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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of South Dakota. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of South Dakota. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Georgia. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Georgia. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Louisiana. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Louisiana. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Desert Fish Habitat Partnership. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the boundary of the Desert Fish Habitat Partnership. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled;...
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This shapefile contains sub-indices comprised of various anthropogenic land use/covers respresentative of the risk of potential habitat degradation to streams within the state of Hawaii. This file is an updated version of 'nfhap_hci_hawaii.shp' and incorporates the suggestion from the Hawaii Fish Habitat Partnership of removing trails and paths from the road network to help better represent amounts of disturbance in remote areas such as the Na Pali coast. Subindices are summarized for local and network catchments specific to perennial stream reaches throughout the state. The local and network catchments were developed using a modified version of the 1:24,000 scale National Hydrography Dataset (NHD) as a baselayer....
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The Anaktuvuk River Fire was the largest, highest-severity wildfire recorded on Alaska’s North Slope since records began in 1956. The 2007 Anaktuvuk River Fire was an order of magnitude larger than the average fire size in the historic record for northern Alaska and indices of severity were substantially higher than for other recorded tundra burns. An interdisciplinary team assessed fire effects including burn severity, potential plant community shifts, and effects on permafrost and active layers. Observers monumented, photographed, and measured 24 burned and 17 unburned reference transects, starting the year after the fire, and spanning the range of vegetation types and burn severities.
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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These data consist of species relative cover, percent cover of dead plant material, percent cover of soil and rock, and a variety of broad - and local- scale environmental variables. These data relate to sample sites along the Colorado River through Grand Canyon between Lees Ferry and river mile 245. The plant and ground cover data included here were originally collected as a part of annual vegetation monitoring by Grand Canyon Monitoring and Research Center. Environmental variables were either recorded in the field or obtained through other data sources. Species and ground cover data were collected in August and September 2014 at 96 randomly selected sample sites that were approximately evenly distributed along...
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This dataset contains measures of seasonal mean bird stopover densities and in seasonal mean bird density based on weather surveillance radar data from 20 radar locations in the Northeast U.S. across seven autumn migrations (15 August through 7 November of 2008-2014) [six autumn migrations for the terminal doppler weather radar (15 August through 7 November of 2009-2014)]. Data are present only in radar-sampled areas for each individual radar (see below for description on how these data are filtered). If you are interested in a continuous map of bird stopover densities for the entire region (and outside of these radar coverage areas), refer to layer “Predicted autumn migratory landbird density, 1km, Northeast U.S.”.The...
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These raster datasets represent historical stand age. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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These raster datasets represent historical stand age. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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These raster datasets represent historical stand age. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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The Integrated Ecosystem Model is designed to help resource managers understand the nature and expected rate of landscape change. Maps and other products generated by the IEM will illustrate how arctic and boreal landscapes are expected to alter due to climate-driven changes to vegetation, disturbance, hydrology, and permafrost. The products will also provide resource managers with an understanding of the uncertainty in the expected outcomes.
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Potential Evapotranspiration (PET): These data represent decadal mean totals of potential evapotranspiration estimates (mm). The file name specifies the decade the raster represents. For example, a file named pet_mean_mm_decadal_MPI_ECHAM5_A1B_annual_2000-2009.tif represents the decade spanning 2000-2009. The data were generated by using the Hamon equation and output from ECHAM5, a fifth generation general circulation model created by the Max Planck Institute for Meteorology in Hamburg Germany. Data are at 2km x 2km resolution, and all data are stored in geotiffs. Calculations were performed using R 2.12.1 and 2.12.2 for Mac OS Leopard, and data were formatted into geotiffs using the raster and rgdal packages. Users...
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This raster, created in 2010, is output from the Geophysical Institute Permafrost Lab (GIPL) model and represents simulated active layer thickness (ALT) in meters averaged across a decade. The file name specifies the decade the raster represents. For example, a file named ALT_1980_1989.tif represents the decade spanning 1980-1989. Cell values represent simulated maximum depth (in meters) of thaw penetration (for areas with permafrost) or frost penetration (for areas without permafrost). If the value of the cell is positive, the area is underlain by permafrost and the cell value specifies the depth of the seasonally thawing layer above permafrost. If the value of the cell is negative, the ground is only seasonally...
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This pilot project has initiated a long-term integrated modeling project that aims todevelop a dynamically linked model framework focused on climate driven changes tovegetation, disturbance, hydrology, and permafrost, and their interactions and feedbacks.This pilot phase has developed a conceptual framework for linking current state-of-thesciencemodels of ecosystem processes in Alaska – ALFRESCO, TEM, GIPL-1 – and theprimary processes of vegetation, disturbance, hydrology, and permafrost that theysimulate. A framework that dynamically links these models has been defined and primaryinput datasets required by the models have been developed.
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Ohio. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Ohio. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Montana. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Montana. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of New York. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of New York. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Tennessee. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Tennessee. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative...


map background search result map search result map National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Desert Fish Habitat Partnership South Dakota: NFHAP 2010 HCI Scores and Disturbances Georgia: NFHAP 2010 HCI Scores and Disturbances Louisiana: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Partnership (NFHP) 2010 HCI Scores and Human Disturbance Data for Hawaii Linked to NFHAP Catchments (developed using the 1:24,000 scale National Hydrography Dataset) VERSION 2.0 National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Montana: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for New York: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Ohio: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Tennessee: ESRI Service Definition Riparian Vegetation and Environmental Variables, Colorado River, 2014—Data IEM-CSC Factsheet with Supplement, 2015 Active Layer Thickness 2040 2049 Alaska Integrated Ecosystem Model Pilot Year Final Report Potential Evapotranspiration 2040-2049: ECHAM5 - A1B Scenario Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 Historical Stand Age 1910-1919 Anaktuvuk River Fire Monitoring Autumn migratory landbird stopover density radars, Northeast U.S. Anaktuvuk River Fire Monitoring Riparian Vegetation and Environmental Variables, Colorado River, 2014—Data National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Tennessee: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Ohio: ESRI Service Definition National Fish Habitat Partnership (NFHP) 2010 HCI Scores and Human Disturbance Data for Hawaii Linked to NFHAP Catchments (developed using the 1:24,000 scale National Hydrography Dataset) VERSION 2.0 Louisiana: NFHAP 2010 HCI Scores and Disturbances Georgia: NFHAP 2010 HCI Scores and Disturbances South Dakota: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for New York: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Montana: ESRI Service Definition Autumn migratory landbird stopover density radars, Northeast U.S. National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Desert Fish Habitat Partnership IEM-CSC Factsheet with Supplement, 2015 Active Layer Thickness 2040 2049 Alaska Integrated Ecosystem Model Pilot Year Final Report Potential Evapotranspiration 2040-2049: ECHAM5 - A1B Scenario Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 Historical Stand Age 1910-1919