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This layer represents the roads for the Crown of the Continent Ecosystem. The data are a compilation from multiple sources. Credits: Agriculture (U.S.D.A.) Forest Service Region 1 National Forests, Department of Administration - Montana Transportation Framework, Government of Alberta - Sustainable Resource Development (SRD), Foothills Research Insitute and the Digital Road Atlas (DRA) of British Colombia. This dataset was compiled through efforts of Alberta Sustainable Resource Development regional staff as well as the Foothills Research Institute.
This layer shows aspin defoliators (large aspen torix and forest tent caterpillars) damage in the Crown of the Continent and a 50km buffer. Delineates outbreaks of the two focal species referred to as aspen defoliators (large aspen torix and forest tent caterpillar). Covers the CCE and 50km into the surrounding area from 2000 to 2007. This layer is a compilation from multiple sources, Bruce spanworm polygons were removed from Alberta data, focal species were extracted from USDA data.This dataset was developed by the Crown Managers Partnership, as part of a transboundary collaborative management initiative for the Crown of the Continent Ecosystem, based on commonly identified management priorities that are relevant...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Biology,
Biology,
Data,
Data.gov Great Northern Landscape Conservation Cooperative,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
This layer represents historic fire perimeters within 50km of the Crown of the Continent Ecosystem (CCE) from 2014 to 2015 within only Alberta and British Columbia. This dataset was developed by the Crown Managers Partnership, as part of a transboundary collaborative management initiative for the Crown of the Continent Ecosystem, based on commonly identified management priorities that are relevant at the landscape scale. The CMP is collaborative group of land managers, scientists, and stakeholder in the CCE. For more information on the CMP and its collaborators, programs, and projects please visit: http://crownmanagers.org/. This dataset was first published in May 2016. Note: There was not any public data available...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 2014 to 2015,
2014 to 2015,
Crown Manager's Partnership,
Crown Manager's Partnership,
Crown of the Continent Ecosystem,
This layer represents historic fire perimeters within 50km of the Crown of the Continent Ecosystem (CCE) from 1931 to 2013. This dataset was developed by the Crown Managers Partnership, as part of a transboundary collaborative management initiative for the Crown of the Continent Ecosystem, based on commonly identified management priorities that are relevant at the landscape scale. The CMP is collaborative group of land managers, scientists, and stakeholder in the CCE. For more information on the CMP and its collaborators, programs, and projects please visit: http://crownmanagers.org/. This dataset was first published in May 2016.Note: There was not any publically comparable data available for the fire cause for...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Crown Manager's Partnership,
Crown Manager's Partnership,
Crown of the Continent Ecosystem,
Crown of the Continent Ecosystem,
Data,
Agricultural Areas within the Rainwater Basin Region and Twin Platte Region of Nebraska delineated by irrigation type (pivot, pivot corner, gravity, and dryland). Land status current to 2016.
The Southern Rockies LCC is home to narrowleaf cottonwood (Populus angustifolia), common at elevations above 1800 m, and Fremont cottonwood [a common name regionally attached to the ecologically very similar Populus fremontii subsp. fremontii S. Watson and P. deltoides subsp. wislizenii (S. Watson) Eckenwalder, as well as their intergrades], which is typically found at elevations below 1800 m. This geographical information system (GIS) contains the data sets used in an assessment of the amount and character of native Fremont cottonwood forest remaining on the mainstem floodplains in 26 subbasins in the Upper Colorado River Basin (UCRB), published in 2007 (Andersen, D.C., D.J. Cooper, and K. Northcott. 2007. Dams,...
File-based data for download:https://www.sciencebase.gov/catalog/item/65565629d34ee4b6e05c482a This layer calculated changes between the first and last time steps from the Sagebrush Conservation Design dataset. Calculations were done by adding the first and second time step rasters using the Raster Calculator tool in ArcGIS Pro. The later raster was reclassified with the following values Non-Rangeland Areas = 0, Core Sagebrush Areas = 10, Growth Opportunity Areas = 20, Other Rangeland Areas = 30. This created a raster showing change with the following values. Non-Rangeland to Non-Rangeland = 0Core to Non-Rangeland =1, Growth to Non-Rangeland = 2,Other to Non-Rangeland = 3Non-Rangeland to Core = 10Core to Core =...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Data,
SEI,
SageDAT-data,
Sagebrush Conservation Design,
completed
File-based data for download:https://www.sciencebase.gov/catalog/item/65564a51d34ee4b6e05c47f7 This layer calculated changes between the first and last time steps from the Sagebrush Conservation Design dataset. Calculations were done by adding the first and second time step rasters using the Raster Calculator tool in ArcGIS Pro. The later raster was reclassified with the following values Non-Rangeland Areas = 0, Core Sagebrush Areas = 10, Growth Opportunity Areas = 20, Other Rangeland Areas = 30. This created a raster showing change with the following values. Non-Rangeland to Non-Rangeland = 0Core to Non-Rangeland =1, Growth to Non-Rangeland = 2,Other to Non-Rangeland = 3Non-Rangeland to Core = 10Core to Core =...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Data,
SEI,
SageDAT-data,
Sagebrush Conservation Design,
completed
The Field Notes collection mainly consists of hand-written descriptions of outcrops, measured sections, gravel pits, and other geologic sites in Iowa. The majority of these notes were contained in paper files, organized by county. Pertinent information from the files was entered in the GeoSam database and associated documents were scanned and uploaded for public view.
Categories: Data,
Physical Item;
Types: Collection,
Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: ndc_collection
Standing dead trees, or snags, are an important habitat element in any forested system, and provide diurnal or seasonal shelter for many LCC priority species. The ISA landscape endpoint for snag density in upland hardwood woodland and forest systems targets one large (≥16” dbh) snag for every five acres of forest (or approximately ~0.2 large snags/acre), reflected by cavity-roosting habitat needs of the silver-haired bat (Lasionycteris noctivagans) and ample other avian, and mammalian species that require cavities in snags to carry out their life history. We used USFS imputed density of large (>16” dbh) snags data (USDA Forest Service Remote Sensing Applications Center, personal communication) extracted through...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BIOSPHERE,
BIOSPHERE,
Conservation planning,
Data,
EARTH SCIENCE,
The five fracture zones contained in this layer are: Highway 97 North, Highway 97 Central, Highway 97 South, Highway 3 East, and Highway 3 West.
These data represent modeled stream temperatures for a portion of a larger dataset known as the Great Northern Landscape Conservation Cooperative (GNLCC) (https://www.fws.gov/science/catalog). This metadata record is a combined description for two spatial data feature types, vector lines and points, which cover the same geographic area. The line features are derived from NHDPlus (http://www.horizon-systems.com/NHDPlus/index.php) (USEPA and USGS, 2010) stream lines and the point data represent 1 km intervals along the NHDPlus stream network. Both datasets contain identical modeled stream temperature attributes. These modeled stream temperatures were generated as part of the U.S. Forest Service NorWeST stream temperature...
These data represent modeled stream temperatures for a portion of a larger dataset known as the Great Northern Landscape Conservation Cooperative (GNLCC) (https://www.fws.gov/science/catalog). This metadata record is a combined description for two spatial data feature types, vector lines and points, which cover the same geographic area. The line features are derived from NHDPlus (http://www.horizon-systems.com/NHDPlus/index.php) (USEPA and USGS, 2010) stream lines and the point data represent 1 km intervals along the NHDPlus stream network. Both datasets contain identical modeled stream temperature attributes. These modeled stream temperatures were generated as part of the U.S. Forest Service NorWeST stream temperature...
This data product contains estimates of habitat connectivity for desert bighorn sheep. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011). Habitat variables varied among species but included vegetation type, terrain ruggedness, topographic position index (TPI), road density, distance...
The Virginia Department of Conservation and Recreation – Natural Heritage Program (DCRDNH) and the Florida Natural Areas Inventory (FNAI) at Florida State University (collectively, Project Partners) were funded by the South Atlantic Landscape Conservation Cooperative (SALCC) in April 2015 to develop ten species distribution models (SDM) of priority at-risk and range-restricted species (Ambystoma cingulatum, Echinacea laevigata, Heterodon simus, Lindera melissifolia, Lythrum curtissii, Notophthalmus perstriatus, Phemeranthus piedmontanus, Rhus michauxii, and Schwalbea americana) for the purposes of incorporating the models and supporting information on the conservation and management needs of the species into the...
The Virginia Department of Conservation and Recreation – Natural Heritage Program (DCRDNH) and the Florida Natural Areas Inventory (FNAI) at Florida State University (collectively, Project Partners) were funded by the South Atlantic Landscape Conservation Cooperative (SALCC) in April 2015 to develop ten species distribution models (SDM) of priority at-risk and range-restricted species (Ambystoma cingulatum, Echinacea laevigata, Heterodon simus, Lindera melissifolia, Lythrum curtissii, Notophthalmus perstriatus, Phemeranthus piedmontanus, Rhus michauxii, and Schwalbea americana) for the purposes of incorporating the models and supporting information on the conservation and management needs of the species into the...
The Virginia Department of Conservation and Recreation – Natural Heritage Program (DCRDNH) and the Florida Natural Areas Inventory (FNAI) at Florida State University (collectively, Project Partners) were funded by the South Atlantic Landscape Conservation Cooperative (SALCC) in April 2015 to develop ten species distribution models (SDM) of priority at-risk and range-restricted species (Ambystoma cingulatum, Echinacea laevigata, Heterodon simus, Lindera melissifolia, Lythrum curtissii, Notophthalmus perstriatus, Phemeranthus piedmontanus, Rhus michauxii, and Schwalbea americana) for the purposes of incorporating the models and supporting information on the conservation and management needs of the species into the...
We are providing geospatial data layers of climate, fire, biome and predicted species distributions for download at our project website. Links to presentations, data descriptions and zip files containing data layers can be found here. Over the next few months, we will continue to upload webinars and new training tutorials that demonstrate the application of these datasets to new questions and species. Climate and environmental data can readily be used to generate new models for additional species or other applications to describe habitats and future conditions within New Mexico. Initial fire model output is available as raster images and tabulated values that can be used in analyses of wildfire risk or hazardous...
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Academics & scientific researchers,
BIOSPHERE,
BIOSPHERE,
COMMUNITY DYNAMICS,
COMMUNITY DYNAMICS,
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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