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We assessed the resilience of wetlands to sea-level rise along a transitional gradient from tidal freshwater forested wetland (TFFW) to oligohaline marsh by measuring processes controlling wetland elevation. We identified fundamental differences in how resilience is maintained across wetland community types, which have important implications for management activities that aim to restore or conserve resilient systems.
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IMPORTANT NOTE: A more recent version of this data release is available from this link. This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2016), with the processed data through September 30, 2015. The primary data for each year is downloaded from the ANL website (http://gonzalo.er.anl.gov/ANLMET/numeric/) and is processed following the guidelines documented in Over and others (2010) and Bera (2014). Hourly potential evapotranspiration computed using the computer program LXPET (Lamoreux Potential Evapotranspiration). Murphy (2005) describes in detail the computer program LXPET. References Cited: ...
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This dataset contains a projection of land use and land cover for the conterminous United States for the period 2001 - 2061. This projection used the USGS's LUCAS (Land Use and Carbon Scenario Simulator) model to project a business as usual scenario of land cover and land use change. By running the LUCAS model on the USGS's YETI high performance computer and parallelizing the computation, we ran 100 Monte Carlo simulations based on empirically observed rates of change at a relatively fine scale (270m). We sampled from multiple observed rates of change at the county level to introduce heterogeneity into the Monte Carlo simulations. Using this approach allowed the model to project different outcomes that were summarized...
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The Louisiana State Legislature created Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Highway 384 Hydrologic Restoration (CS-21) project for 2015. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...
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Disclaimer: this is an historic version of NLCD provided for research and citation purposes. Different release dates of NLCD cannot be used with other release dates for correct analysis. Each release of NLCD generates a complete set of directly comparable products. These products must be used together for correct analysis. You can find the latest suite of synced products at www.mrlc.gov. The National Land Cover Database 2001 land cover layer for mapping zones 01-66 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National...
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This data release contains hourly means of climatological data collected by the U.S. Geological Survey (USGS) from 10/1/1991 to 9/30/2019 at three weather stations in the Loch Vale watershed in Rocky Mountain National Park (RMNP), Colorado. In order of increasing elevation, the three weather stations are Loch Vale meteorological station at RMNP, Colo. (Main weather station, USGS station 401719105394311) at an elevation of 2,925 meters (m) above North American Vertical Datum of 1988 (NAVD 88), Andrews Creek meteorological station at RMNP, Colo. (Andrews Creek weather station, USGS station 401723105400101) at an elevation of 2,990 m above NAVD 88 and Sharkstooth meteorological station at RMNP, Colo. (Sharkstooth weather...
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As part of the next generation NLCD 2016 mapping process, the NLCD research team developed a suite of intermediate products that were used to generate the final NLCD Land Cover products. Some of those products also have value as independent products and are provided here. Please read the product descriptions to understand what the product represents. Questions about the NLCD 2016 land cover product can be directed to the NLCD 2016 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.
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This dataset contains .csv and .tif image files in support of the conclusions published in "Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change" in the journal PLOS One. We used the USGS's LUCAS model to examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand, including the historical (1992-2011) and projected periods (2012-2062) across 40 Monte Carlo simulations.We examined a range of potential water demand futures sampled from a 20-year record of historical (1992-2012) data to develop a suite of potential future land change scenarios from 2012-2062. These scenario simulations include...
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This data release comprises the data files and code necessary to perform all analyses presented in the associated publication. The *.csv data files are aggregations of water extent on the basis of the European Commission's Joint Research Centre (JRC) Monthly Water History database (v1.0) and the Dynamic Surface Water Extent (DSWE) algorithm. The shapefile dataset contains the study area 8-digit hydrologic unit code (HUC) regions used as the basis for analysis. Html files provide an overview of the study workflow and integrated R notebooks (in .Rmd format) for recreating all project results and plots. The R notebook ingest the necessary data files from their online locations. These data support the following publication:...
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This data release contains aggregated data records documenting the implementation of USDA conservation practices on farms within the Chesapeake Bay watershed. The data are supplied as annual totals aggregated by county, and by eight digit hydrologic unit code (HUC-8) watershed. The initial data release covers 2007-2017, and updates are planned for December of each year. The data provided here, and the processes used to aggregate them, are thoroughly described in "Agricultural conservation practice implementation in the Chesapeake Bay watershed supported by the U.S. Department of Agriculture" by Hively and others (2018) available at https://doi.org/10.3133/ds1102 Contents: Aggregated_Data_Records_Describing_USDA_Conservation_Practices_Implemented_Within_the_Chesapeake_Bay_Waters...
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This dataset is the third (circa 2013) in a series of three 1-kilometer land use land cover (LULC) time-periods datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources. To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate the photo-interpretation...
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The USGS Forecasting Scenarios of Land-use Change (FORE-SCE) model was used to produce an agricultural biofuel scenarios for the Northern Glaciated Plains, from 2012 to 2030. The modeling used parcel data from the USDA's Common Land Unit (CLU) data set to represent real, contiguous ownership and land management units. A Monte Carlo approach was used to create 50 unique replicates of potential landscape conditions in the future, based on a agricultural scenario from the U.S. Department of Energy's Billion Ton Update. The data are spatially explicit, covering the entire Northern Glaciated Plains ecoregions (an EPA Level III ecoregion), with a spatial resolution of 30-meters and 22 unique land-cover classes (including...
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Forests in Washington State generate substantial economic revenue from commercial timber harvesting on private lands. To investigate the rates, causes, and spatial and temporal patterns of forest harvest on private tracts throughout the central Cascade Mountain area, we relied on a new generation of annual land-use/land-cover (LULC) products created from the application of the Continuous Change Detection and Classification (CCDC) algorithm to Landsat satellite imagery collected from 1985 to 2014. We calculated metrics of landscape pattern using patches of intact and harvested forest patches identified in each annual layer to identify changes throughout the time series. Patch dynamics revealed four distinct eras...
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This data set includes bi-monthly data on submerged aquatic vegetation species composition, percent cover, above and below ground biomass and environmental data at coastal sites across the fresh to saline gradient in Barataria Bay, LA. This project was co-funded by the South Central Climate Adaptation Science Center and the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives. An alternate reference to this product can be found here.
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These data are supplementary to the journal article Bassiouni, M., Scholl, M.A., Torres-Sanchez, A.J., Murphy, S.F., 2017, A Method for Quantifying Cloud Immersion in a Tropical Mountain Forest Using Time-Lapse Photography, Agricultural and Forest Meteorology, http://dx.doi.org/10.1016/j.agrformet.2017.04.010. The data set includes cloud immersion frequency, mean temperature, relative humidity and dew point depression values for five sites, representing Figures 7a and 7b in the article, and values used to calculate the averages shown in Table 2. The results cover the time period from March 2014 to May 2016. A list of validation image filenames with their classifications and the set of 7360 validation images for...
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This data set includes mosaicked aerial photographs for the Riverine Sand Mining/Scofield Island Restoration (BA-40) project for 2014. This data is used as a basemap habitat classification. If repeated, it can also serve as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a habitat classification was performed on specific projects to help assess landscape changes.
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Plot-level field data were collected in the summer of 2014 to estimate aboveground and belowground biomass in the Great Dismal Swamp National Wildlife Refuge and Dismal Swamp State Park in North Carolina and Virginia. Data were collected at 85 plots. The location of the center of each plot was recorded with a Trimble ProXH global positioning system (GPS) and differentially corrected. Data files included 1: GDS_plots.csv, 2. GDS_FWD.csv, 3. GDS_LWD.csv, 4. GDS_Shrubs.csv, 5. GDS_Trees.csv, and 6. GDS_plot_summaries.csv. The data contained in GDS_plot_summaries.csv were calculated from the GDS_plots.csv, GDS_FWD.csv, GDS_LWD.csv, GDS_Shrubs.csv, GDS_Trees.csv files using the R statistical software environment (R Core...
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The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's...
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This data set collects, from peer-reviewed research, values of sea surface temperature (SST) that occurred at various sites across the Earth during a brief period of the mid-Piacenzian
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This data release contains data discussed in its larger work citation (Symstad et al., 2017, Climate Risk Management 17:78-91, Associated Item at right). "ClimateComparisonData.csv" contains summary metrics of six climate projections used as climate input for quantitative simulations of hydrologic and ecological responses to climate change at Wind Cave National Park (WCNP) and the same summary metrics for 38 other climate projections available at the time that these simulations were done. "HydroData.csv" contains mean annual streamflow of a stream in WCNP and mean annual hydraulic head of a subterranean lake in Wind Cave as simulated by the rainfall-response aquifer and watershed flow (RRAWFLOW) model for two climate...


map background search result map search result map Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2015 Elevation change along a coastal wetland landscape gradient from tidal freshwater forested wetland to oligohaline marsh in the Southeastern U.S.A. (2009-2014) data Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) Modeled 2030 land cover for the Northern Glaciated Plains ecoregion Supplementary Data for Method for Quantifying Cloud Immersion in a Tropical Mountain Forest Using Time-Lapse Photography Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change Data - Forest harvest patterns on private lands in the Cascade Mountains, Washington, USA Data from simulations of ecological and hydrologic response to climate change scenarios at Wind Cave National Park, South Dakota, 1901-2050 A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning Riverine Sand Mining/Scofield Island Restoration (BA-40): 2014 habitat classification Aggregated Data Records Describing USDA Conservation Practices Implemented Within the Chesapeake Bay Watershed Highway 384 Hydrologic Restoration (CS-21): 2015 land-water classification Conterminous United States Land Cover Projections - 1992 to 2100 Great Dismal Swamp field measurements for aboveground and belowground biomass Datasets for Integrating stream gage data and Landsat imagery to complete time-series of surface water extents in Central Valley, California National Land Cover Database (NLCD) 2016 Land Cover Science Product Climatological data for the Loch Vale watershed in Rocky Mountain National Park, Colorado, water years 1992-2019 National Land Cover Database (NLCD) 2001 Land Cover Conterminous United States Gambia Land Use Land Cover 2013 Climatological data for the Loch Vale watershed in Rocky Mountain National Park, Colorado, water years 1992-2019 Riverine Sand Mining/Scofield Island Restoration (BA-40): 2014 habitat classification Highway 384 Hydrologic Restoration (CS-21): 2015 land-water classification Data from simulations of ecological and hydrologic response to climate change scenarios at Wind Cave National Park, South Dakota, 1901-2050 Supplementary Data for Method for Quantifying Cloud Immersion in a Tropical Mountain Forest Using Time-Lapse Photography Gambia Land Use Land Cover 2013 Elevation change along a coastal wetland landscape gradient from tidal freshwater forested wetland to oligohaline marsh in the Southeastern U.S.A. (2009-2014) data Data - Forest harvest patterns on private lands in the Cascade Mountains, Washington, USA Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) National Land Cover Database (NLCD) 2001 Land Cover Conterminous United States Aggregated Data Records Describing USDA Conservation Practices Implemented Within the Chesapeake Bay Watershed Datasets for Integrating stream gage data and Landsat imagery to complete time-series of surface water extents in Central Valley, California Modeled 2030 land cover for the Northern Glaciated Plains ecoregion Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning Conterminous United States Land Cover Projections - 1992 to 2100 National Land Cover Database (NLCD) 2016 Land Cover Science Product