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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...
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We represent vulnerability as matrix that relates impacts with adaptive capacity. Vulnerability is high when impact is high and adaptive capacity is low. Vulnerability is moderate when either the impact is high and adaptive capacity is high, or if impact is low and adaptive capacity is low. Vulnerability is low when impact is low and adaptive capacity is high. We represent these conceptually as categorical for ease of discussion, but in reality there is continuum of vulnerabilities, and a different adaptation strategies and likely conservation actions, depending on the characteristics of the vulnerability.
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This dataset measures the total amount of above-ground live biomass in forested systems, which is an important attribute of forested communites and an indicator of successional development, and an important habitat attribute for many forest-associated wildlife species. The dataset is derived from a combination of remote sensing products derived from multi-temporal Landsat TM data and Forest Inventory and Analysis (FIA) plot data and forest succession models derived from FIA plot data. It is expected this dataset will be useful for distinguishing early successional from mature forests as they existed in approximately 2012. Units are in kilograms/meters squared times 10. To create this dataset, the Woods Hole North...
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The American Black Duck (Anas rubripes) is a large dabbling duck that breeds in a variety of wetland types in northeastern North America and winters in wetlands along the Atlantic coast.For the non-breeding season, it has been chosen to represent the habitat needs of other species of wildlife that also use estuarine and freshwater coastal marsh and open water. (See also the separate breeding habitat models.) This dataset depicts the potential capability of the landscape throughout the Northeastern United States to provide habitat for American Black Duck, during the breeding season, based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability,...
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A vector polygon GIS file of all city and town boundaries in New York State. The file was originally a compilation of U.S. Geological Survey 1:100,000-scale digital vector files and NYS Department of Transportation 1:24,000-scale and 1:75,000-scale digital vector files. Boundaries were revised to 1:24,000-scale positional accuracy and selectively updated based on municipal boundary reviews, court decisions and NYS Department of State Local Law filings for annexations, dissolutions, or incorporations. Currently, boundary changes are made based on NYS Department of State Local Law filings (http://locallaws.dos.ny.gov/). Additional updates and corrections are made as needed in partnership with municipalities.
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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 mean of the minimum air temperature (degrees C) for December, January, and February using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). The dataset is intended to represent typical winter temperatures for the years 2010-2080. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED BY 100 (which allows for more efficient data storage).Detailed...
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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 mean of the maximum air temperature (degrees C) for June, July, and August using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical summer temperatures for the years 2010-2080. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED BY 100 (which allows for more efficient data storage).Detailed...
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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 or RCP8.5). 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 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 depicts the potential capability of the landscape throughout the CT River Watershed to provide habitat for Blackburnian Warbler (Dendroica fusca) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat...
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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 Marsh Wren (Cistothorus palustris) is a small, migratory songbird that breeds in emergent marshes of the northeastern and midwestern United States and southern Canada. It has been chosen to represent the habitat needs of other species of wildlife that also use fresh, brackish and salt marshes.This dataset depicts the potential capability of the landscape throughout the Northeastern United...
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About This Project Open woodlands dominated by southern yellow pine were historically a large component of the landscape across the southeastern United States. These woodlands have an open canopy of longleaf, slash, shortleaf, and/or loblolly pines, with scattered shrubs and a grassy understory. These southern open pine ecosystems support many species of wildlife, many of which have declined in recent years as the amount and condition of their habitat has declined. This troubling decline in wildlife species has led to a focus on regional conservation efforts by America’s Longleaf, the National Fish and Wildlife Foundation, Landscape Conservation Cooperatives, state wildlife agencies, the U.S. Forest Service, National...
map background search result map search result map Precipitation mm/year projections for years 2010-2080 RCP 8.5 Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2010-2080, RCP4.5 Mean Maximum Summer Temperature (deg. C) for Northeast, Projected for 2010-2080, RCP8.5 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 Risk of Road Crossing Mortality to Wildlife - 2010 2012 Forest Above-ground Biomass, Northeast ALI Riverine Assessment Project Area Riparian Vulnerability, RCP 4.5 Bighorn Sheep Habitat Quality Pronghorn Habitat Connectivity Landscape Capability for Blackburnian Warbler, CT River Watershed Landscape Capability for Marsh Wren, Version 3.0, Northeast U.S. Predicted mean annual number of zero-flow days Landscape Capability for American Black Duck, Breeding, Version 3.1, Northeast U.S. City and Town Boundaries U.S. Military Training Routes (MTRs) and buffers Efficiently monitoring extent of fire and fire effects in the South Atlantic LCC: Fire spatial footprint geodatabase 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 Landscape Capability for Blackburnian Warbler, CT River Watershed Bighorn Sheep Habitat Quality Pronghorn Habitat Connectivity ALI Riverine Assessment Project Area City and Town Boundaries Predicted mean annual number of zero-flow days Riparian Vulnerability, RCP 4.5 Indicator: Forested Wetland Extent Risk of Road Crossing Mortality to Wildlife - 2010 2012 Forest Above-ground Biomass, Northeast Landscape Capability for Marsh Wren, Version 3.0, Northeast U.S. Landscape Capability for American Black Duck, Breeding, Version 3.1, Northeast U.S. Precipitation mm/year projections for years 2010-2080 RCP 8.5 Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2010-2080, RCP4.5 Mean Maximum Summer Temperature (deg. C) for Northeast, Projected for 2010-2080, RCP8.5 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 Efficiently monitoring extent of fire and fire effects in the South Atlantic LCC: Fire spatial footprint geodatabase U.S. Military Training Routes (MTRs) and buffers