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An estimated value for the ability of managers to dirct actions to protect, restore, or mitigate species and habitats. We recognize that our preliminary estimates are arbitrary and fairly approximate, but argue that making these explicit within a framework will enable stakeholders and managers to conduct subsequent analyses to better support their decision making.
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This dataset was last updated February 2017. This version incorporates a revised version of the land cover classification, Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1 developed by the University of Massachusetts, which included the addition of The Nature Conservancy’s Northeast lakes and ponds classification.The American Woodcock (Scolopax minor) is a forest-dwelling shorebird well-known for its spring courtship flights and popular as a gamebird. It has been chosen to represent the habitat needs of other species of wildlife that also use young, moist hardwoods and mixed forests.This dataset depicts the potential capability of the landscape throughout the Northeastern United States to provide habitat...
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This dataset is a component of a complete package of products from the Connect the Connecticut project. Connect the Connecticut is a collaborative effort to identify shared priorities for conserving the Connecticut River Watershed for future generations, considering the value of fish and wildlife species and the natural ecosystems they inhabit. Click here to download the full data package, including all documentation. This dataset identifies large and medium rivers within the Connecticut River watershed that provide habitat for five anadromous fish species: American shad, blueback herring, shortnose sturgeon, alewife, and sea lamprey. Habitat includes the mainstem and major tributaries of the Connecticut River...
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This data product contains estimates of habitat quality for mule deer. 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 to water,...
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Substrate mobility measures the realized mobility of the physical substrate, due to both substrate composition (i.e. sand) and exposure to forces (wind and water) that transport material. This is an important attribute of certain dynamic systems (e.g., coastal dune systems) and is given as an index of mobility (1=stable , 10=highly mobile, values 6, 7, 8, and 10 do not occur in the Northeast region). Substrate mobility was derived from a custom algorithm based on the ESMplus and National Land Cover Database (NLCD) classes and National Wetlands Inventory (NWI) polygons.
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This dataset represents a species distribution model for American oystercatcher (Haematopus palliatus) on New Jersey’s Atlantic coast and was created as part of the Protection of Critical Beach Habitat project. In addition to American oystercatcher, this project includes species distribution models for piping plover (Charadrius melodus), least tern (Sternula antillarum), and black skimmer (Rynchops niger). All species models can be found in the Data Basin gallery Protection of Critical Beach-nesting Bird Habitats in the Wake of Severe Coastal Storms.Species distribution modeling was conducted to examine the influence of landscape scale variables and beach management strategies on bird breeding habitat suitability....
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Priority and use segments for Sandhill Cranes (Antigone canadensis). Segments designated as use areas were utilized during annual spring surveys 2014-2016. Priority areas were determined using statistical modeling. The reduced model that best predicted use by Sandhill cranes included total area of trees, pits, crops and unvegetated sandbar habitats in each segments. Mean distance to conservation lands and roads and minimum distance to transmission lines and towers were also included in the model. Only distance to lines and total tree area had a significant (p < 0.05) relationship with priority core segments.
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This layer represents the major road network of the U.S. Northern Rockies. It was created by merging Montana Department of Transportation "on-system" routes with Idaho Transportation Department "state highway system" routes, creating consistent attribute fields, then clipping to the U.S. Northern Rockies study area boundary.
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This dataset was last updated February 2017. This version incorporates a revised version of the land cover classification, Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1 developed by the University of Massachusetts, which included the addition of The Nature Conservancy’s Northeast lakes and ponds classification.The Wood Thrush (Hylocichla mustelina) is a small, migratory songbird famed for its ethereal song. It has been chosen to represent the habitat needs of other species of wildlife that also use moist hardwood forests across the northeastern U.S. This dataset depicts the potential capability of the landscape throughout the Northeastern United States to provide habitat for Wood Thrush, during the...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the growing season degree days (number of days in which the average temperature is > 10 degrees C) using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical growing season degree days for the years 2010-2080 rather than the actual growing season degree days. MAP UNITS ARE THE SUM OF DEGREES...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models. This dataset represents projections of the total average annual precipitation (mm/year) using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). The dataset is intended to represent typical total annual precipitation expected during the years 2010-2080.Detailed documentation for all of the UMass climate datasets is available from: http://jamba.provost.ads.umass.edu/web/lcc/DSL_documentation_climate.pdf...
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This dataset estimates the probability of road-crossing mortality to wildlife for roads throughout the Northeastern United States circa 2010. It is based on a model that relates traffic rate to wildlife mortality developed by Gibbs and Shriver (2002) for turtles and therefore the estimates are expected to be most accurate for relatively small, slow-moving wildlife species. Units are probability, 0-1 (e.g., a value of 0.25 is equivalent to an estimated 25% chance of mortality to wildlife that attempt to cross the road at that location.)Detailed documentation for the methods to derive the dataset are available from: DSL_traffic_documentation_07-2013.pdf . This dataset was developed as part of the Designing Sustainable...
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Our objective was to model mean annual number of zero-flow days (days per year) for small streams in the Upper Colorado River Basin under historic hydrologic conditions on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between zero-flow days per year on gaged streams (115 gages) and environmental variables....
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This indicator represents the amount of overall acres of forested wetlands currently present in the South Atlantic geography.Reason for SelectionOverall acreage of existing forested wetlands provides an indicator of whether forested wetlands being inundated by sea level rise are being replaced or restored somewhere else. It is also well monitored and resonates with a diversity of audiences.Input Data– 2016 National Land Cover Database (NLCD)Mapping StepsAny pixels identified as “woody wetlands” in the 2016 NLCD were considered existing forested wetland.Final indicator valuesIndicator values were assigned as follows:1 = Forested wetlandDisclaimer: Comparing with Older Indicator VersionsThere are numerous problems...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS, ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS, ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS, ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS, BIOSPHERE, All tags...
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This datasets displays U.S. Military Training Routes (MTRs) and their associated buffers.Input data: http://ais-faa.opendata.arcgis.com/datasets/0c6899de28af447c801231ed7ba7baa6_0Download date: 2/1/2018Metadata for input data: https://www.arcgis.com/sharing/rest/content/items/0c6899de28af447c801231ed7ba7baa6/info/metadata/metadata.xml?format=default&output=htmlMethods:* Used widthleft and widthright for buffer width* Converted miles in attribute table to meters (miles * 1609.344)* Created left and right buffers using fields with widths in meters* Merged left and right buffer shapefiles* Dissolved buffers into a single feature
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This dataset features suitable habitat connected to the main channel (based on floodplain inundation) 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...
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This data product contains estimates of habitat connectivity for pronghorn. 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 to water,...
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This data product contains estimates of habitat quality 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...
map background search result map search result map Precipitation mm/year projections for Northeast for years 2010-2080 RCP 4.5 Growing Season Degree Days for Northeast, Projected for 2010-2080, RCP 8.5 Substrate Mobility, Northeast Risk of Road Crossing Mortality to Wildlife - 2010 Northern Rockies Study Area U.S. Northern Rockies Major Roads Terrestrial Impact Combined, RCP 8.5 Adaptive Capacity, High Range Bighorn Sheep Habitat Quality Mule Deer Habitat Quality Pronghorn Habitat Connectivity Anadromous Fish Index, CT River Watershed Landscape Capability for American Woodcock, Version 3.0, Northeast U.S. Predicted mean annual number of zero-flow days Landscape Capability for Wood Thrush, Version 3.0, Northeast U.S. Sandhill Crane Priority Use Cores U.S. Military Training Routes (MTRs) and buffers Species distribution model for American oystercatcher on New Jersey's Atlantic Coast, 2007-2012 River stage-specific GIS data layers depicting suitable connected habitat for Alligator Gar spawning in the lower Trinity River of Texas Indicator: Forested Wetland Extent Species distribution model for American oystercatcher on New Jersey's Atlantic Coast, 2007-2012 Sandhill Crane Priority Use Cores Anadromous Fish Index, CT River Watershed Bighorn Sheep Habitat Quality Mule Deer Habitat Quality Pronghorn Habitat Connectivity U.S. Northern Rockies Major Roads Northern Rockies Study Area Predicted mean annual number of zero-flow days Terrestrial Impact Combined, RCP 8.5 Indicator: Forested Wetland Extent Adaptive Capacity, High Range Risk of Road Crossing Mortality to Wildlife - 2010 Landscape Capability for American Woodcock, Version 3.0, Northeast U.S. Landscape Capability for Wood Thrush, Version 3.0, Northeast U.S. Substrate Mobility, Northeast Precipitation mm/year projections for Northeast for years 2010-2080 RCP 4.5 Growing Season Degree Days for Northeast, Projected for 2010-2080, RCP 8.5 U.S. Military Training Routes (MTRs) and buffers