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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 in the decade centered on 2060 rather than the actual temperatures during 2060. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED...
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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 in the decade centered on 2080 rather than the actual temperatures during 2080. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED...
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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 contains the predicted probability of occurrence for modeled distributions of smallmouth bass.
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The purpose of this dataset is to display the physical boundaries of Fire Management Zones within the U.S. Fish & Wildlife Service, Pacific Southwest Region.
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Our objective was to model specific mean daily flow (mean daily flow divided by drainage area [cubic feet per second per square mile]) 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 specific mean daily flow on gaged streams (115 gages) and environmental variables. We then projected specific mean...
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Our objective was to model specific minimum flow (mean of the annual minimum flows divided by drainage area [cubic feet per second per square mile]) 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 specific minimum flow on gaged streams (115 gages) and environmental variables. We then projected...
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This is a continuous raster dataset identifying wetlands that are currently suitable for mottled duck brood-rearing activities in the Western Gulf Coast. The identification process is based on key biological parameters such as wetland type, number of years inundated, distance to brood nesting habitat, etc. Additionally, this raster dataset presents the data in a form that prioritizes habitat from more suitable to less suitable based on landscape metrics. The scale ranges from 9.9999 to .000005, higher value designating higher suitability ranking.
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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 year 2060 rather than the actual growing season degree days. MAP UNITS ARE THE SUM OF DEGREES THAT...
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This layer represents 5-year relative counts of wildlife carcasses collected by Montana Department of Transportation (MDT) maintenance personnel or U.S. Fish & Wildlife Service Grizzly Bear Recovery Team personnel on or adjacent to on-system (major) routes from 2008 to 2012. To obtain relative counts, the 5-year total counts per mile, which included all wildlife species observed, were divided by the maximum observed calue (98) to give a relative 0-1 risk score. Total counts, which include all wildlife species observed, along with carnivore counts, which include only black bears, grizzly bears, mountain lions, and wolves, are provided. Counts were derived by identifying the nearest mile marker to each carcass point...
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In support of the Designing Sustainable Landscapes project, avian habitat models were developed for 40 species representing 12 distinct habitat types within the South Atlantic Migratory Bird Initiative region (see Table 1 ). These models were used to assess the current and future capability of habitats to support sustainable bird populations in the face of complex landscape changes including urban growth and the effects of climate change on sea level rise and plant community succession. The basis of the habitat models was derived from the Southeast Gap Analysis Project which utilized a deductive approach to develop boolean (presence/absence) predictive habitat maps within a species known range (see Appendix A...
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Sage-grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries. HABITAT CATEGORY DETERMINATION The process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat ‘quality’ classes. 1) High quality habitat comprised pixels with RSF values < 0.5 SD. 2) Moderate > 0.5 and < 1.0 SD. 3)...
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The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.
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To accomplish the objectives laid out in the Summary, several products were developed: Stream Centerline with Route Index This product consists of line geometries that were digitized from a combination of data sources. The principle source was an intensity raster produced from LiDAR data collected by Watershed Sciences, Inc., in Feb. 2008. The secondary source was a vector contour set from the contractor-delivered elevation model, which was used to determine the lowest elevations associated with the mapped channel boundary. The river centerline adhered to these two inputs to maintain internal consistency with the LiDAR point cloud.Two center lines were developed; one describes the main stem Shasta River while the...
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Changes in tidal marsh area and habitat type in response to sea-level rise were modeled using the Sea Level Affecting Marshes Model (SLAMM 6) that accounts for the dominant processes involved in wetland conversion and shoreline modifications during long-term sea level rise (Park et al. 1989; Successive versions of the model have been used to estimate the impacts of sea level rise on the coasts of the U.S. The model was produced by Warren Pinnacle Consulting, Inc. for the U.S. Fish and Wildlife Service. The SLAMM version 6 technical document can be accessed at http://warrenpinacle.com/prof/SLAMM. SLAMM outputs were converted from raster to vector features. Land cover (wetland) types were generalized to MesoHabitat...
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Maps on sheet 9 show the thickness and the depth to base of uppermost Pleistocene and Holocene (post-LGM) deposits, both for the Offshore of San Gregorio map area and, to establish regional context, for a larger area (about 91 km of coast) that extends from the Bolinas area to the Pescadero Point area. To make these maps, water bottom and depth to base of the LGM horizons were mapped from seismic-reflection profiles using Seisworks software. The difference between the two horizons was exported from Seisworks for every shot point as XY coordinates (UTM zone 10) and two-way travel time (TWT). The thickness of the post-LGM unit was determined by applying a sound velocity of 1,600 m/sec to the TWT, resulting in thicknesses...
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Combined core and corridor areas used to identify the landscape context of potential implementation opportunities in terms of enhancing functional connectivity. Data generated by The Conservation Fund as part of the Midwest Wind Energy Multi-Species Habitat Conservation Plan (MSHCP) and NiSource MSHCP green infrastructure network design processes.


map background search result map search result map Road-Killed Wildlife Carcass Frequency by Mile of Montana On-System Routes in the U.S. Northern Rockies (2008-2012) Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2060, RCP4.5, Ensemble GCM Results Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2080, RCP4.5, Ensemble GCM Results Prioritization of Currently Suitable Brood Rearing Habitat for Mottled Ducks in the Western Gulf Coast Growing Season Degree Days for Northeast, Projected for 2060, RCP 8.5, Ensemble GCM Results Northern Parula: DSL Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Wave Height Data for the Gulf of Mexico Stream Centerlines for the Shasta River, CA Black Rail- Potential Habitat Under Sea Level Affecting Marshes Model (SLAMM) Conditions Adaptive Capacity, Low Range Smallmouth Bass Predicted Probability of Distribution Bolinas to Pescadero Region Web Services Combined Green Infrastructure Corridors Gridded SSURGO - Farmland Class (Prime/Important) El Segundo Blue Butterfly Proposed Critical Habitat 1977 SRLCC Projects Predicted specific mean daily flow Predicted specific minimum flow El Segundo Blue Butterfly Proposed Critical Habitat 1977 Bolinas to Pescadero Region Web Services Black Rail- Potential Habitat Under Sea Level Affecting Marshes Model (SLAMM) Conditions Road-Killed Wildlife Carcass Frequency by Mile of Montana On-System Routes in the U.S. Northern Rockies (2008-2012) Prioritization of Currently Suitable Brood Rearing Habitat for Mottled Ducks in the Western Gulf Coast Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Smallmouth Bass Predicted Probability of Distribution Predicted specific mean daily flow Predicted specific minimum flow Wave Height Data for the Gulf of Mexico Northern Parula: DSL Adaptive Capacity, Low Range Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2060, RCP4.5, Ensemble GCM Results Growing Season Degree Days for Northeast, Projected for 2060, RCP 8.5, Ensemble GCM Results Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2080, RCP4.5, Ensemble GCM Results SRLCC Projects Combined Green Infrastructure Corridors Gridded SSURGO - Farmland Class (Prime/Important)