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All Conservation Design Elements identified through a multi-year conservation planning effort undertaken by the Appalachian Landscape Conservation Cooperative (LCC). These elements were identified by the program Marxan as meeting collective conservation targets. Datasets include a merged design of all five elements, individual element shapefiles, and a prioritization shapefile (Conservation Design elements outlined by the NatureScape Design that were then placed into a prioritization framework based on Margulis and Pressy 2000).
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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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These heatmaps show a top 3 invasive and problematic plant stressor for riparian areas in the Chihuahuan Desert, 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...
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These heatmaps show a top 3 riparian 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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This dataset represents results from this study attributed to the NHDPlus V2 catchments. Changes in climate occurring throughout the Mississippi River Basin are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing changing thermal properties and flow regimes. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project provides a suite of climate metrics that have been found to be relevant to the distribution and population structure of aquatic organisms in freshwater stream networks. These results provide natural resource managers, decision-makers,...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Alabama, Arkansas, Colorado, Complete, All tags...
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The success of Gulf Coast restoration efforts hinge on partners sharing a common vision for conservation framed by explicit biological objectives for specific conservation targets. However, specific and explicit biological objectives that quantify what it means to actually share a common vision remain undefined. Therefore, this project’s goal is to develop explicit biological objectives for a common suite of conservation targets representative of sustainable Gulf habitats across the four Gulf Landscape Conservation Cooperatives (LCCs)(i.e., Gulf Coast Prairie, Gulf Coastal Plains & Ozarks, Peninsular Florida, and South Atlantic) and, for a subset of those species, to use Bayesian Network models to link these biological...
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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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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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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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Salt marshes classification of the South Atlantic Landscape Conservation Cooperative geography covers the northern Outer Banks (and extreme southeastern Virginia, Back Bay area) south through NC, SC, and Georgia to approximately Sapelo Island. The marsh classification is derived from Landsat 8 OLI imagery acquired in May 14-19, 2014. This georeferenced imagery was atmospherically corrected, mosaicked, and water masked prior to deriving a set of three Normalize Difference Indices (NDX) bands: Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Normalized Difference Soil Index (NDSI). Prospective salt marshes and associated tidal non-forested wetlands were classified using object-oriented...
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The Gulf Coast Vulnerability Assessment (GCVA) used an expert opinion approach to qualitatively assess the vulnerability of four ecosystems: mangrove, oyster reef, tidal emergent marsh, and barrier islands, and a suite of wildlife species that depend on them. More than 50 individuals participated in the completion of the GCVA, facilitated via Ecosystem and Species Expert Teams. The GCVA made use of the Standardized Index of Vulnerability and Value Assessment (SIVVA) (Reece and Noss 2014) to provide an objective framework for evaluating vulnerability by guiding assessors through a series of questions related to the changes an ecosystem or species might experience due to climate change and other threats. Assessors...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, BARRIER ISLANDS, BIOSPHERE, BIOSPHERE, Barrier Islands, All tags...
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The Transboundary Madrean Watersheds Landscape Conservation Design (LCD) was developed as part of an effort initiated by the Desert Landscape Conservation Cooperative (Desert LCC). The Desert LCC was a program of the Bureau of Reclamation and the US Fish and Wildlife Service to address large-scale landscape conservation in the southwestern United States and northern Mexico. This collaborative effort brought together managers, stakeholders, communities, and others to work toward sustaining resilient landscapes capable of responding to environmental challenges and supporting natural and cultural values for current and future generations.The Madrean Watersheds LCD area spans the states of Arizona, New Mexico, Sonora,...
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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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These heatmaps show a top 3 invasive animal stressor for riparian areas in the Chihuahuan Desert, 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...
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This dataset represents results from this study attributed to the NHDPlus V2 catchments. Changes in climate occurring throughout the Mississippi River Basin are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing changing thermal properties and flow regimes. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project provides a suite of climate metrics that have been found to be relevant to the distribution and population structure of aquatic organisms in freshwater stream networks. These results provide natural resource managers, decision-makers,...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Alabama, Arkansas, Colorado, Complete, All tags...
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Florida - These data were taken from the Florida Boating Access Facilities Inventory and Economic Study including a pilot study for Lee County: A Report to the Florida Fish and Wildlife Conservation Commission on August 30, 2009. This GIS point data set is based on the data contained in the final databases that were provided to FWC on June 2, 2009 in Microsoft Access format.Mississippi - Boat ramps and marinas in the coastal counties of Mississippi are included in this data layer. These facilities were primarily derived from a document from the Mississippi Department of Marine Resources website. Due to changes after Hurricane Katrina, some marinas and boat ramps may have been abandoned or gone out-of-business. Some...
Categories: Data; Tags: Academics & scientific researchers, Alabama, Aransas County, Baldwin County, Brazoria County, All tags...
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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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These heatmaps show a top 3 invasive animal stressor for grasslands in the Chihuahuan Desert, 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...


map background search result map search result map Marinas in the Gulf of Mexico Biological planning units and aquatic extensions for the Gulf Coast Marsh Classification Vector Polygons for the South Atlantic Landscape Conservation Cooperative (SALCC), derived from Landsat 8 OLI Normalized Difference Indices 2014 NatureScape, Design Gulf Coast Vulnerability Assessment Oklahoma and Texas Landcover Edge Match Oklahoma Enduring Features OUTDATED Southeast Blueprint v3.0 Data: Current and future CNRM CM3 climate data for NHD v2 catchments within the Mississippi River Basin Data: Current and future MPI ECHAM5 climate data for NHD v2 catchments within the Mississippi River Basin Dos Rios Chihuahuan Desert Stressor Heatmaps Ecosystem Functionality Stressors for Grasslands in the Chihuahuan Desert Invasive Animal Stressors for Grasslands in the Chihuahuan Desert Ecosystem Functionality Stressors for Riparian Areas in the Chihuahuan Desert Invasive Animal Stressors for Riparian Areas in the Chihuahuan Desert Invasive and Problematic Plant Stressors for Riparian Areas 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 floodplain inundation in the lower Trinity River of Texas Madrean Watersheds Conservation Blueprint: Forest Cores 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 floodplain inundation in the lower Trinity River of Texas Oklahoma Enduring Features Oklahoma and Texas Landcover Edge Match Madrean Watersheds Conservation Blueprint: Forest Cores Marsh Classification Vector Polygons for the South Atlantic Landscape Conservation Cooperative (SALCC), derived from Landsat 8 OLI Normalized Difference Indices 2014 Marinas in the Gulf of Mexico Dos Rios Chihuahuan Desert Stressor Heatmaps Ecosystem Functionality Stressors for Grasslands in the Chihuahuan Desert Invasive Animal Stressors for Grasslands in the Chihuahuan Desert Ecosystem Functionality Stressors for Riparian Areas in the Chihuahuan Desert Invasive Animal Stressors for Riparian Areas in the Chihuahuan Desert Invasive and Problematic Plant Stressors for Riparian Areas in the Chihuahuan Desert Gulf Coast Vulnerability Assessment NatureScape, Design Biological planning units and aquatic extensions for the Gulf Coast Data: Current and future CNRM CM3 climate data for NHD v2 catchments within the Mississippi River Basin Data: Current and future MPI ECHAM5 climate data for NHD v2 catchments within the Mississippi River Basin OUTDATED Southeast Blueprint v3.0