EcoService Models Library (ESML)
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EM: InVEST Coastal Vulnerability (EM-849)
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EM Identity and Description
EM Identification
EM ID
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EM-849 |
EM Short Name
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InVEST Coastal Vulnerability |
EM Full Name
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InVEST Coastal Vulnerability |
EM Source or Collection
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InVEST |
EM Source Document ID
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408 |
Document Author
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The Natural Capital Project.org |
Document Year
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None |
Document Title
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InVEST Coastal Vulnerability |
Document Status
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Peer reviewed and published |
Comments on Status
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Website users guide |
Software and Access
https://naturalcapitalproject.stanford.edu/software/invest | |
Contact Name
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Not applicable |
Contact Address
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Not applicable |
Contact Email
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Not applicable |
EM Description
Summary Description
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Faced with an intensification of human activities and a changing climate, coastal communities need to better understand how modifications of the biological and physical environment (i.e. direct and indirect removal of natural habitats for coastal development) can affect their exposure to storm-induced erosion and flooding (inundation). The InVEST Coastal Vulnerability model produces a qualitative estimate of such exposure in terms of a vulnerability index, which differentiates areas with relatively high or low exposure to erosion and inundation during storms. By coupling these results with global population information, the model can show areas along a given coastline where humans are most vulnerable to storm waves and surge. The model does not take into account coastal processes that are unique to a region, nor does it predict long- or short-term changes in shoreline position or configuration. Model inputs, which serve as proxies for various complex shoreline processes that influence exposure to erosion and inundation, include: a polyline with attributes about local coastal geomorphology along the shoreline, polygons representing the location of natural habitats (e.g., seagrass, kelp, wetlands, etc.), rates of (observed) net sea-level change, a depth contour that can be used as an indicator for surge level (the default contour is the edge of the continental shelf), a digital elevation model (DEM) representing the topography of the coastal area, a point shapefile containing values of observed storm wind speed and wave power, and a raster representing population distribution. Outputs can be used to better understand the relative contributions of these different model variables to coastal exposure and highlight the protective services offered by natural habitats to coastal populations. This information can help coastal managers, planners, landowners and other stakeholders identify regions of greater risk to coastal hazards, which can in turn better inform development strategies and permitting. The results provide a qualitative representation of coastal hazard risks rather than quantifying shoreline retreat or inundation limits. |
Specific Policy or Decision Context Cited
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None identified |
Biophysical Context
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Not applicable |
EM Scenario Drivers
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Options for future sea level change and population change |
EM Relationship to Other EMs or Applications
Method Only, Application of Method or Model Run
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Method Only |
New or Pre-existing EM?
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New or revised model |
Related EMs (for example, other versions or derivations of this EM) described in ESML
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Document ID for related EM
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Doc-410 |
EM ID for related EM
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EM-851 |
EM Modeling Approach
EM Relationship to Time
EM Temporal Extent
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Not applicable |
EM Time Dependence
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time-stationary |
EM Time Reference (Future/Past)
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Not applicable |
EM Time Continuity
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Not applicable |
EM Temporal Grain Size Value
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Not applicable |
EM Temporal Grain Size Unit
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Not applicable |
EM Spatial Extent
Bounding Type
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Not applicable |
Spatial Extent Name
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Not applicable |
Spatial Extent Area (Magnitude)
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Not applicable |
Spatial Distribution of Computations
EM Spatial Distribution
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spatially distributed (in at least some cases) |
Spatial Grain Type
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area, for pixel or radial feature |
Spatial Grain Size
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user defined |
EM Structure and Computation Approach
EM Computational Approach
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Analytic |
EM Determinism
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deterministic |
Statistical Estimation of EM
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Model Checking Procedures Used
Model Calibration Reported?
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Not applicable |
Model Goodness of Fit Reported?
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Not applicable |
Goodness of Fit (metric| value | unit)
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None |
Model Operational Validation Reported?
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Not applicable |
Model Uncertainty Analysis Reported?
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Not applicable |
Model Sensitivity Analysis Reported?
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Not applicable |
Model Sensitivity Analysis Include Interactions?
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Not applicable |
EM Locations, Environments, Ecology
Location of EM Application
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
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None |
Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
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None |
Centroid Lat/Long (Decimal Degree)
Centroid Latitude
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Not applicable |
Centroid Longitude
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Not applicable |
Centroid Datum
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Not applicable |
Centroid Coordinates Status
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Not applicable |
Environments and Scales Modeled
EM Environmental Sub-Class
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Near Coastal Marine and Estuarine | Terrestrial Environment (sub-classes not fully specified) |
Specific Environment Type
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Coastal environments |
EM Ecological Scale
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Ecological scale is finer than that of the Environmental Sub-class |
Scale and taxa of organisms modeled
Scale of differentiation of organisms modeled
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EM Organismal Scale
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Not applicable |
Taxonomic level and name of organisms or groups identified
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None Available |
EnviroAtlas URL
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National Hydrography Dataset Plus (NHD PlusV2), Average Annual Precipitation |
EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system
CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)
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(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
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None |
EM Variable Names (and Units)
Predictor
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Intermediate
Response
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Observed Response Variables (and Units)
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None |
Computed Response Variables (and Units)
view details (4 variables)
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