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Burn probability (BP) raster dataset predicted for the 2080-2100 period in the Rio Grande area was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the 8.5 Representative Concentration Pathway.
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This dataset contains the predicted probability of occurrence for modeled distributions of smallmouth bass.
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The Surface Management Agency (SMA) Geographic Information System (GIS) dataset depicts Federal land for the United States and classifies this land by its active Federal surface managing agency. The SMA feature class covers the continental United States, Alaska, Hawaii, Puerto Rico, Guam, American Samoa and the Virgin Islands. A Federal SMA agency refers to a Federal agency with administrative jurisdiction over the surface of Federal lands. Jurisdiction over the land is defined when the land is either: Withdrawn by some administrative or legislative action, or Acquired or Exchanged by a Federal Agency. This layer is a dynamic assembly of spatial data layers maintained at various federal and local government offices....
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Burn probability (BP) for Fireline Intensity Class 6 (FIL6) with flame lengths in the range of 3.7-15 m predicted for the 2080-2100 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the 8.5...
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Burn probability (BP) for Fireline Intensity Class 2 (FIL2) with flame lengths in the range of 0.6-1.2 m predicted for the 2050-2070 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the...
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The Western Native Trout Initiative is all about getting projects done that will help improve the abundance of western native trout across a variety of landscapes. WNTI a collaborative effort of 12 western states including Alaska, the National Fish Habitat Action Plan, the U.S. Fish and Wildlife Service, Forest Service, Bureau of Land Management, and many tribal and public or private conservation-minded organizations (view partners). WNTI's goals and objectives include gathering project opportunities, funding, and partners together to make a measurable impact on native trout populations and habitats. WNTI projects are and will be funded by many different entities and partners.
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Burn probability (BP) for Fireline Intensity Class 5 (FIL5) with flame lengths in the range of 2.4-3.7 m predicted for the 2080-2100 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the...
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Burn probability (BP) for Fireline Intensity Class 4 (FIL4) with flame lengths in the range of 1.8-2.4 m predicted for the 2050-2070 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for 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 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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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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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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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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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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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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This is the SSURGO soils data from the USDA, NRCS, clipped to the boundary of Bear Valley NWR. Some of the attributes are included in this dataset, but not the entire database which is available from the NRCS. For full metadata, see this site: http://www.nrcs.usda.gov/wps/portal/nrcs/detail/tx/home/?cid=nrcs142p2_053631
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The Hydrology Point Feature Class defines natural/semi natual point hydrographic features (springs, seeps, tanks, guzzlers…) on RSL. The data for this point feature class was provided by the refuge.


map background search result map search result map 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 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) Northern Leopard Frog: 2030 Habitat Suitability Consensus of All Models Stream Centerlines for the Shasta River, CA Smallmouth Bass Predicted Probability of Distribution Burn Probability for Fireline Intensity Class 2, predicted for 2050 to 2070 for Rio Grande study area Burn Probability for Fireline Intensity Class 4, predicted for 2050 to 2070 for Rio Grande study area Burn Probability for Fireline Intensity Class 5, predicted for 2080 to 2100 for Rio Grande study area Burn Probability for Fireline Intensity Class 6, predicted for 2080 to 2100 for Rio Grande study area Burn Probability predicted for 2080 to 2100 for Rio Grande study area Bolinas to Pescadero Region Web Services El Segundo Blue Butterfly Proposed Critical Habitat 1977 Soils (SSURGO), Bear Valley NWR Hydrology point features, Ruby Lake NWR Western Native Trout Initiative Projects Landownership El Segundo Blue Butterfly Proposed Critical Habitat 1977 Soils (SSURGO), Bear Valley NWR Stream Centerlines for the Shasta River, CA Bolinas to Pescadero Region Web Services Northern Leopard Frog: 2030 Habitat Suitability Consensus of All Models Burn Probability for Fireline Intensity Class 2, predicted for 2050 to 2070 for Rio Grande study area Burn Probability for Fireline Intensity Class 4, predicted for 2050 to 2070 for Rio Grande study area Burn Probability for Fireline Intensity Class 5, predicted for 2080 to 2100 for Rio Grande study area Burn Probability for Fireline Intensity Class 6, predicted for 2080 to 2100 for Rio Grande study area Burn Probability predicted for 2080 to 2100 for Rio Grande study area Landownership Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Smallmouth Bass Predicted Probability of Distribution Northern Parula: DSL 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 Western Native Trout Initiative Projects