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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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The tillage suitability product is a per-crop, per-pixel (30 square-meters) model representation of the predicted probability (0.00-1.00) that an area can support commodity crop development for a suite of crop types commonly grown in the LCD landscape. The values for each grid cell are interpreted as a probability, with any value greater-than 0.50 suggesting an area should be suitable for crop development based on observations of 2.5 million farmed areas around the LCD geography. To demonstrate composite suitability (“tillage”) for all crops, we added the individual probabilities for our modeled from cover classes (cereals, corn, cotton, and beans), which represents the overall proportion of votes for “crop” vs....
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We propose a collaborative project with the USGS, Wyoming State Climate Office, USFWS, USFS, and the NPS whereby we will assemble and maintain long-term records of climate from key stations in and around the Great Northern LCC and subject these records to a rigorous series of QA/QC procedures. Where appropriate we will use best available practices to infill missing data, and we will develop station histories (e.g., details of station moves, instrumentation changes, etc.) as a context for interpreting these records. We will then rigorously analyze patterns of long-term (50-100 years) variability and trends in these datasets, and provide summaries designed to meet the needs of non-climate specialists working in the...
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The primary purpose of this project is to acquire long-term data series ontemperature of selected lakes to support management of nursery habitat of lakerearingjuvenile sockeye salmon (Oncorhynchus nerka) in relation to climatechange. We adopted protocol developed by the National Park Service (NPS) toestablish moored all-season vertical temperature monitoring arrays in eight lakesof Kodiak, Togiak, and Alaska Peninsula/Becharof National Wildlife Refuges(NWR) in summer and fall 2011. We recorded lake temperature at a resolution of0.02°C on an hourly basis at various depth strata between lake surfaces and lakebottoms. Monitoring sites were visited annually or biannially to extract data andto service monitoring equipment....
The compilation of an accurate and contemporary digital shoreline for Alaska is an important step in understanding coastal processes and measuring changes in coastal storm characteristics. Consistent with efforts by the United States National Park Service (NPS) at Bering Land Bridge National Preserve (BELA) and Cape Krusenstern National Monument, high quality, defensible digital shoreline datasets are under development for select coastal parks in the State of Alaska. Near BELA, for the area from Cape Prince of Wales to Cape Espenberg, extended revised shoreline coverage can be produced using true color coastal shoreline imagery to update the boundary demarking the mean high water (MHW) shoreline, which represents...
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Understanding the causes of relative sea level rise requires knowledge of changes to both land (uplift and subsidence) and sea level. However, measurements of coastal uplift or subsidence are almost completely lacking in western Alaska. This project provided precise measurements of prioritized benchmarks across the Western Alaska geography, improving the network of published tidal benchmark elevations, allowing for tidal datum conversion in more places, and providing a necessary component for improved inundation studies in coastal communities and low-lying areas. The project’s map of vertical velocities (uplift/subsidence) of western Alaska (see ‘Final Project Report’ & ‘Vertical Velocity Map’, below) will be combined...
Understanding the causes of relative sea level rise requires knowledge of changes to both land (uplift and subsidence) and sea level. However, measurements of coastal uplift or subsidence are almost completely lacking in western Alaska. This project provided precise measurements of prioritized benchmarks across the Western Alaska geography, improving the network of published tidal benchmark elevations, allowing for tidal datum conversion in more places, and providing a necessary component for improved inundation studies in coastal communities and low-lying areas. The project’s map of vertical velocities (uplift/subsidence) of western Alaska (see ‘Final Project Report’ & ‘Vertical Velocity Map’, below) will be combined...
Nearshore bathymetry is a vital link that joins offshore water depths to coastal topography. Seamless water depth information is a critical input parameter for reliable storm surge models, enables the calculation of sediment budgets and is necessary baseline data for a range of coastal management decisions. Funding from the Western Alaska LCC resulted in the purchase of field equipment capable of shallow water measurements in rural settings, allowing collection of nearshore bathymetry around western Alaska communities. The resulting vector data shape files of nearshore bathymetry for Gambell, Savoonga, Golovin, Wales, Shismaref, and Hooper Bay are available by following the link below.
This project established a permafrost monitoring network in this region, providing a baseline of permafrost thermal regimes for assessing future change at a total of 26 automated monitoring stations. Stations have collected year-round temperature data from the active layer and the permafrost starting from the summer of 2011. The strong correspondence between spatial variability in permafrost thermal regime and an existing ecotype map allowed for the development of a map of ‘permafrost thermal classes’ for the broader study region. Further, the annual temperature data was used to calibrate models of soil thermal regimes as a function of climate, providing estimates of both historic and future permafrost thermal regimes...
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Attempts to stabilize the shore can greatly influence rates of shoreline change. Beach nourishment in particular will bias rates of observed shoreline change toward accretion or stability, even though the natural beach, in the absence of nourishment, would be eroding. Trembanis and Pilkey (1998) prepared a summary of identifiable beach nourishment projects in the Gulf Coast region that had been conducted before 1996. Those records were used to identify shoreline segments that had been influenced by beach nourishment. Supplemental information regarding beach nourishment was collected from agencies familiar with nourishment projects in the State. All records were compiled to create a GIS layer depicting the spatial...
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This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Alabama, Alabama, Alaska, Arizona, All tags...
This dataset consists of the current distribution (2000s) of mangrove forests in the southeastern U.S. This dataset was created from the current best available mangrove data on a state specific basis. Florida mangrove data was extracted from Florida Landuse Land Cover Classification System (FLUCCS). For Louisiana, we used observations of mangrove stands from aerial surveys by Michot et al. (2010). Mangrove presence in Texas came from maps produced by Sherrod & McMillan (1981) and the NOAA Benthic Habitat Atlas of Coastal Texas (Finkbeiner et al. 2009). Please note that this map depicts the distribution of mangrove forests and not mangrove individuals. More detailed information on this dataset is available in Osland...
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Rainwater Harvesting and Stormwater Research is a priority research area identified by the Arizona Governor’s Blue Ribbon Panel on Water Sustainability, which recommended that universities take the lead to identify regulatory barriers, cost and benefits, water quality issues and avenues for increasing utilization of stormwater and rainwater at the regional, community and individual property level. In an effort to address the priority research area, the University of Arizona will develop a decision support tool to be used by public utilities and agencies to evaluate suitability and cost-effectiveness of rainwater and stormwater capture at various scales for multiple benefits. Data from the City of Tucson, Arizona...
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Executive SummaryIn 2015 the Desert Landscape Conservation Cooperative (Desert LCC) made significant progress toward developing a climate smart Landscape Conservation Design for their geography. They developed a methodology for engaging interested partners in conservation planning, hosted two Landscape Conservation Design workshops (one in the U.S. and one in Mexico), developed an understanding of the highest impact pressures and stressors affecting focal ecosystems (springs, including aquatic and riparian resources, streams, including aquatic and riparian resources, and grasslands and shrublands), conducted outreach across the Desert LCC geography to familiarize partners with the Landscape Conservation Design approach...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2014, AZ-01, AZ-02, AZ-03, AZ-04, All tags...


map background search result map search result map Understanding Observational, Proxy, and Modeled Climate Data: Outreach, Training, and Support for Managers and Scientists Utility Guide to Rainwater/Stormwater Harvesting as an Adaptive Response to Climate Change “Common Ground” Landcover Classification: Oklahoma Ecological Systems Mapping Beach Nourishment in the Gulf of Mexico Ports of the United States National Wetlands Inventory - Wetlands Climate Smart Landscape Planning and Design Phase I Report: Approach, Methods and Conservation Design Workshop Results Desert LCC Landscape Conservation Design Story Map Gulf Coast Prairie Conservation Planning Atlas Austin and Colorado Counties in Texas - Digital Elevation Models (DEM) and Digital Surface Models (DSM) Moored All-Season Vertical Temperature Arrays in Lakes on Kodiak, Togiak, and Alaska Peninsula/Becharof National Wildlife Refuges Future Tillage Suitability 2050 Oklahoma Enduring Features Austin and Colorado Counties in Texas - Digital Elevation Models (DEM) and Digital Surface Models (DSM) Moored All-Season Vertical Temperature Arrays in Lakes on Kodiak, Togiak, and Alaska Peninsula/Becharof National Wildlife Refuges “Common Ground” Landcover Classification: Oklahoma Ecological Systems Mapping Future Tillage Suitability 2050 Oklahoma Enduring Features Beach Nourishment in the Gulf of Mexico National Wetlands Inventory - Wetlands Utility Guide to Rainwater/Stormwater Harvesting as an Adaptive Response to Climate Change Gulf Coast Prairie Conservation Planning Atlas Climate Smart Landscape Planning and Design Phase I Report: Approach, Methods and Conservation Design Workshop Results Desert LCC Landscape Conservation Design Story Map Understanding Observational, Proxy, and Modeled Climate Data: Outreach, Training, and Support for Managers and Scientists Ports of the United States