20220103
13213800
1.0
FGDC CSDGM Metadata
FALSE
HWVI_wm
-8554365.409500
-8505142.351900
4465634.199700
4519402.483500
1
0.307
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.6'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20220103
14300400
20220103
14354000
FGDC
150000000
5000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Donna Marie Bilkovic
Center for Coastal Resources Management, Virginia Institute of Marine Science
P.O. Box 1346
Gloucester Point
Virginia
23062
donnab@vims.edu
US
Donna Marie Bilkovic
Headwater Wetland Vulnerability Index (HWVI)
2017-12-15T00:00:00
Center for Coastal Resources Management (CCRM). 2017. Headwater wetlands vulnerability Index. Virginia Institute of Marine Science, College of William and Mary, Gloucester Point, Virginia.
Center for Coastal Resources Management, Virginia Institute of Marine Science (VIMS)
P.O. Box 1346
Gloucester Point
Virginia
23062
UZ
1375 Greate Road
To identify the relative risk to headwater wetlands systems in the York River Estuary coastal plain from climate and human stressors.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>To identify the relative risk to headwater wetlands systems in the York River Estuary coastal plain from climate and human stressors, we modeled inundation risk with sea level rise, surrounding land cover, and surface water sources within catchments with connected headwater- tidal wetland complexes (termed here as headwater wetlands systems).</SPAN></P></DIV></DIV></DIV>
York River
Virginia
headwater wetlands
vulnerability index
Donna Marie Bilkovic
Center for Coastal Resources Management, Virginia Institute of Marine Science
P.O. Box 1346
Gloucester Point
Virginia
23062
donnab@vims.edu
US
For an overview of this project open the "Development of strategies to improve conservation of Virginia's headwater wetland ecosystem in the face of climate change: Headwater Wetlands Vulnerability Index" pdf located https://cmap2.vims.edu/WetCAT/metadata/HWVI_metadata.pdf
Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS)
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
1
-76.845172
-76.402994
37.573876
37.190076
HWVI_wm
Feature Class
37
OBJECTID_1
OBJECTID_1
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
OBJECTID
OBJECTID
Integer
4
0
0
sysID
sysID
Integer
4
0
0
location
location
String
50
0
0
Location of vulnerability analysis - York River Estuary, Virginia
Shape_Leng
Shape_Leng
Double
8
0
0
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
area_km2
area_km2
Double
8
0
0
Area of catchment in square kilometers
Catchments
Catchments
Integer
4
0
0
Catchment number (1 to 37). Catchments contain connected headwater- tidal wetland complexes (termed here as headwater wetlands systems) that follow flow paths from the headwaters to the tidal waters.
Headwater
Headwater
Double
8
0
0
Headwater wetland area in a given catchment in square km
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
HWVI_Level
HWVI_Level
String
254
0
0
HWVI_Level (low, moderate, or high vulnerability). Three values are mathamatically possible with the 3 measure composite index (0.58, 1.29, 2.89) and these were assigned Low, moderate, and high levels accordingly.
CatchmentArea
CatchmentArea
Integer
4
0
0
Catchment area in square kilometers
processor
NontidalArea
NontidalWetlandArea
Double
8
0
0
Nontidal wetland area in a given catchment in square km
processor
TidalWtlndArea
TidalWetlandArea
Double
8
0
0
Tidal wetland area in a given catchment in square km
processor
TotalWtlndArea
TotalWetlandArea
Double
8
0
0
Total wetland area in a given catchment in square km
processor
PcntHW
PercentHeadwaterWetlands
Double
8
0
0
Percent of wetlands that are headwater wetlands in a given catchment
processor
PHWInundate
PercentHeadwater2100Inundated
Double
8
0
0
Percent of Headwater wetlands that are projected to be inundated by 2100 from sea level rise
processor
PHWPerennial
PercentHeadwaterNoPerennialStream
Double
8
0
0
Percentage of Headwater wetlands without a Perennial stream source of surface water
processor
FutureThrt
FutureThreat
Double
8
0
0
Future Threat of wetlands conversion is represented by the percentage of Agriculatural land use within 1km because agricultural lands are at risk of conversion to developed lands (residential)
processor
HWVI_hdwtr
HeadwaterWetlandVulnIndex
Double
8
0
0
HWVI-headwater wetlands vulnerability index. Index combines three measures of relative vulnerability for the York River Estuary - inundation risk (percentage of headwater wetlands that will be inundated by 2100 in the catchment), Climate change sensitivity (Percentage of headwater wetlands without a perennial stream source), Future land conversion risk (percentage of Ag land use within 1km). The Headwater wetland vulnerability index (HWVI) was developed to integrate information on relative risks from varied stressors into a composite index following Pendleton et al. (2004). TThis index combined individual risk measures that were scaled as either low (1) or high (5) risk using the median value of the data distribution as a threshold, and then computed as the square root of the product of the ranked variables divided by the total number of variables.
processor
File Geodatabase Feature Class
dataset
EPSG
8.8(9.3.1.2)
37
Simple
FALSE
37
TRUE
FALSE
20220103