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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.
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This is a continuous raster dataset identifying wetlands that are currently suitable for mottled duck brood-rearing activities in the Western Gulf Coast. The identification process is based on key biological parameters such as wetland type, number of years inundated, distance to brood nesting habitat, etc. Additionally, this raster dataset presents the data in a form that prioritizes habitat from more suitable to less suitable based on landscape metrics. The scale ranges from 9.9999 to .000005, higher value designating higher suitability ranking.
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The Comprehensive Habitat Type Dataset was developed by merging NOAA Benthic Habitat Atlas (BHA), Ecological Mapping Systems of Texas (aka Texas Ecological Systems Database, TESD), and National Wetlands Inventory (NWI) data within the study area for the ICF 2012 project (CGP LCC 2012-002 Employing the Conservation Design Approach on Sea-Level Rise Impacts on Coastal Avian Habitats along the Central Texas Coast). BHA data was used to depict mangroves, oysters, and patchy, continuous, and discontinuous seagrass beds where BHA existed within the study area. NWI data was used for all wetland/intertidal environments where NWI data existed within the study area. TESD data was used for all upland environments, and weltand/intertidal...
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Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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Changes in tidal marsh area and habitat type in response to sea-level rise were modeled using the Sea Level Affecting Marshes Model (SLAMM 6) that accounts for the dominant processes involved in wetland conversion and shoreline modifications during long-term sea level rise (Park et al. 1989; Successive versions of the model have been used to estimate the impacts of sea level rise on the coasts of the U.S. The model was produced by Warren Pinnacle Consulting, Inc. for the U.S. Fish and Wildlife Service. The SLAMM version 6 technical document can be accessed at http://warrenpinacle.com/prof/SLAMM. SLAMM outputs were converted from raster to vector features. Land cover (wetland) types were generalized to MesoHabitat...
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Sea Level Rise Affecting Marshes Model (SLAMM) initial condition for the Northern Gulf of Mexico. This dataset is a mosaic of initial condition datasets from SLAMM models run across the gulf of mexico.
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The Comprehensive Habitat Type Dataset was developed by merging NOAA Benthic Habitat Atlas (BHA), Ecological Mapping Systems of Texas (aka Texas Ecological Systems Database, TESD), and National Wetlands Inventory (NWI) data within the study area for the ICF 2012 project (CGP LCC 2012-002 Employing the Conservation Design Approach on Sea-Level Rise Impacts on Coastal Avian Habitats along the Central Texas Coast). BHA data was used to depict mangroves, oysters, and patchy, continuous, and discontinuous seagrass beds where BHA existed within the study area. NWI data was used for all wetland/intertidal environments where NWI data existed within the study area. TESD data was used for all upland environments, and weltand/intertidal...
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Defining the pre-European range of vegetation communities can enhance our understanding of the role soil, hydrology, and climate had on climax plant communities within southwest Louisiana. Coastal prairie grasslands were in a perpetual state of succession due to two primary disturbances; grazing, primarily by bison and other ungulates, and fires ignited by lightning and Native Americans. Along its borders, prairie vegetation blended into adjacent plant communities forming biologically diverse ecotones that may have fluctuated between a prairie, marsh, or forest dominated community as a result of variable conditions including climate cycles, disturbance and soil characteristics. Since European settlement, this landscape...
SECAS data for CPA
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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This is a continuous raster dataset identifying wetland basins/rice fields that are priority for freshwater enhancement to increase the quantity and/or quality of mottled duck brood rearing wetlandsin the Western Gulf Coast. The identification process is based on key biological parameters such as patch size, land use type, distance to brood rearing habitat, etc. Additionally, this raster datasets presents the data in a form that prioritizes habitat from more suitable to less suitable based on landscape metrics. The scale ranges from 1.99to .02, higher value designating higher priority for enhancement.
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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Southeast Blueprint v3.0 This is an older version of the Southeast Blueprint. The Southeast Conservation Blueprint is a map of important areas for conservation and restoration across the Southeast and Caribbean. The Blueprint is the primary product of the Southeast Conservation Adaptation Strategy (SECAS). Through SECAS, diverse partners are working together to design and achieve a connected network of lands and waters that supports thriving fish and wildlife populations and improved quality of life for people across the southeastern United States and the Caribbean. Extent of Southeast Blueprint v3.0 The Southeast Blueprint covers the entire SECAS geography with the exception of the U.S. Virgin Islands, where the...
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Changes in tidal marsh area and habitat type in response to sea-level rise were modeled using the Sea Level Affecting Marshes Model (SLAMM 6) that accounts for the dominant processes involved in wetland conversion and shoreline modifications during long-term sea level rise (Park et al. 1989; Successive versions of the model have been used to estimate the impacts of sea level rise on the coasts of the U.S. The model was produced by Warren Pinnacle Consulting, Inc. for the U.S. Fish and Wildlife Service. The SLAMM version 6 technical document can be accessed at http://warrenpinacle.com/prof/SLAMM. SLAMM outputs were converted from raster to vector features. Land cover (wetland) types were generalized to MesoHabitat...
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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County- wide DEMs at 5m resolution were provided by TNRIS and mosaicked clipped to the study area. This DEM was then used to develop 1- and 2- meter contours to assist in evaluating potential sea level rise scenarios in areas not covered by the SLAMM model run. A low-pass filter was first applied to the DEM to remove any major outliers within the elevation raster. The DEM was then reclassified according to elevation, separating the DEM into 4 classes: minimum elevation up to 0 m, between 0 m and 1m, between 1 m and 2m, and above 2 m. This reclassified raster was then converted to a polygon feature class. Polygons representing 0-1 m and 1 – 2 m were then exported separately, and these were used as 1 and 2 meter elevation...
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The Missouri Resource Assessment Partnership (MoRAP) of the University of Missouri, in conjunction with the Oklahoma Biological Survey of the University of Oklahoma, produced a vegetation and landcover GIS data layer for the eastern portions of Oklahoma. This effort was accomplished with direction and funding from the Oklahoma Department of Wildlife Conservation and state and federal partners (particularly the Gulf Coast Prairie and Great Plains Landscape Conservation Cooperatives of the U. S. Fish and Wildlife Service). The legend for the layer is based on NatureServe’s Ecological System Classification, with finer thematic units derived from land cover and abiotic modifiers of the System unit. Data for development...


map background search result map search result map 0 - 1m Elevation Contour for the Central Texas Coast Prioritization of Currently Suitable Brood Rearing Habitat for Mottled Ducks in the Western Gulf Coast SLAMM in the Gulf of Mexico Initial Condition Prioritization of Wetland Basins for Freshwater Enhancement for Mottled Ducks in the Western Gulf Coast Average and Change Rainfall Anomaly for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Wave Height Data for the Gulf of Mexico Potential Habitat Use for the Long-billed Curlew in the Central Texas Coast Potential Habitat Use for the Piping Plover in the Central Texas Coast Seaside Sparrow- Potential Habitat Under Sea Level Affecting Marshes Model (SLAMM) Conditions Black Rail- Potential Habitat Under Sea Level Affecting Marshes Model (SLAMM) Conditions Oklahoma Ecological System Mapping Sea-Level Affecting Marshes Model 0.5m SLR - 2075 Sea-Level Affecting Marshes Model 1.2m SLR - 2025 Sea-Level Affecting Marshes Model 1.5m SLR - 2050 Sea-Level Affecting Marshes Model 2.0m SLR - base year Sea-Level Affecting Marshes Model 2.0m SLR - 2075 Soil, Geomorphology and Pre-European Settlement Vegetation Associations of Southwest Louisiana SECAS Southeast Blueprint v3.0 0 - 1m Elevation Contour for the Central Texas Coast Potential Habitat Use for the Long-billed Curlew in the Central Texas Coast Potential Habitat Use for the Piping Plover in the Central Texas Coast Black Rail- Potential Habitat Under Sea Level Affecting Marshes Model (SLAMM) Conditions Seaside Sparrow- Potential Habitat Under Sea Level Affecting Marshes Model (SLAMM) Conditions Soil, Geomorphology and Pre-European Settlement Vegetation Associations of Southwest Louisiana Oklahoma Ecological System Mapping Prioritization of Currently Suitable Brood Rearing Habitat for Mottled Ducks in the Western Gulf Coast Prioritization of Wetland Basins for Freshwater Enhancement for Mottled Ducks in the Western Gulf Coast Wave Height Data for the Gulf of Mexico Average and Change Rainfall Anomaly for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico SLAMM in the Gulf of Mexico Initial Condition Sea-Level Affecting Marshes Model 1.2m SLR - 2025 Sea-Level Affecting Marshes Model 1.5m SLR - 2050 Sea-Level Affecting Marshes Model 2.0m SLR - base year Sea-Level Affecting Marshes Model 2.0m SLR - 2075 Sea-Level Affecting Marshes Model 0.5m SLR - 2075 Southeast Blueprint v3.0