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We created an enduring features (EF, ecological site type, geophysical setting) dataset for Oklahoma that is similar to the EF dataset we created for Texas (see Diamond et al. 2016, Diamond and Elliott 2015, Elliott et al. 2014), . Digital soil map unit polygons (MUs), variables derived from digital elevation models (e.g. percent slope), and landform models (e.g. low, gentle slopes and flats in the Ozark and Ouachita Mountains) were combined to form this dataset. Among these, the low flats of the Ozark and Ouachita Mountains were most complicated to model because the sites had a low slope but were occupied by dry-mesic forest (in contrast to the low slope of uplands, which tended to be drier). A combination of slope...
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A bare earth Digital Elevation Model (DEM) created from 2011 LiDAR LAS files for Austin and Colorado counties in Texas. LiDAR data collection was funded by the Texas Water Development Board. LiDAR LAS files were acquired from Texas Natural Resources Information System (TNRIS). The DEM is a dataset that depicts the topography of the bare earth surface (i.e. surface minus vegetation, buildings, powerlines, etc). This dataset was developled to be used in conjunction with the DSM to create a vegetation height surface (nDSM). The LAS point cloud was filtered to ground points only and the mean z value was calculated. A Digital Surface Model (DSM) created from 2011 LiDAR LAS files for Austin and Colorado counties in Texas....
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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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Previous vegetation mapping project has areas along the boundary between Texas and Oklahoma along the Red River where data was missing (gaps) or where overlaps contained contradictory mapped types (overlaps). These areas were corrected with this product. Gaps were corrected using new image objects attributed with landcover from the previous products and new soils data available from NRCS (gSSURGO). Overlaps were corrected by selecting one of the mapped types identified by previous products based on the state boundary provided by the U. S. Census Bureau (500k).
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This dataset features suitable habitat at discharges from 15,000 cfs to 100,000 cfs. The spatial extent for floodplain inundation modeling in the lower Trinity River was from Romayor, Texas, to approximately Moss Bluff, Texas. River sections were modeled using steady flow conditions. For the upper section, discharge and stage were both available for the two gages (Romayor USGS 08066500 and Liberty USGS 08067000). For the lower section, the Moss Bluff gage (USGS 08067100) is tidally-influenced, so gage height didn’t correspond to upstream changes in discharge. Depth rasters were exported from HEC-RAS 5.0.0. Since the lower section had large over- and underestimates, depth values were sampled along the intersection...
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This dataset features inundated areas at discharges from 15,000 cfs to 100,000 cfs. The spatial extent for floodplain inundation modeling in the lower Trinity River was from Romayor, Texas, to approximately Moss Bluff, Texas. River sections were modeled using steady flow conditions. For the upper section, discharge and stage were both available for the two gages (Romayor USGS 08066500 and Liberty USGS 08067000). For the lower section, the Moss Bluff gage (USGS 08067100) is tidally-influenced, so gage height didn’t correspond to upstream changes in discharge. To model river stage specific inundation for the upper section, discharge for each Landsat 8 overpass date was entered as the upstream condition and the corresponding...
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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...
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These heatmaps were created from responses to an ecosystem stressors ranking exercise from 157 conservation professionals working in the Chihuahuan Desert. The ranking exercise was created by the Borderlands Research Institute at Sul Ross State University, in Alpine, Texas. The exercise was sent to conservation partners within the Chihuahuan Desert region in the winter of 2018 and 2019. Participants were asked to identify counties in the US and municipalities in Mexico where they focus their conservation work. Participants were asked to rank the top 3 stressors facing 4 categories in 3 priority ecosystems.Priority Ecosystems:1. Grassland/Desertscrub Ecosystems 2. Riparian/Aquatic Ecosystems3. Montane Woodlands EcosystemsWithin...
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Prioritization for maintenance of intact habitat (i.e., habitat quality rating of Good or Very Good), based on local scale ecological integrity, degree of threats faced, potential conservation opportunities, and conservation value of surrounding landscape. In contrast to ecological integrity ratings; threat, opportunity and landscape rankings are largely based on the range of values of any given indicator across the geography, sorted by quantile. There are some exceptions, particularly for indicators used to develop threat rankings (e.g., urban development risk).Prioritization for restoration of degraded habitat (i.e., habitat quality rating of Fair or Poor), based on local scale ecological integrity, potential...
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Satellite imagery from the Landsat 5 Thematic Mapper sensor and the Landsat 8 Operational Land Imagery were used to investigate changes in overall evergreen vegetation occurring between the 1986-1989 and 2013-2014 time periods. Two path/rows of imagery, from the spring, summer, and fall seasons for each time period were mosaicked together. The imagery was then subset to remove the presence of clouds from the datasets. Images were further subset using the impervious data from the 2011 version of the National Land Cover Database. Unsupervised classification was used to spate each time period imageinto two classes, evergreen vegetation and everything else. Each subsequent time period was subjected to successive unsupervised...
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These heatmaps show a top 3 grassland ecosystem functionality stressor, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. 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 of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared via a webinar hosted by the Desert...
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A bare earth Digital Elevation Model (DEM) created from 2013 LiDAR LAS files for Wilson and Karnes counties in Texas. LiDAR data collection was funded by the Texas Water Development Board. LiDAR LAS files were acquired from Texas Natural Resources Information System (TNRIS). The DEM is a dataset that depicts the topography of the bare earth surface (i.e. surface minus vegetation, buildings, powerlines, etc). This dataset was developled to be used in conjunction with the DSM to create a vegetation height surface (nDSM). The LAS point cloud was filtered to ground points only and the mean z value was calculated. A Digital Surface Model (DSM) created from 2013 LiDAR LAS files for Wilson and Karnes counties in Texas....
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This dataset features suitable habitat connected to the main channel (based on floodplain inundation) within managed areas at discharges from 15,000 cfs to 100,000 cfs. The spatial extent for floodplain inundation modeling in the lower Trinity River was from Romayor, Texas, to approximately Moss Bluff, Texas. River sections were modeled using steady flow conditions. For the upper section, discharge and stage were both available for the two gages (Romayor USGS 08066500 and Liberty USGS 08067000). For the lower section, the Moss Bluff gage (USGS 08067100) is tidally-influenced, so gage height didn’t correspond to upstream changes in discharge. Depth rasters were exported from HEC-RAS 5.0.0. Since the lower section...
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The Southeast Conservation Blueprint is a map of important areas for conservation and restoration across the Southeast and Caribbean. The Blueprint categories represent the level of value—high or medium—of healthy natural resources and their potential to benefit fish, wildlife and plants. 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. This product record includes the following:Southeast Blueprint v3.0 dataset...
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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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This dataset features suitable depth (0.2 m ≤ depth ≤ 2.0 m) at discharges from 15,000 cfs to 100,000 cfs. The spatial extent for floodplain inundation modeling in the lower Trinity River was from Romayor, Texas, to approximately Moss Bluff, Texas. River sections were modeled using steady flow conditions. For the upper section, discharge and stage were both available for the two gages (Romayor USGS 08066500 and Liberty USGS 08067000). For the lower section, the Moss Bluff gage (USGS 08067100) is tidally-influenced, so gage height didn’t correspond to upstream changes in discharge. Depth rasters were exported from HEC-RAS 5.0.0. Since the lower section had large over- and underestimates, depth values were sampled...
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The online tool is a web-based tool allowing users to find relevant information for conservation planning and about BMP. The tool has two components, one for conservation planning by conservation organizations and one for implementation of BMP by landowners and land managers (described in the BMP section below). The conservation planning tool operates at the broad spatial scale of recovery regions and at a landscape scale, whereas the BMP are for a smaller spatial scale, particularly a specific property. The overall goal of the conservation planning tool is to provide relevant information to conservation organizations and private landowners about the current status of, threats to, and potential for wildlife habitat...
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The Blueprint analysis, maps, and data on this site represent the level of value – high or medium – of healthy natural resources and their potential to benefit fish, wildlife and plants. It is part of our effort to reach beyond our Region’s conservation community’s to begin talking with a range of groups about areas that have value for conservation. This information is crafted to help us get a glimpse of the of the Region as we think about emerging trends, better planning and better conversations with everyone who has a stake in what the Southeast Region might look like in 2060. Private lands identified on the map may be good candidates for voluntary conservation programs, which help keep working lands working....


map background search result map search result map Avain Comprehensive Habitat Type Dataset for the Central Texas Coast Evergreen Change in Central Oklahoma from 1986 - 2014 Oklahoma Ruderal Woody Vegetation Dynamic Grassland Decision Support Tool Sea-Level Affecting Marshes Model - Gulf of Mexico Conservation Framework Online Planning Tool Oklahoma Ecological Systems Mapping - Phase 1 dataset Wilson & Karnes Counties in Texas - Digital Elevation Models (DEM) and Digital Surface Models (DSM) Austin and Colorado Counties in Texas - Digital Elevation Models (DEM) and Digital Surface Models (DSM) Southeast Blueprint v1.0 Oklahoma and Texas Landcover Edge Match Oklahoma Enduring Features Southeast Blueprint v3.0 The Edwards to Gulf Conservation Blueprint - Habitat Management Prioritization Dos Rios Chihuahuan Desert Stressor Heatmaps Ecosystem Functionality Stressors for Grasslands in the Chihuahuan Desert River stage-specific GIS data layers depicting suitable habitat for Alligator Gar spawning in the lower Trinity River of Texas River stage-specific GIS data layers depicting suitable connected habitat for Alligator Gar spawning within managed areas in the lower Trinity River of Texas River stage-specific GIS data layers depicting suitable depth for Alligator Gar spawning in the lower Trinity River of Texas River stage-specific GIS data layers depicting floodplain inundation in the lower Trinity River of Texas River stage-specific GIS data layers depicting suitable connected habitat for Alligator Gar spawning within managed areas in the lower Trinity River of Texas River stage-specific GIS data layers depicting suitable habitat for Alligator Gar spawning in the lower Trinity River of Texas River stage-specific GIS data layers depicting suitable depth for Alligator Gar spawning in the lower Trinity River of Texas River stage-specific GIS data layers depicting floodplain inundation in the lower Trinity River of Texas Wilson & Karnes Counties in Texas - Digital Elevation Models (DEM) and Digital Surface Models (DSM) Austin and Colorado Counties in Texas - Digital Elevation Models (DEM) and Digital Surface Models (DSM) Avain Comprehensive Habitat Type Dataset for the Central Texas Coast The Edwards to Gulf Conservation Blueprint - Habitat Management Prioritization Evergreen Change in Central Oklahoma from 1986 - 2014 Oklahoma Ruderal Woody Vegetation Oklahoma Ecological Systems Mapping - Phase 1 dataset Oklahoma Enduring Features Oklahoma and Texas Landcover Edge Match Dynamic Grassland Decision Support Tool Dos Rios Chihuahuan Desert Stressor Heatmaps Ecosystem Functionality Stressors for Grasslands in the Chihuahuan Desert Conservation Framework Online Planning Tool Sea-Level Affecting Marshes Model - Gulf of Mexico Southeast Blueprint v3.0 Southeast Blueprint v1.0