataset >> Copy Raster. The study area may be comprised of multiple DEM tiles which were mosaicked into a single mosaic dataset (Data Management Tools >> Raster >> Raster Dataset >> Mosaic) (DEM_preprocessed) . Any NoData values that were present in the DEM were set to null (Spatial Analyst Tools >> Conditional >> Set Null). Unless otherwise noted, the following steps were performed by one person, Julia L. Heslin.
Source_Used_Citation_Abbreviation: DEM_raw
Process_Date: 20210601
Source_Produced_Citation_Abbreviation: DEM_preprocessed
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Julia L. Heslin
Contact_Organization: U.S. Geological Survey
Contact_Position: Geographer
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02540
Contact_Voice_Telephone: 508-457-2262
Contact_Electronic_Mail_Address: jheslin@usgs.gov
Process_Step:
Process_Description:
2) Morphology processing: A dataset with morphological characteristics, was available for the extraction of multiple variables, specifically dune toe, dune crest, and shoreline point location information for Assateague Island. For 2008 the morphology dataset (morphology_raw) was read from the source Excel spreadsheet as a data frame using the Python Pandas library (https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html). A sort field (sort_fld) was added to generate a unique ID. The morphology data were converted to feature classes using the corresponding latitude and longitude fields provided in the spreadsheet. The Excel spreadsheet was converted to a NumPy array, then to a feature class (Python >> Data Access Module >> Functions >> NumPyArrayToFeatureClass). This was repeated for the dune toe (or dune low) points (DL_pts), dune crest (or dune high) points (DH_pts), and shoreline points (SLpts).
Source_Used_Citation_Abbreviation: morphology_raw
Process_Date: 20210601
Source_Produced_Citation_Abbreviation: DL_pts
Source_Produced_Citation_Abbreviation: DH_pts
Source_Produced_Citation_Abbreviation: SL_pts
Process_Step:
Process_Description:
3) Barrier island boundary processing: A polygon delineating the barrier island boundary was created using the DEM (DEM_preprocessed) and morphology source data (SL_pts) (see process steps 1 and 2). Several tools were needed to convert the previously created boundary data to the barrier island boundary used in this project. Using the Con tool (Geoprocessing Tools >> Spatial Analyst >> Conditional >> Con), the DEM was reclassified where anything above the local MHW value was assigned as 1. The raster was converted to a polygon feature class (Geoprocessing Tools >> Conversion >> From Raster >> Raster to Polygon) and aggregated (Geoprocessing Tools >> Cartography >> Generalization >> Aggregate Polygons) to merge any features at least 300 square meters in size within a 10 meter distance of each other. These same steps were performed to create polygon features at the mean tide level (MTL), which is MHW (0.34) plus the local mean low water (MLW) (-0.13) divided by two. The purpose of this is to capture the extent of the bay side shoreline of the island.
The MHW and MTL polygons were then combined into one bayside polygon. Before this, inlet lines were manually drawn to capture the edges of the barrier island using the basemap imagery from Esri. These inlet lines were saved as a feature class (inlet_lines). Then, the Symmetrical Difference tool (Geoprocessing Tools >> Analysis >> Overlay >> Symmetrical Difference) was used to find where the MHW and MTL polygons intersected and keep features where they do not overlap (symdiff). Using the Feature to Polygon tool (Geoprocessing Tools >> Data Management >> Features >> Feature to Polygon), any extraneous shoreline polygon features were split using the symdiff and inlet_lines feature classes (split). This split feature class was then spatially joined with the SL_pts features (extracted from process step 2). Any of the split polygon features that completely contained shoreline points were kept (split_join). Then, any features from the symdiff and split_join feature classes that overlapped were removed using the Erase tool (Geoprocessing Tools >> Analysis >> Overlay >> Erase).
The bayside polygon was combined with the MHW polygon using the Union tool (Geoprocessing Tools >> Analysis >> Overlay >> Union). All features from this output were dissolved to make a single part polygon (Geoprocessing Tools >> Data Management >> Generalization >> Dissolve). Any extraneous features that did not reflect the barrier island boundary (barrier_boundary) were manually deleted.
The last step in creating the barrier island boundary polygon was to snap the polygon to the shoreline points within a 25 meter distance where they don’t already match. The Densify tool (Geoprocessing Tools >> Editing >> Densify) was used to add new vertices to the barrier island boundary at 25 meter increments. These vertices were then snapped to the shoreline points as long as they were within 25 meters of each other. After this step, any holes that existed in the barrier island boundary polygon were deleted using the Eliminate Polygon Part tool (Geoprocessing Tools >> Data Management >> Generalization >> Eliminate Polygon Part). Any part less than 99% of the total polygon area that was contained in the barrier island boundary was deleted. This is to ensure that all holes in the polygon were eliminated. Finally, the Dissolve tool was used to aggregate the individual polygons into a single multi-part feature.
Source_Used_Citation_Abbreviation: DEM_preprocessed
Source_Used_Citation_Abbreviation: SL_pts
Process_Date: 20210601
Source_Produced_Citation_Abbreviation: barrier_boundary
Source_Produced_Citation_Abbreviation: inlet_lines
Process_Step:
Process_Description:
4) DEM raster extraction: Using the barrier island boundary as the extent (see step 3), the DEM was then resampled to a five meter pixel size using a bilinear resampling technique (Data Management Tools >> Raster >> Raster Processing >> Resample). It was then adjusted to the local mean high water (MHW) for the study area (0.34m) by subtracting 0.34 from the DEM (3D Analyst Tools >> Raster Math >> Minus) (local_MHW_DEM).
Additional rasters were calculated using the DEM, including aspect (3D Analyst Tools >> Raster Surface >> Aspect) and slope (with the output measurement set as percent rise) (3D Analyst Tools >> Raster Surface >> Slope).
Source_Used_Citation_Abbreviation: DEM_preprocessed
Process_Date: 20210601
Source_Produced_Citation_Abbreviation: slope
Source_Produced_Citation_Abbreviation: aspect
Source_Produced_Citation_Abbreviation: local_MHW_DEM
Process_Step:
Process_Description:
5) Morphology raster extraction: Using the barrier island boundary as the extent (see step 3), some distance rasters using the Euclidean Distance tool (Geoprocessing Tools >> Spatial Analyst >> Distance >> Euclidean Distance) were created using the preprocessed morphology points.
Two rasters were created related to the shoreline morphology: distance to the full island shoreline; and distance to the oceanside shoreline. In order to retrieve the distance to the full island shoreline, the barrier_boundary was converted to a line using the Polygon to Line tool (Geoprocessing Tools >> Data Management >> Features >> Polygon to Line). This line feature was used to calculate the distance to the full boundary shoreline. To calculate the distance to the oceanside shoreline, first the barrier_boundary and inlet_lines were converted using the Feature to Line tool (Geoprocessing Tools >> Data Management >> Features >> Feature to Line) indicating where the inlets split the shoreline. Then, the SL_pts file was spatially joined to the split shoreline feature class. Any line features that completely contained the SL_pts were kept. The shoreline was then aggregated to one oceanside shoreline feature using the Dissolve tool (Geoprocessing Tools >> Data Management >> Generalization >> Dissolve) and used to generate the oceanside shoreline distance raster (distance_to_oceanside_shoreline).
Additional distance rasters using the dune toe, dune crest, and inlet features were created. The DL_pts and DH_pts were used to derive the distance_to_DL and distance_to_DH rasters (with 200 meters being the maximum threshold value). The inlet at Ocean City (which was manually selected and saved as a separate feature class) was used to create the distance_to_OceanCity_inlet raster.
Source_Used_Citation_Abbreviation: DL_pts
Source_Used_Citation_Abbreviation: DH_pts
Source_Used_Citation_Abbreviation: SL_line
Source_Used_Citation_Abbreviation: barrier_boundary
Source_Used_Citation_Abbreviation: inlet_lines
Process_Date: 20210601
Source_Produced_Citation_Abbreviation: distance_to_full_shoreline
Source_Produced_Citation_Abbreviation: distance_to_oceanside_shoreline
Source_Produced_Citation_Abbreviation: distance_to_DH
Source_Produced_Citation_Abbreviation: distance_to_DL
Source_Produced_Citation_Abbreviation: distance_to_OceanCity_inlet
Process_Step:
Process_Description:
6) Field data processing: Field data documenting locations of seabeach amaranth plants (field_data_raw) were used in the creation of this dataset. The field dataset has records of seabeach amaranth locations, grazed status, and other attributes from 2001-2018.
The seabeach amaranth field data, originally formatted as an Excel spreadsheet, were imported as a Python Pandas data frame (amaranth_data_frame). Since the field data contains data from multiple years, rows from the year in question were selected.
The data frame was converted to a feature class by first keeping all columns from the data frame and converting them to a NumPypy array. The NumPyArrayToFeatureClass function (Python >> Data Access Module >> Functions >> NumPyArrayToFeatureClass) was used to convert the array to a feature class.
A training dataset with random points and plant observations (training_pts) was created first by generating random points using the Create Random Points tool (Geoprocessing Tools >> Data Management >> Sampling >> Create Random Points). The random points distributed within the barrier island boundary polygon (created in step 3) no less than 5 meters apart. The random points were merged with the plant observations into one feature class. A flag field called plant_presence was created to distinguish plants from random points (a value of 1 indicates plant presence and 0 indicates a random point).
A feature class of plants from the previous year (lastyr_pts) was created by selecting the rows in the field data data frame from the previous year, which for this dataset was 2007. The selected rows in the data frame were converted to a NumPy array then to feature class using the NumPyArrayToFeatureClass function (Python >> Data Access Module >> Functions >> NumPyArrayToFeatureClass). A tally field (called cnt) was added to the lastyear_pts feature class.
Source_Used_Citation_Abbreviation: field_data_raw
Process_Date: 20210601
Source_Produced_Citation_Abbreviation: amaranth_data_frame
Source_Produced_Citation_Abbreviation: training_pts
Source_Produced_Citation_Abbreviation: lastyr_pts
Process_Step:
Process_Description:
7)Field data raster extraction:
A raster dataset indicating the number of last year’s (2007) points within a 30 meter radius of a grid cell was created. The NbrCircle tool was used to specify this radius value (Python >> Spatial Analyst module >> Classes >> Neighborhood classes >> NbrCircle). The Point Statistics tool (Geoprocessing Tools >> Spatial Analyst >> Neighborhood >> Point Statistics) was used to create a raster of the number of last year’s points in the 30 meter radius.
Distance and direction rasters to the nearest plant from the previous year were also created. The Euclidean Distance tool was used to calculate: a distance raster with 200 meters being the maximum threshold distance the raster values cannot exceed (distance_to_plant); and a direction raster (direction_to_plant). Another direction raster relative to the adjacent mean high water shoreline was generated as well (direction_to_shore).
The difference between direction_to_plant and direction_to_shore was calculated with the Minus tool (3D Analyst Tools >> Raster Math >> Minus) (direction_to_plant_alongshore). The values from this raster indicate updrift (0 to 180) and downdrift (less than 0 or greater than 180). The dir2plant_alongshore raster was reclassified into these two categories (1 for updrift and –1 for downdrift) (Geoprocessing Tools >> Spatial Analyst >> Reclass >> Reclassify). The reclassified raster was multiplied by the distance_to_plant raster to get the final distance raster (distance_to_plant_final), where positive values indicate updrift and negative indicate downdrift.
Source_Used_Citation_Abbreviation: training_pts
Source_Used_Citation_Abbreviation: lastyr_pts
Process_Date: 20210601
Source_Produced_Citation_Abbreviation: direction_to_plant
Source_Produced_Citation_Abbreviation: distance_to_plant_final
Process_Step:
Process_Description:
8)Vegetation processing: The original vegetation data (vegetation_raw) were in a shapefile format and were first imported into a file geodatabase for processing. The vegetation feature class was then converted to a raster (Conversion Tools >> To Raster >> Polygon to Raster) (vegetation_raster).
Source_Used_Citation_Abbreviation: vegetation_raw
Process_Date: 20210601
Source_Produced_Citation_Abbreviation: vegetation_raster
Process_Step:
Process_Description:
9)Raster to spreadsheet (.csv): From the raster datasets created from the process steps above (vegetaion, elevation, and distance rasters), the pixel values were extracted to the corresponding training points feature class (training_pts) (Spatial Analyst Tools >> Extraction >> Extract Multi Values to Points). Extracted values can be found in the field attributes of the final csv.
The training points feature class (training_pts) was then converted to a data frame by first converting the points to a NumPy array (Python >> Data Access Module >> Functions >> FeatureClassToNumPyArray), then to a Python dictionary, then a data frame using the Pandas library.
The plants data frame (amaranth_data_frame) described in process step 6 was then joined with this data frame described in the previous paragraph (data frame from training_pts). Fields for lat and lon were added as attributes to this data frame and calculated using the PyProj library (https://pyproj4.github.io/pyproj/v2.2.0rel/api/transformer.html#pyproj-transform). The data frame was then written to an Excel spreadsheet using the Python Pandas library (https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_excel.html).
Source_Used_Citation_Abbreviation: slope
Source_Used_Citation_Abbreviation: aspect
Source_Used_Citation_Abbreviation: local_MHW_DEM
Source_Used_Citation_Abbreviation: distance_to_full_shoreline
Source_Used_Citation_Abbreviation: distance_to_oceanside_shoreline
Source_Used_Citation_Abbreviation: distance_to_DH
Source_Used_Citation_Abbreviation: distance_to_DL
Source_Used_Citation_Abbreviation: direction_to_plant
Source_Used_Citation_Abbreviation: distance_to_plant_final
Source_Used_Citation_Abbreviation: vegetation_raster
Source_Used_Citation_Abbreviation: amaranth_data_frame
Source_Used_Citation_Abbreviation: training_pts
Process_Date: 20210601
Source_Produced_Citation_Abbreviation: Presence_Absence_pts2008.csv
Process_Step:
Process_Description:
10) Conversion of csv to shapefile. The .csv file was converted to a shapefile by right clicking the dataset in ArcMap, and selecting "Display XY Data" where x_utm and y_utm were chosen for the x and y fields respectively, and the coordinate system NAD_1983_UTM_Zone_18N was selected for the dataset.
Source_Used_Citation_Abbreviation: Presence_Absence_pts2008.csv
Process_Date: 20211205
Source_Produced_Citation_Abbreviation: Presence_Absence_pts2008.shp
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Rachel E. Henderson
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: mailing and physical address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700
Contact_Electronic_Mail_Address: rehenderson@contractor.usgs.gov
Process_Step:
Process_Description:
11) Coordinate system updated from projected coordinates in "NAD_1983_UTM_Zone_18N" to geographic "GCS_North_American_1983" for publication using ArcToolbox > Data Management Tools > Projections and Transformations > Project
Process_Date: 20220105
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Rachel E. Henderson
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: mailing and physical address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700
Contact_Electronic_Mail_Address: rehenderson@contractor.usgs.gov
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Point
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: Entity Point
Point_and_Vector_Object_Count: 2096
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Geographic:
Latitude_Resolution: 0.0197565644
Longitude_Resolution: 0.0249839066
Geographic_Coordinate_Units: Decimal seconds
Geodetic_Model:
Horizontal_Datum_Name: North_American_Datum_1983
Ellipsoid_Name: GRS_1980
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257222101
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: Presence_Absence_pts2008.shp
Entity_Type_Definition:
Point dataset containing the presence-absence of seabeach amaranth, as well as site specific barrier island geomorphology. A csv file containing the same fields for all sample records is also included in the dataset; see the Entity and Attribute Overview for a description of the .csv file. Point object count: 2096
Entity_Type_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: FID
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: Shape
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain: Type of shape feature
Attribute:
Attribute_Label: OBJECTID
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: New_ID
Attribute_Definition:
A running tally of the total number of amaranth plants for field collected data. Additional points added to the dataset (random points) have a value of -99999.
Attribute_Definition_Source: NPS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 7210
Range_Domain_Maximum: 8257
Attribute_Units_of_Measure: plant ID
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -99999
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: plant_pres
Attribute_Definition:
Numerical value indicating the presence (1) or absence (0) of the plant species seabeach amaranth (Amaranthus pumilus).
Attribute_Definition_Source: NPS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 0
Enumerated_Domain_Value_Definition: absence of amaranth
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 1
Enumerated_Domain_Value_Definition: presence of amaranth
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute:
Attribute_Label: elev_mhw
Attribute_Definition:
The elevation (in meters) above Mean High Water (see process step description for DEM raster extraction: local_MHW_DEM).
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -0.88
Range_Domain_Maximum: 7.69
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: aspect
Attribute_Definition:
The aspect (compass direction that a slope faces) of the land surface (see process description for DEM raster extraction: aspect).
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.24
Range_Domain_Maximum: 359.92
Attribute_Units_of_Measure: degrees
Attribute:
Attribute_Label: slope
Attribute_Definition:
The slope of the land surface (see process description for DEM raster extraction: slope).
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.04
Range_Domain_Maximum: 30.83
Attribute_Units_of_Measure: percent rise ([rise/run] * 100)
Attribute:
Attribute_Label: distSL_ful
Attribute_Definition:
Values extracted from the "distance_to_full_shoreline" raster, (see process step for Morphology raster extraction)
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 1182.9
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: distSL_oce
Attribute_Definition:
Values extracted from the "distance_to_oceanside_shoreline" raster, (see process step for Morphology raster extraction)
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 4226.2
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: distDH_200
Attribute_Definition:
Values extracted from a the "distance_to_DH " raster, (see process step for Morphology raster extraction). Any distance beyond 200 meters was given a –99999 value.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 200
Attribute_Units_of_Measure: meters
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -99999
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: distDL_200
Attribute_Definition:
Values extracted from the "distance_to_DL " raster, (see process step for Morphology raster extraction). Any distance beyond 200 meters was given a –99999 value.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 198
Attribute_Units_of_Measure: meters
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -99999
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: dist_OCinl
Attribute_Definition:
Distance to Ocean City Inlet, MD. (see process description for DEM raster extraction: distance_to_OceanCity_inlet raster).
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 621.7
Range_Domain_Maximum: 58165.5
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: veg_type
Attribute_Definition:
Vegetation type value extracted from "vegetation_raster" (see process description for Vegetation processing:vegetation_raster) No data are given a value of -99999
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 1
Enumerated_Domain_Value_Definition: Woody Vegetation
Enumerated_Domain_Value_Definition_Source: NPS - Assateague Island National Seashore
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 2
Enumerated_Domain_Value_Definition: Sparse Vegetation
Enumerated_Domain_Value_Definition_Source: NPS - Assateague Island National Seashore
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 3
Enumerated_Domain_Value_Definition: Herbaceous Vegetation
Enumerated_Domain_Value_Definition_Source: NPS - Assateague Island National Seashore
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 4
Enumerated_Domain_Value_Definition: Water
Enumerated_Domain_Value_Definition_Source: NPS - Assateague Island National Seashore
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 5
Enumerated_Domain_Value_Definition: Mud Flat
Enumerated_Domain_Value_Definition_Source: NPS - Assateague Island National Seashore
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -99999
Enumerated_Domain_Value_Definition: no data
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: cnt30preYR
Attribute_Definition:
Number of plants (seabeach amaranth) from the previous year (2007) within 30 m of the data point.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 127
Attribute_Units_of_Measure: number of plants
Attribute:
Attribute_Label: ABdistpreY
Attribute_Definition:
Absolute value of the minimum distance to a plant (seabeach amaranth) from the previous year (2007). (see process step: Field data raster extraction, for details).
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 21041.8
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: x_utm
Attribute_Definition: The x coordinate of the data point (NAD83 UTM Zone 18N)
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 464832.1
Range_Domain_Maximum: 491436.2
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: y_utm
Attribute_Definition: The y coordinate of the data point (NAD83 UTM Zone 18N)
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 4189474.7
Range_Domain_Maximum: 4241448.7
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: YEAR
Attribute_Definition: The year the survey data relate to.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain: The year the survey data relate to.
Attribute:
Attribute_Label: AREA_cm2
Attribute_Definition:
Total leaf/ plant area in centimeters squared occupied by the living portions of the plant when seen from above in a horizontal plane. Value of –99999 indicates no data.
Attribute_Definition_Source: NPS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1
Range_Domain_Maximum: 500
Attribute_Units_of_Measure: cm2
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -99999
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: Caged
Attribute_Definition:
Was the plant caged - Yes (1) or No (0). Value of –99999 indicates no data or randomly generated point data.
Attribute_Definition_Source: NPS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 0
Enumerated_Domain_Value_Definition: no cage
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 1
Enumerated_Domain_Value_Definition: cage
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -99999
Enumerated_Domain_Value_Definition: no data
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey.
Attribute:
Attribute_Label: Ungulate_G
Attribute_Definition:
Was the plant grazed by ungulates (eg. horses or deer)? Yes (1) or No (0). Value of –99999 indicates no data or randomly generated point data.
Attribute_Definition_Source: NPS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 0
Enumerated_Domain_Value_Definition: no graze
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 1
Enumerated_Domain_Value_Definition: ungulate grazed
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -99999
Enumerated_Domain_Value_Definition: no data
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey.
Attribute:
Attribute_Label: Insect_Gra
Attribute_Definition:
Was the plant grazed by insects? Yes (1) or No (0). Value of –99999 indicates no data or randomly generated point data.
Attribute_Definition_Source: NPS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 0
Enumerated_Domain_Value_Definition: no graze
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 1
Enumerated_Domain_Value_Definition: insect grazed
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -99999
Enumerated_Domain_Value_Definition: no data
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey.
Attribute:
Attribute_Label: Grazed
Attribute_Definition:
Was the plant grazed by anything? If identification is possible, by what? Value of –99999 indicates no data or randomly generated point data.
Attribute_Definition_Source: NPS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 0
Enumerated_Domain_Value_Definition: not grazed
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 1
Enumerated_Domain_Value_Definition: grazed
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 2
Enumerated_Domain_Value_Definition: Deer herbivory
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 3
Enumerated_Domain_Value_Definition: Horse herbivory
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 4
Enumerated_Domain_Value_Definition: Insect herbivory
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 5
Enumerated_Domain_Value_Definition: Horse and insect herbivory
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 6
Enumerated_Domain_Value_Definition: Deer and insect herbivory
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 7
Enumerated_Domain_Value_Definition: ungrazed
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 8
Enumerated_Domain_Value_Definition: grazed
Enumerated_Domain_Value_Definition_Source:
Ungulate grazed but not able to identify source of grazing-deer or horse.
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 9
Enumerated_Domain_Value_Definition:
Ungulate and insect grazed but not able to identify source of ungulate grazing - deer or horse.
Enumerated_Domain_Value_Definition_Source: Determined by the observer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -99999
Enumerated_Domain_Value_Definition: no data
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey.
Attribute:
Attribute_Label: lon_nad83
Attribute_Definition: The longitude of the data point
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -75.399883
Range_Domain_Maximum: -75.097964
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: lat_nad83
Attribute_Definition: The latitude of the data point.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 37.852111
Range_Domain_Maximum: 38.321111
Attribute_Units_of_Measure: meters
Overview_Description:
Entity_and_Attribute_Overview:
This section describes the tabular data associated with the shapefile and the corresponding csv file Presence_Absence_pts2008 (.shp/.csv). These metadata list all possible values for enumerated domains (e.g. Grazed); however, some of the values described may not be present in this dataset. These files describe the same data, and share the same attribute information. The tabular .csv data does not have the attributes "FID" or "Shape" The shapefile is projected in GCS_North_American_1983, and the .csv file has both GCS_North_American_1983 (Point_X, Point_Y) and UTM NAD83 coordinates )(Northing, Easting) defined. Please review the individual attribute descriptions for detailed information.
Entity_and_Attribute_Detail_Citation: U.S. Geological Survey - ScienceBase
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey - ScienceBase
Contact_Address:
Address_Type: mailing and physical
Address: Denver Federal Center, Building 810, Mail Stop 302
City: Denver
State_or_Province: CO
Postal_Code: 80225
Country: US
Contact_Voice_Telephone: 1-888-275-8747
Contact_Electronic_Mail_Address: sciencebase@usgs.gov
Resource_Description:
The dataset contains the point shapefile (Presence_Absence_pts2008.shp with all associated components) and the tabular data (Presence_Absence_pts2008.csv) for presence-absence of seabeach amaranth and site-specific barrier island geomorphology metrics, and the FGDC CSDGM metadata in HTML and XML format (Presence_Absence_pts2008_metadata.html, Presence_Absence_pts2008_metadata.xml).
Distribution_Liability:
Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), and have been processed successfully on a computer system at the 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. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Shapefile
Format_Version_Number: ArcGIS Pro 2.0
Format_Specification: Esri point shapefile
Format_Information_Content:
These files (.cpg, .dbf, .prj, .sbn, .sbx, .shp, .html, and .shx) are a collection of files with a common filename prefix and must be downloaded and stored in the same directory. Together they are the components of the shapefile and include FGDC CSDGM-compliant metadata in HTML format.
Transfer_Size: 1
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: Access_Instructions:
The first link is to the USGS publication page, the second link downloads all the data on the landing page, and the third link is to the dataset landing page.
Digital_Form:
Digital_Transfer_Information:
Format_Name: CSV
Format_Version_Number: ArcGIS Pro 2.0
Format_Specification: comma-separated values table
Format_Information_Content:
This dataset contains data as a comma-separated values (CSV) table and CSDGM metadata.
Transfer_Size: 1
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: Access_Instructions:
The first link is to the USGS publication page, the second link downloads all the data on the landing page, and the third link is to the dataset landing page.
Fees: None
Technical_Prerequisites:
To utilize these data, the user must have software capable of reading a comma-delimited data file. These data are also available in a point shapefile format. The user must have software to read and process the data components of a shapefile.
Metadata_Reference_Information:
Metadata_Date: 20230426
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Rachel E. Henderson
Contact_Address:
Address_Type: mailing and physical address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700
Contact_Electronic_Mail_Address: whsc_data_contact@usgs.gov
Contact_Instructions:
The metadata contact email address is a generic address in the event the person is no longer with USGS.
Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time

This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/SB_data_release/DR_P9GKXN3H/Presence_Absence_pts2008_metadata.html>
Generated by mp version 2.9.51 on Wed Apr 26 14:01:49 2023