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Final_VaWetlandVulnerabilityAssessment_UpdatedDec2021_wm
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20211231
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FGDC
FGDC CSDGM Metadata
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
Spatially-explicit Vulnerability Assessment model for VA Coastal Wetlands (2050, 2100)
vector digital data
2019-09-23T00:00:00
2021-11-17T00:00:00
CCRM [Center for Coastal Resources Management] Tidal Marsh Vulnerability Assessment (2019), Comprehensive Coastal Inventory Program, Virginia Institute of Marine Science, College of William and Mary, Gloucester Point, Virginia 23062
Center for Coastal Resources Management] (CCRM)
Virginia Institute of Marine Science
Gloucester Point
Virginia
23062
US
Tidal Marsh Vulnerability Assessment (2019)
1
-77.465797
-75.248874
38.893836
36.550169
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This project assess the vulnerability of tidal marshes to climate change for the time periods 2050 and 2100 throughout Virginia. The vulnerability scores given to the marshes combine exposure, habitat potential for sentinal species, sensitivity and adaptive capacity of wetland habitats within tidally-connected wetland complexes. </SPAN></P></DIV></DIV></DIV>
Virginia
Chesapeake Bay
tidal marsh
Virginia, Chesapeake Bay
Tidal marsh, vulnerability assessment
This project assess the vulnerability of tidal marshes to climate change for the time periods 2050 and 2100 throughout Virginia.
Molly Mitchell
Center for Coastal Resources Management, Virginia Institute of Marine Science
1375 Greate Road, P.O.Box 1346
Glouester Point
Virginia
23062
molly@vims.edu
(804_ 684-7931
Center for Coastal Resources Management, Virginia Institute of Marine Science
File Geodatabase Feature Class
dataset
EPSG
8.8(9.3.1.2)
46277
Simple
FALSE
46277
TRUE
FALSE
Final_VaWetlandVulnerabilityAssessment_UpdatedDec2021_wm
Feature Class
46277
Tidal marsh vulnerability assessment scores
processor
OBJECTID
OBJECTID
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.
COUNTY
COUNTY
String
50
0
0
county or city name
processor
PubYear
PubYear
String
50
0
0
Publication year for the county tidal marsh inventory
processor
salinity
salinity
String
10
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
ErosionVuln
Erosion Vulnerability
SmallInteger
2
0
0
This layer categorizes tidal marshes based on their vulnerability to wind-driven wave energy. Higher wave energy is typically associated with a greater risk of erosion of the marsh, which leads to loss of the leading edge of the marsh. Eventually, it can cause the complete loss of a marsh.
principal investigator
0
not vulnerable
principal investigator
1
vulnerable (high and moderate energy categories from the SMM were coded as vulnerable)
principal investigator
Marsh2050
2050 Marsh change extent
SmallInteger
2
0
0
This layer categorizes tidal marshes based on their vulnerability to sea level rise driven change in areal extent. Marsh migration can result in an increased areal extent in flat elevation areas or a decrease in areal extent in steep elevation areas. An elevation-based marsh migration model was used, estimating a 2ft increase in sea level rise by 2050. Marsh change between 2010 and 2050 was calculated for each 12-digit HUC unit.
principal investigator
0
not vulnerable (no marsh loss or marsh gain between times)
principal investigator
1
moderately vulnerable (marsh loss, but less than < 1km2 total loss in the HUC unit)
principal investigator
2
vulnerable (marsh loss > 1km2 total loss in the HUC unit)
principal investigator
Marsh2100
2100 Marsh change extent
SmallInteger
2
0
0
This layer categorizes tidal marshes based on their vulnerability to sea level rise driven change in areal extent. Marsh migration can result in an increased areal extent in flat elevation areas or a decrease in areal extent in steep elevation areas. An elevation-based marsh migration model was used, estimating a 6ft increase in sea level rise by 2100. Marsh change between 2010 and 2100 was calculated for each 12-digit HUC unit.
principal investigator
0
not vulnerable (no marsh loss or marsh gain between times)
principal investigator
1
moderately vulnerable (marsh loss, but less than < 1km2 total loss in the HUC unit)
principal investigator
2
vulnerable (marsh loss > 1km2 total loss in the HUC unit)
principal investigator
SalinVuln
Salinization Vulnerability
SmallInteger
2
0
0
This layer categorizes tidal marshes based on their vulnerability to change in marsh plant communities and/or shifts in carbon sequestration due to salinization. Only freshwater and oligohaline marshes that are adjacent to brackish waters are vulnerable to salinization. Brackish and salt marshes have little response to increased salinity.
principal investigator
0
not vulnerable (marshes in brackish/salt HUCs and tidal freshwater and freshwater HUCS not adjacent to oligohaline HUCs)
principal investigator
1
vulnerable (marshes in oligohaline, tidal freshwater and freshwater HUCs adjacent to oligohaline or higher salinity HUC. Note: this should capture non-tidal adjacent to tidal waters)
principal investigator
Combnd2050
Combined 2050 vulnerability score
SmallInteger
2
0
0
This layer creates a combined vulnerability score for tidal marshes in 2050 based on their vulnerability to erosion, salinization, loss of areal extent during migration and change in potential areas of high marsh habitat. (Erosion vulnerability + 2050 Marsh change extent + Salinization vulnerability + Habitat Potential)
principal investigator
0
not vulnerable (all vulnerability scores are zero)
principal investigator
1, 2
slightly vulnerable (marsh is vulnerable in only one or two categories)
principal investigator
3, 4
somewhat vulnerable (marsh is vulnerable in more than two categories or “vulnerable” to changes in extent)
principal investigator
5
moderately vulnerable (marsh is vulnerable in three or more categories)
principal investigator
6
highly vulnerable (marsh is vulnerable in multiple categories and “vulnerable” to changes in extent)
principal investigator
Combnd2100
Combined 2100 vulnerability score
SmallInteger
2
0
0
This layer creates a combined vulnerability score for tidal marshes in 2100 based on their vulnerability to erosion, salinizationloss of areal extent during migration and change in potential areas of high marsh habitat. (Erosion vulnerability + 2100 Marsh change extent + Salinization vulnerability + Habitat Potential)
principal investigator
0
not vulnerable (all vulnerability scores are zero)
principal investigator
1, 2
slightly vulnerable (marsh is vulnerable in only oneor two categories)
principal investigator
3, 4
somewhat vulnerable (marsh is vulnerable in more than two categories or “vulnerable” to changes in extent)
principal investigator
5
moderately vulnerable (marsh is vulnerable in three or more categories)
principal investigator
6
highly vulnerable (marsh is vulnerable in multiple categories and “vulnerable” to changes in extent)
principal investigator
HabPot2050
2050 Habitat Potential
Integer
4
0
0
Score for availability of high marsh habitat in 2050 based on the overall change in high marsh habitat between current day (2021) and 2050.
principal investigator
0
Not Vulnerable (marsh gain or no loss between time steps within HUC)
principal investigator
1
Moderate Vulnerability (marsh loss between 0 and 0.25km2 within HUC)
principal investigator
2
High Vulnerability (marsh loss greater than 0.25 km2 within HUC)
principal investigator
HabPot2100
2100 Habitat Potential
Integer
4
0
0
Score for availability of high marsh habitat in 2100 based on the overall change in high marsh habitat between current day (2021) and 2100.
principal investigator
0
Not Vulnerable (marsh gain or no loss between time steps within HUC)
principal investigator
1
Moderate Vulnerability (marsh loss between 0 and 0.25km2 within HUC)
principal investigator
2
High Vulnerability (marsh loss greater than 0.25 km2 within HUC)
principal investigator
C2050Class
Combined 2050 vulnerability classification
String
50
0
0
Numeric vulnerability score classified as text. See Combnd2050 attribute description.
processor
C2100Class
Combined 2100 vulnerability classification
String
50
0
0
Numeric vulnerability score classified as text. See Combnd2100 attribute description.
processor
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Tami Rudnicky
Comprehensive Coastal Inventory Program, Virginia Institute of Marine Science (VIMS))
1375 Greate Road, P.O.Box 1346
Gloucester Point
Virginia
23062
US
(804) 684-7181
The Tidal Marsh Inventory is produced by the Comprehensive Coastal Inventory, Center for Coastal Resources Management at the Virginia Institute of Marine Science, Gloucester Point, Virginia.
Virginia Tidal Marsh Inventory (2010-2018)
2019-02-11T00:00:00
Marsh boundaries are digitized from high resolution aerial imagery. Field collection of marsh data is primarily performed from a small shallow-draft vessel, navigating at slow speeds parallel to the shoreline. Data has been collected during the summer since 2009.
https://www.vims.edu/ccrm/research/inventory/virginia/index.php
Fetch data is an unpublished data source created by the Comprehensive Coastal Inventory, Center for Coastal Resources Management at the Virginia Institute of Marine Science, Gloucester Point, Virginia. This dataset provides information on shoreline exposure to potential wave energy via a distance model that measures distance to nearest shoreline along compass rose. Measurements are taken at 25 meter increments along the shoreline.
Virginia Shoreline Fetch
Center for Coastal Resources Management] (CCRM)
Virginia Institute of Marine Science
Gloucester Point
Virginia
23062
US
Center for Coastal Resources Management] (CCRM)
Fetch uses the shoreline developed for the shoreline inventory. Shoreline is digitized using the most recent VBMP high resolution imagery available at the time of the inventory.
2007-01-01T00:00:00
2017-05-01T00:00:00
12-digit HUC salinity categories from the Chesapeake Bay Program
To determine Erosion Vulnerability, fetch categories were combined with the Virginia Tidal Marsh Inventory data.
MMOL (marsh migration over land) 2010 and 2050 projected marsh areas were coded to 12-digit HUC units. The difference in total shape area between the two layers was calculated and results were combined with the Virginia Tidal Marsh Inventory to code the vulnerability of each marsh polygon.
12-digit HUC salinity categories from the Chesapeake Bay Program were combined with Virginia Tidal marsh Inventory to determine Salinization vulnerability.
Areas of potential high marsh habitat critical for birds and other Bay species were projected for time steps 2050 and 2100. Changes in habitat area across the time periods and for each coastal HUC were calculated and scored.
2021-11-17T00:00:00