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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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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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Gulf Coast Prairie LCC Broadly Defined Habitats created from the LANDFIRE Ecological Site Potential data.
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Percent Cultivated derived from the Cropland Data Layer Dataset by HUC 12
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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 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 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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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).
What are current conditions for important park natural resources? What are the critical data and knowledge gaps? What are some of the factors that are influencing park resource conditions? Natural Resource Condition Assessments (NRCAs) evaluate and report on the above for a subset of important natural resources in national park units (hereafter, parks). Focal study resources and indicators are selected on a park-by-park basis, guided by use of structured resource assessment and reporting frameworks. Considerations include park resource setting and enabling legislation (what are this park's most important natural resources?) and presently available data and expertise (what can be evaluated at this time?). In addition...
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape. This map shows the percentage of participants from each county and municipality who ranked Salt Cedar (Tamarix spp) as a top 3 ecosystem stressor in the Riparian Invasive Plant category in their region. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each...
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The seven input models used to estimate the total influence of the human footprint. These models either explored how anthropogenic features influence wildlife populations via changes in habitat (road-induced dispersal of invasive plants, oil and gas developments, human induced fires, and anthropogenic habitat fragmentation) or predators densities (spatial distribution of domestic and synanthropic avian predators). The human footprint map is a composite of these seven models.
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This web map contains the ESRI ArcGIS Online World Topographic Map service, (aka "the community basemap"). The World Topographic Map service is designed to be used as a basemap by GIS professionals and as a reference map by anyone. The service includes administrative boundaries, cities, water features, physiographic features, parks, landmarks, highways, roads, railways, airports, and buildings overlaid on land cover and s
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This time-enabled map service depicts the infestation of the mountain pine beetle within Banff, Kootenay and Yoho National Parks between 1999 and 2007. It also contains reference boundaries for the parks, areas susceptible to the mountain pine beetle and areas of lodgepole pine.


map background search result map search result map GAP Analysis Peregrine Falcon (NW) GAP Analysis Greater Sage Grouse Planning Cadastre Topographic World Map Mountain Pine Beetle Human Footprint in the West Input Model Prioritization of Currently Suitable Brood Rearing Habitat for Mottled Ducks in the Western Gulf Coast SLAMM in the Gulf of Mexico Initial Condition 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 Natural Resource Condition Assessments GCP LCC Broadly Defined Habitats (LANDFIRE Ecological Site Potential) GCP LCC Percent Cultivated Area by HUC 12 (CDL 13) - DRAFT Rivers Sea-Level Affecting Marshes Model 0.5m SLR - 2075 Sea-Level Affecting Marshes Model 2.0m SLR - base year Riparian - Invasive and Problematic (Native and non-native) Plants - Salt Cedar (Tamarix ramosissima) Mountain Pine Beetle Prioritization of Currently Suitable Brood Rearing Habitat for Mottled Ducks in the Western Gulf Coast Planning Cadastre Wave Height Data for the Gulf of Mexico Riparian - Invasive and Problematic (Native and non-native) Plants - Salt Cedar (Tamarix ramosissima) 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 Rivers GCP LCC Percent Cultivated Area by HUC 12 (CDL 13) - DRAFT Sea-Level Affecting Marshes Model 2.0m SLR - base year Sea-Level Affecting Marshes Model 0.5m SLR - 2075 GAP Analysis Peregrine Falcon (NW) GCP LCC Broadly Defined Habitats (LANDFIRE Ecological Site Potential) GAP Analysis Greater Sage Grouse Human Footprint in the West Input Model Natural Resource Condition Assessments Topographic World Map