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GCP LCC Focal Habitats created from the Texas Ecological Systems Map
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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).
This dataset describes Native American Ceded Tribal lands in Washington State. Boundary lines have been digitized from a variety of digital data sources including 1:100,000 streams for boundaries described in treaties as following a stream or river, 1:24k Water Resource Inventory Areas (WRIA), Watershed Administrative Unit (WAU) and Hydrologic Unit Code (HUC) boundaries for boundaries referred to in treaties as 'divide', 'summit' or 'between the waters of', 1:100,000 Major Public Lands (for current reservation areas), 10 meter DEM and 7.5 minute USGS digital Quad maps (to define ridgelines and 'divide' where WRIA, WAU or HUC boundaries don't exist) and NAIP orthophoto imagery (to get a feel for what a questionable...
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This set of 4 rasters shows precipitation as snow (mm) for Western North America under the B1 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America. These data, originally published here, were converted...
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This dataset was developed as part of the research for a Royal Roads University master's thesis entitled "Assessing the impact of human activities on British Columbia’s estuaries". The work was also published through PLOS One (Robb, 2014). The estuary polygons were created by the Pacific Estuary Conservation Program (PECP). Please see Ryder et al., 2007 for more information on their creation. This dataset includes a subset of the PECP estuary dataset because only those estuary polygons that could be linked to to a unique watershed were considered in the analysis. The attributes for each estuary polygon show the spatial coverage of different human activities within the bounds of the estuary and its upstream watershed....
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This set of 4 rasters shows winter (Dec to Feb) mean temperature (deg C * 10) for Western North America under the A1B Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America. These data, originally published...
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This layer shows the results for initial analyses of the ' Connectivity' potential Conservation Target for the Freshwater Forested Wetlands Priority Resource (PR). Three datasets were used in this exploration of Connectivity: CLIP 4.0 Greenways, CLIP 4.0 Landscape Integrity, and the Local Connectedness layer, one of the core datasets in the Nature Conservancy's Resiliency Project. Each dataset provides a slightly different aspect of Connectivity. Each one of the potential data layers was masked using the PR raster to result in a spatial data layer of values within Freshwater Forested Wetlands. Further information on these analyses can be found in the Freshwater Forested Wetlands Initial Investigation of Conservation...
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This layer represents the combined Priority Resources of the PFLCC and FWC and the Aggregated Priorities layer of CLIP 4.0. Included the combined layer is the 10 terrestrial Priority Resources (Non-marine) and the 6 Priority Levels (labelled 0 through 5 (lowest (0) to highest Priority (5) and Outside Prioritized Model (l -1) -- for a Total Possible Combinations of 70 (Total actual are 69). Each Priority Resource comprises 6-7 rows in the Attribute Table -- one row for each combination of Priority Resource and CLIP Priority.
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Our objective was to develop a species-distribution model using habitat associations that represent probability of suitable habitat for the species historical range and the range under climate change scenarios including a hot/dry prediction (MIROC3.2) and a cool/wet prediction (ECHAM5) and 1-m and 2-m sea level rise scenarios; urban growth was also inlcuded. Future model predictions were based on extrapolated data for two time steps in the 21st century: mid (2046-2064) and late (2081-2100). Species distributions were modeled with Maxent (Maximum Entropy presence-only algorithm); climate change scenarios were based on precipitation and temperature changes as applied to stream conditions (e.g., flow) modeled with...
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This map represents a potential Conservation Target (CT) for PFLCC's 'Hardwood Forested Uplands' (HFU) Priority Resource (PR). The potential CT is Landscape Configuration. This layer was created for an initial investigation of potential CT's suggested at brainstorming workshops. The initial investigation entails locating available datasets to address the suggested CT as closely as possible and performing minimal analyses to determine their usefulness. The final set of CT's and their associated datasets will be chosen after targets (e.g., endpoints) are established as a threshold for achieving conservation success for that CT. The available data layer to address landscape configuration is CLIP 4.0 core data -- Landscape...
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This data layer represents a potential Conservation Target (CT) for PFLCC's 'Hardwood Forested Uplands' Priority Resource (PR). The potential CT shown here is the protected/managed area. These layers were created for an initial investigation of potential CT's suggested at brainstorming workshops. The initial investigation entails locating available datasets to address the suggested CT as closely as possible and performing minimal analyses to determine their usefulness. The final set of CT's and their associated datasets will be chosen after targets (e.g., endpoints) are established as a threshold for achieving a conservation success for that CT. The data layer available for evaluating the area under management and/or...
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This data layer represents a tested potential Conservation Target (CT) for PFLCC's Priority Resource (PR): Coastal Uplands. The suggested potential CT was Species Richness. Species Richness is one component of biodiversity, an important aspect of landscape conservation. Biodiversity is important for maintaining the balance of natural communities and ecosystems upon which humans also depend. Florida has a high level of species diversity and endemism but the state is experiencing threats to its natural heritage from a variety of sources. The data used in this analysis in addition to the Priority Resource layer is the Species Richness layer from the CLIP 4.0 geodatabase. The core layer of the geodatabase is from the...
map background search result map search result map State Tribal Lands - Current and Historic Precipitation as Snow under the B1 Emissions Scenario (Western North America, 23 AOGCM Ensemble) Winter (Dec to Feb) Mean Temperature under the A1B Emissions Scenario (Western North America, 23 AOGCM Ensemble) GPC LCC Focal Habitats - Texas Ecological Systems Map (TX only) BC Estuary Threats Assessment 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 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 FFW Connectivity HFU Configuration HFU Protected Area CU Species Richness Priority Resources and CLIP Priorities apalachicola_Floater.mxd apalachicola_Floater.mxd Prioritization of Currently Suitable Brood Rearing Habitat for Mottled Ducks in the Western Gulf Coast HFU Protected Area HFU Configuration Priority Resources and CLIP Priorities CU Species Richness GPC LCC Focal Habitats - Texas Ecological Systems Map (TX only) FFW Connectivity BC Estuary Threats Assessment 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 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 GCP LCC Broadly Defined Habitats (LANDFIRE Ecological Site Potential) Precipitation as Snow under the B1 Emissions Scenario (Western North America, 23 AOGCM Ensemble) Winter (Dec to Feb) Mean Temperature under the A1B Emissions Scenario (Western North America, 23 AOGCM Ensemble)