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EM Identity and Description
| EM-857 | |
|
Document Author
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Warren Pinnacle Consulting, Inc. |
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Document Year
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2016 |
Variable General Info
Aboveground carbon mass sequestered ?Comment:Intermediate parameter of the Carbon Sequestration module. The above ground carbon mass sequestered is a function of the landscape category dependent, above ground biomass at each time interval. Carbon sequestration calculations will be performed for all time-steps and output steps for all simulations performed and all modeled subsites. |
Carbon dioxide mass sequestered ?Comment:Carbon dioxide mass sequestered is a function of the Above ground carbon mass sequestered and the Soil carbon storage rate, and using the ratio of the molecular weight of CO2 to C (44/12). |
Erosion ?Comment:Intermediate optional parameter computed out of either of the two alternate Erosion modules. Erosion can be computed using Landscape category constant values; or relating site specific Wave power to erosion using the Wave erosion alpha constant. |
Inundation ?Comment:Shows lands that are flooded by sea level rise and by storms every 30, 60, and 90 days (or not flooded at all). Erosion and dike parameters also affect outcomes. |
Salinity ?Comment:The SLAMM salinity model estimates a spatial map of salinity under conditions of low tide, mean tide, high tide, and flood tide (water at “salt elevation”). Considerations of salinity may be required when modeling marsh fate as marsh-type is often more highly correlated to water salinity than elevation when fresh-water flow is significant (Higinbotham et. al, 2004). Predicted salinity may also have effects on accretion rates. The SLAMM model attempts to predict mean salinities without the requirement for input-data-intensive and computationally-intensive three dimensional hydrodynamic models. In the near future, a capability to link the SLAMM model to spatial model output from more complex salinity models will be released as part of SLAMM 6. The existing SLAMM model remains fairly experimental and simple in nature, though it has successfully been calibrated to salinity data in Georgia and Washington State. The SLAMM salinity model assumes a salt wedge setup within an estuary. Water heights are estimated as a function of tide range, mean tide level, fresh water flow, and calculated fresh water retention time. The depth of the salt wedge is estimated as a function of river mile, the slope of the salt wedge, and the tide level, and sea level rise. After an initial condition has been successfully captured, the model may be run with an increased sea level to predict the salinity changes under this condition. The model has been calibrated to effectively capture salinity variations under existing conditions but validation of model predictions under conditions of SLR has not yet been undertaken. |
Vertical accretion rate ?Comment:Product of the optional Accretion module. Within the SLAMM model, “accretion” is used as a catch-all phrase to represent marsh-elevation change under different rates of sea-level rise, including shallow subsidence. Four separate accretion-feedback models are available for “regularly-flooded marsh,” “irregularly-flooded marsh,” “tidal flats,” and “tidal-fresh marsh” categories. Vertical movement of other habitats (Inland-Fresh Marsh, Mangrove, Swamps, and Beaches) are modeled as constants (“elevation gain in mm/year”) though with a minor source-code modification a feedback model as shown above can be (and has been) used for these categories when adequate data or models are available. A more sophisticated approach can be to first model accretion by calibrating a mechanistic accretion model such as the Marsh Equilibrium Model (MEM) (Morris et al. 2002). A mechanistic model can be calibrated using available physical and biological data affecting accretion (e.g. tide ranges, suspended sediment concentrations, concentration density of standing biomass, organic matter decay rates, belowground biomass, and observed accretion rates). Once the model calibration is established, results can be translated into polynomial curves that are a function of marsh elevation, and these curves can be entered into SLAMM. |
Water table ?Comment:Estimated water table at the current dry land cell (m). Product of the optional Soil saturation module. |
Wave power ?Comment:Intermediate parameter of the optional, alternate erosion module. |
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Variable ID
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20424 | 20425 | 20430 | 20432 | 20437 | 20436 | 20435 | 20429 |
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M^ag sub |
M sub |
R | Not reported | Not reported | Not reported | Not reported |
P sub |
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Qualitative-Quantitative
variable.detail.continuousCategoricalHelp
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Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Qualitative (Class, Rating or Ranking) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) |
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Cardinal-Ordinal
variable.detail.cardinalOrdinalHelp
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Cardinal | Cardinal | Cardinal | Non-Ordinal | Cardinal | Cardinal | Cardinal | Cardinal |
| metric tons ha^-1 | metric tons ha^-1 yr^-1 | m | Not applicable | ppt | mm yr^-1 | m | unitless |
Variable Typology
Aboveground carbon mass sequestered ?Comment:Intermediate parameter of the Carbon Sequestration module. The above ground carbon mass sequestered is a function of the landscape category dependent, above ground biomass at each time interval. Carbon sequestration calculations will be performed for all time-steps and output steps for all simulations performed and all modeled subsites. |
Carbon dioxide mass sequestered ?Comment:Carbon dioxide mass sequestered is a function of the Above ground carbon mass sequestered and the Soil carbon storage rate, and using the ratio of the molecular weight of CO2 to C (44/12). |
Erosion ?Comment:Intermediate optional parameter computed out of either of the two alternate Erosion modules. Erosion can be computed using Landscape category constant values; or relating site specific Wave power to erosion using the Wave erosion alpha constant. |
Inundation ?Comment:Shows lands that are flooded by sea level rise and by storms every 30, 60, and 90 days (or not flooded at all). Erosion and dike parameters also affect outcomes. |
Salinity ?Comment:The SLAMM salinity model estimates a spatial map of salinity under conditions of low tide, mean tide, high tide, and flood tide (water at “salt elevation”). Considerations of salinity may be required when modeling marsh fate as marsh-type is often more highly correlated to water salinity than elevation when fresh-water flow is significant (Higinbotham et. al, 2004). Predicted salinity may also have effects on accretion rates. The SLAMM model attempts to predict mean salinities without the requirement for input-data-intensive and computationally-intensive three dimensional hydrodynamic models. In the near future, a capability to link the SLAMM model to spatial model output from more complex salinity models will be released as part of SLAMM 6. The existing SLAMM model remains fairly experimental and simple in nature, though it has successfully been calibrated to salinity data in Georgia and Washington State. The SLAMM salinity model assumes a salt wedge setup within an estuary. Water heights are estimated as a function of tide range, mean tide level, fresh water flow, and calculated fresh water retention time. The depth of the salt wedge is estimated as a function of river mile, the slope of the salt wedge, and the tide level, and sea level rise. After an initial condition has been successfully captured, the model may be run with an increased sea level to predict the salinity changes under this condition. The model has been calibrated to effectively capture salinity variations under existing conditions but validation of model predictions under conditions of SLR has not yet been undertaken. |
Vertical accretion rate ?Comment:Product of the optional Accretion module. Within the SLAMM model, “accretion” is used as a catch-all phrase to represent marsh-elevation change under different rates of sea-level rise, including shallow subsidence. Four separate accretion-feedback models are available for “regularly-flooded marsh,” “irregularly-flooded marsh,” “tidal flats,” and “tidal-fresh marsh” categories. Vertical movement of other habitats (Inland-Fresh Marsh, Mangrove, Swamps, and Beaches) are modeled as constants (“elevation gain in mm/year”) though with a minor source-code modification a feedback model as shown above can be (and has been) used for these categories when adequate data or models are available. A more sophisticated approach can be to first model accretion by calibrating a mechanistic accretion model such as the Marsh Equilibrium Model (MEM) (Morris et al. 2002). A mechanistic model can be calibrated using available physical and biological data affecting accretion (e.g. tide ranges, suspended sediment concentrations, concentration density of standing biomass, organic matter decay rates, belowground biomass, and observed accretion rates). Once the model calibration is established, results can be translated into polynomial curves that are a function of marsh elevation, and these curves can be entered into SLAMM. |
Water table ?Comment:Estimated water table at the current dry land cell (m). Product of the optional Soil saturation module. |
Wave power ?Comment:Intermediate parameter of the optional, alternate erosion module. |
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Predictor-Intermediate-Response
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Intermediate (Computed) Variable |
Intermediate (Computed) Variable |
Intermediate (Computed) Variable |
Intermediate (Computed) Variable |
Intermediate (Computed) Variable |
Intermediate (Computed) Variable |
Intermediate (Computed) Variable |
Intermediate (Computed) Variable |
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Predictor Variable Type
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Response Variable Type
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Data Source/Type
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Variable Classification Hierarchy
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5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
2. Land Surface (or Water Body) Cover, Use, Substrate, or Metric |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
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--Chemical (C, N, P, sediment/particulate) characteristics of ecosystem components |
--Chemical (C, N, P, sediment/particulate) characteristics of ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
--Geographic position, horizontal or vertical |
--Physical/chemical characteristics of nonliving ecosystem components |
--Physical/chemical characteristics of nonliving ecosystem components |
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----Carbon-related characteristics of ecosystem components |
----Carbon-related characteristics of ecosystem components |
----Physical/chemical characteristics of soils, substrates, rocks |
----Physical/chemical characteristics of water |
----Physical/chemical characteristics of water |
----Elevation, altitude, bathymetry |
----Physical/chemical characteristics of water |
----Physical/chemical characteristics of water |
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------Carbon accumulation by terrestrial or aquatic ecosystem components |
------Carbon accumulation by terrestrial or aquatic ecosystem components |
------Soil, slope or land stability or erosiveness |
------Water volume or flow in coastal aquatic systems |
------Water constituents, water quality (excluding water pollutants specified under Category 4) |
------Water volume or flow in aquifers |
------Water volume or flow in coastal aquatic systems |
Variable Spatial Characteristics
Aboveground carbon mass sequestered ?Comment:Intermediate parameter of the Carbon Sequestration module. The above ground carbon mass sequestered is a function of the landscape category dependent, above ground biomass at each time interval. Carbon sequestration calculations will be performed for all time-steps and output steps for all simulations performed and all modeled subsites. |
Carbon dioxide mass sequestered ?Comment:Carbon dioxide mass sequestered is a function of the Above ground carbon mass sequestered and the Soil carbon storage rate, and using the ratio of the molecular weight of CO2 to C (44/12). |
Erosion ?Comment:Intermediate optional parameter computed out of either of the two alternate Erosion modules. Erosion can be computed using Landscape category constant values; or relating site specific Wave power to erosion using the Wave erosion alpha constant. |
Inundation ?Comment:Shows lands that are flooded by sea level rise and by storms every 30, 60, and 90 days (or not flooded at all). Erosion and dike parameters also affect outcomes. |
Salinity ?Comment:The SLAMM salinity model estimates a spatial map of salinity under conditions of low tide, mean tide, high tide, and flood tide (water at “salt elevation”). Considerations of salinity may be required when modeling marsh fate as marsh-type is often more highly correlated to water salinity than elevation when fresh-water flow is significant (Higinbotham et. al, 2004). Predicted salinity may also have effects on accretion rates. The SLAMM model attempts to predict mean salinities without the requirement for input-data-intensive and computationally-intensive three dimensional hydrodynamic models. In the near future, a capability to link the SLAMM model to spatial model output from more complex salinity models will be released as part of SLAMM 6. The existing SLAMM model remains fairly experimental and simple in nature, though it has successfully been calibrated to salinity data in Georgia and Washington State. The SLAMM salinity model assumes a salt wedge setup within an estuary. Water heights are estimated as a function of tide range, mean tide level, fresh water flow, and calculated fresh water retention time. The depth of the salt wedge is estimated as a function of river mile, the slope of the salt wedge, and the tide level, and sea level rise. After an initial condition has been successfully captured, the model may be run with an increased sea level to predict the salinity changes under this condition. The model has been calibrated to effectively capture salinity variations under existing conditions but validation of model predictions under conditions of SLR has not yet been undertaken. |
Vertical accretion rate ?Comment:Product of the optional Accretion module. Within the SLAMM model, “accretion” is used as a catch-all phrase to represent marsh-elevation change under different rates of sea-level rise, including shallow subsidence. Four separate accretion-feedback models are available for “regularly-flooded marsh,” “irregularly-flooded marsh,” “tidal flats,” and “tidal-fresh marsh” categories. Vertical movement of other habitats (Inland-Fresh Marsh, Mangrove, Swamps, and Beaches) are modeled as constants (“elevation gain in mm/year”) though with a minor source-code modification a feedback model as shown above can be (and has been) used for these categories when adequate data or models are available. A more sophisticated approach can be to first model accretion by calibrating a mechanistic accretion model such as the Marsh Equilibrium Model (MEM) (Morris et al. 2002). A mechanistic model can be calibrated using available physical and biological data affecting accretion (e.g. tide ranges, suspended sediment concentrations, concentration density of standing biomass, organic matter decay rates, belowground biomass, and observed accretion rates). Once the model calibration is established, results can be translated into polynomial curves that are a function of marsh elevation, and these curves can be entered into SLAMM. |
Water table ?Comment:Estimated water table at the current dry land cell (m). Product of the optional Soil saturation module. |
Wave power ?Comment:Intermediate parameter of the optional, alternate erosion module. |
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Spatial Extent Area
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Spatially Distributed?
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Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
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Observations Spatially Patterned?
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Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
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Spatial Grain Type
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area, for pixel or radial feature | area, for pixel or radial feature | area, for pixel or radial feature | area, for pixel or radial feature | area, for pixel or radial feature | area, for pixel or radial feature | area, for pixel or radial feature | area, for pixel or radial feature |
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Spatial Grain Size
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user defined | user defined | user defined | user defined | user defined | user defined | user defined | user defined |
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Spatial Density
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
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Carbon Storage by Tree Biomass | Carbon Storage by Tree Biomass | National Hydrography Dataset Plus (NHD PlusV2) | National Hydrography Dataset Plus (NHD PlusV2) |
Variable Temporal Characteristics
Aboveground carbon mass sequestered ?Comment:Intermediate parameter of the Carbon Sequestration module. The above ground carbon mass sequestered is a function of the landscape category dependent, above ground biomass at each time interval. Carbon sequestration calculations will be performed for all time-steps and output steps for all simulations performed and all modeled subsites. |
Carbon dioxide mass sequestered ?Comment:Carbon dioxide mass sequestered is a function of the Above ground carbon mass sequestered and the Soil carbon storage rate, and using the ratio of the molecular weight of CO2 to C (44/12). |
Erosion ?Comment:Intermediate optional parameter computed out of either of the two alternate Erosion modules. Erosion can be computed using Landscape category constant values; or relating site specific Wave power to erosion using the Wave erosion alpha constant. |
Inundation ?Comment:Shows lands that are flooded by sea level rise and by storms every 30, 60, and 90 days (or not flooded at all). Erosion and dike parameters also affect outcomes. |
Salinity ?Comment:The SLAMM salinity model estimates a spatial map of salinity under conditions of low tide, mean tide, high tide, and flood tide (water at “salt elevation”). Considerations of salinity may be required when modeling marsh fate as marsh-type is often more highly correlated to water salinity than elevation when fresh-water flow is significant (Higinbotham et. al, 2004). Predicted salinity may also have effects on accretion rates. The SLAMM model attempts to predict mean salinities without the requirement for input-data-intensive and computationally-intensive three dimensional hydrodynamic models. In the near future, a capability to link the SLAMM model to spatial model output from more complex salinity models will be released as part of SLAMM 6. The existing SLAMM model remains fairly experimental and simple in nature, though it has successfully been calibrated to salinity data in Georgia and Washington State. The SLAMM salinity model assumes a salt wedge setup within an estuary. Water heights are estimated as a function of tide range, mean tide level, fresh water flow, and calculated fresh water retention time. The depth of the salt wedge is estimated as a function of river mile, the slope of the salt wedge, and the tide level, and sea level rise. After an initial condition has been successfully captured, the model may be run with an increased sea level to predict the salinity changes under this condition. The model has been calibrated to effectively capture salinity variations under existing conditions but validation of model predictions under conditions of SLR has not yet been undertaken. |
Vertical accretion rate ?Comment:Product of the optional Accretion module. Within the SLAMM model, “accretion” is used as a catch-all phrase to represent marsh-elevation change under different rates of sea-level rise, including shallow subsidence. Four separate accretion-feedback models are available for “regularly-flooded marsh,” “irregularly-flooded marsh,” “tidal flats,” and “tidal-fresh marsh” categories. Vertical movement of other habitats (Inland-Fresh Marsh, Mangrove, Swamps, and Beaches) are modeled as constants (“elevation gain in mm/year”) though with a minor source-code modification a feedback model as shown above can be (and has been) used for these categories when adequate data or models are available. A more sophisticated approach can be to first model accretion by calibrating a mechanistic accretion model such as the Marsh Equilibrium Model (MEM) (Morris et al. 2002). A mechanistic model can be calibrated using available physical and biological data affecting accretion (e.g. tide ranges, suspended sediment concentrations, concentration density of standing biomass, organic matter decay rates, belowground biomass, and observed accretion rates). Once the model calibration is established, results can be translated into polynomial curves that are a function of marsh elevation, and these curves can be entered into SLAMM. |
Water table ?Comment:Estimated water table at the current dry land cell (m). Product of the optional Soil saturation module. |
Wave power ?Comment:Intermediate parameter of the optional, alternate erosion module. |
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Temporal Extent
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Temporally Distributed?
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Yes | Yes | Yes | Yes | Yes | Yes | No | Yes |
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Regular Temporal Grain?
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Yes | Yes | Yes | Yes | Yes | Yes | Not applicable | Yes |
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Temporal Grain Size Value
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user defined | user defined | user defined | user defined | user defined | user defined | Not applicable | user defined |
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Temporal Grain Size Units
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Year | Year | Year | Year | Year | Year | Not applicable | Year |
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Temporal Density
variable.detail.tempDensityHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Variable Values
Aboveground carbon mass sequestered ?Comment:Intermediate parameter of the Carbon Sequestration module. The above ground carbon mass sequestered is a function of the landscape category dependent, above ground biomass at each time interval. Carbon sequestration calculations will be performed for all time-steps and output steps for all simulations performed and all modeled subsites. |
Carbon dioxide mass sequestered ?Comment:Carbon dioxide mass sequestered is a function of the Above ground carbon mass sequestered and the Soil carbon storage rate, and using the ratio of the molecular weight of CO2 to C (44/12). |
Erosion ?Comment:Intermediate optional parameter computed out of either of the two alternate Erosion modules. Erosion can be computed using Landscape category constant values; or relating site specific Wave power to erosion using the Wave erosion alpha constant. |
Inundation ?Comment:Shows lands that are flooded by sea level rise and by storms every 30, 60, and 90 days (or not flooded at all). Erosion and dike parameters also affect outcomes. |
Salinity ?Comment:The SLAMM salinity model estimates a spatial map of salinity under conditions of low tide, mean tide, high tide, and flood tide (water at “salt elevation”). Considerations of salinity may be required when modeling marsh fate as marsh-type is often more highly correlated to water salinity than elevation when fresh-water flow is significant (Higinbotham et. al, 2004). Predicted salinity may also have effects on accretion rates. The SLAMM model attempts to predict mean salinities without the requirement for input-data-intensive and computationally-intensive three dimensional hydrodynamic models. In the near future, a capability to link the SLAMM model to spatial model output from more complex salinity models will be released as part of SLAMM 6. The existing SLAMM model remains fairly experimental and simple in nature, though it has successfully been calibrated to salinity data in Georgia and Washington State. The SLAMM salinity model assumes a salt wedge setup within an estuary. Water heights are estimated as a function of tide range, mean tide level, fresh water flow, and calculated fresh water retention time. The depth of the salt wedge is estimated as a function of river mile, the slope of the salt wedge, and the tide level, and sea level rise. After an initial condition has been successfully captured, the model may be run with an increased sea level to predict the salinity changes under this condition. The model has been calibrated to effectively capture salinity variations under existing conditions but validation of model predictions under conditions of SLR has not yet been undertaken. |
Vertical accretion rate ?Comment:Product of the optional Accretion module. Within the SLAMM model, “accretion” is used as a catch-all phrase to represent marsh-elevation change under different rates of sea-level rise, including shallow subsidence. Four separate accretion-feedback models are available for “regularly-flooded marsh,” “irregularly-flooded marsh,” “tidal flats,” and “tidal-fresh marsh” categories. Vertical movement of other habitats (Inland-Fresh Marsh, Mangrove, Swamps, and Beaches) are modeled as constants (“elevation gain in mm/year”) though with a minor source-code modification a feedback model as shown above can be (and has been) used for these categories when adequate data or models are available. A more sophisticated approach can be to first model accretion by calibrating a mechanistic accretion model such as the Marsh Equilibrium Model (MEM) (Morris et al. 2002). A mechanistic model can be calibrated using available physical and biological data affecting accretion (e.g. tide ranges, suspended sediment concentrations, concentration density of standing biomass, organic matter decay rates, belowground biomass, and observed accretion rates). Once the model calibration is established, results can be translated into polynomial curves that are a function of marsh elevation, and these curves can be entered into SLAMM. |
Water table ?Comment:Estimated water table at the current dry land cell (m). Product of the optional Soil saturation module. |
Wave power ?Comment:Intermediate parameter of the optional, alternate erosion module. |
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| Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | |
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Min Value
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Max Value
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Other Value Type
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Other Value
variable.detail.otherEstHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Variable Variability and Sensitivity
Aboveground carbon mass sequestered ?Comment:Intermediate parameter of the Carbon Sequestration module. The above ground carbon mass sequestered is a function of the landscape category dependent, above ground biomass at each time interval. Carbon sequestration calculations will be performed for all time-steps and output steps for all simulations performed and all modeled subsites. |
Carbon dioxide mass sequestered ?Comment:Carbon dioxide mass sequestered is a function of the Above ground carbon mass sequestered and the Soil carbon storage rate, and using the ratio of the molecular weight of CO2 to C (44/12). |
Erosion ?Comment:Intermediate optional parameter computed out of either of the two alternate Erosion modules. Erosion can be computed using Landscape category constant values; or relating site specific Wave power to erosion using the Wave erosion alpha constant. |
Inundation ?Comment:Shows lands that are flooded by sea level rise and by storms every 30, 60, and 90 days (or not flooded at all). Erosion and dike parameters also affect outcomes. |
Salinity ?Comment:The SLAMM salinity model estimates a spatial map of salinity under conditions of low tide, mean tide, high tide, and flood tide (water at “salt elevation”). Considerations of salinity may be required when modeling marsh fate as marsh-type is often more highly correlated to water salinity than elevation when fresh-water flow is significant (Higinbotham et. al, 2004). Predicted salinity may also have effects on accretion rates. The SLAMM model attempts to predict mean salinities without the requirement for input-data-intensive and computationally-intensive three dimensional hydrodynamic models. In the near future, a capability to link the SLAMM model to spatial model output from more complex salinity models will be released as part of SLAMM 6. The existing SLAMM model remains fairly experimental and simple in nature, though it has successfully been calibrated to salinity data in Georgia and Washington State. The SLAMM salinity model assumes a salt wedge setup within an estuary. Water heights are estimated as a function of tide range, mean tide level, fresh water flow, and calculated fresh water retention time. The depth of the salt wedge is estimated as a function of river mile, the slope of the salt wedge, and the tide level, and sea level rise. After an initial condition has been successfully captured, the model may be run with an increased sea level to predict the salinity changes under this condition. The model has been calibrated to effectively capture salinity variations under existing conditions but validation of model predictions under conditions of SLR has not yet been undertaken. |
Vertical accretion rate ?Comment:Product of the optional Accretion module. Within the SLAMM model, “accretion” is used as a catch-all phrase to represent marsh-elevation change under different rates of sea-level rise, including shallow subsidence. Four separate accretion-feedback models are available for “regularly-flooded marsh,” “irregularly-flooded marsh,” “tidal flats,” and “tidal-fresh marsh” categories. Vertical movement of other habitats (Inland-Fresh Marsh, Mangrove, Swamps, and Beaches) are modeled as constants (“elevation gain in mm/year”) though with a minor source-code modification a feedback model as shown above can be (and has been) used for these categories when adequate data or models are available. A more sophisticated approach can be to first model accretion by calibrating a mechanistic accretion model such as the Marsh Equilibrium Model (MEM) (Morris et al. 2002). A mechanistic model can be calibrated using available physical and biological data affecting accretion (e.g. tide ranges, suspended sediment concentrations, concentration density of standing biomass, organic matter decay rates, belowground biomass, and observed accretion rates). Once the model calibration is established, results can be translated into polynomial curves that are a function of marsh elevation, and these curves can be entered into SLAMM. |
Water table ?Comment:Estimated water table at the current dry land cell (m). Product of the optional Soil saturation module. |
Wave power ?Comment:Intermediate parameter of the optional, alternate erosion module. |
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Variability Expression Given?
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Variability Metric
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None | None | None | None | None | None | None | None |
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Variability Value
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None | None | None | None | None | None | None | None |
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Variability Units
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None | None | None | None | None | None | None | None |
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Resampling Used?
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Variability Expression Used in Modeling?
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Variable Operational Validation (Response Variables only)
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Variable ID
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Validated?
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Validation Approach (within, between, etc.)
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Validation Quality (Qual/Quant)
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Validation Method (Stat/Deviance)
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Validation Metric
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Validation Value
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Validation Units
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Use of Measured Response Data
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