Skip to main content
Advanced Search

Filters: Tags: mammal (X)

144 results (77ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
In addition to current distribution of each mammal species, this map shows their current and near-term status within the ecoregion. Current, long-term, and summary bioclimate data is also include for several of these mammal species. The input datasets used in the distribution model are also included. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential...
thumbnail
mammal species, this map shows their current and near-term status within the ecoregion. Current, long-term, and summary bioclimate data is also include for several of these mammal species. The input datasets used in the distribution model are also included. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User...
thumbnail
In addition to current distribution of each mammal species, this map shows their current and near-term status within the ecoregion. Current, long-term, and summary bioclimate data is also include for several of these mammal species. The input datasets used in the distribution model are also included. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential...
thumbnail
The Western United States of America is a diverse region with widely variable plant and animal communities, climate, geology, soil characteristics, and land ownership patterns. The Western Landscapes Map Viewer allows you to explore data and maps from a variety of sources to learn more about natural resources in the west. The Western Landscapes Explorer provides access to information used to evaluate large landscapes over time. This includes data and information developed by the Integrated Landscape Assessment Project, as well as other landscape-level information designed to facilitate decision making, research, and exploration. Through the Western Landscapes Explorer you can: Explore western landscapes and...
thumbnail
This map shows the grasslands priority conservation areas (GPCAs) within North America's Central Grasslands, an ecosystem considered among the most threatened in the continent and the world. GPCAs are defined as areas of tri-national importance due to their ecological significance and threatened nature, which are in need of international cooperation for their successful conservation. In 2004, 55 GPCAs were identified by biodiversity experts through research and a workshop co-organized by the CEC. Details of the initial selection process can be found in North American Grassland Priority Conservation Areas: Technical Report and Documentation, and the CEC publication Grasslands: Toward a North American Conservation...
thumbnail
This data set contains sensitive biological resource data for sea otters, sea lions, and harbor seals in Puget Sound and Strait of Juan de Fuca, Washington. Vector points in this data set represent seal and sea lion haulout sites, as well as observed sea otter concentrations. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Puget Sound and Strait of Juan de Fuca, Washington. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled...
thumbnail
Predicted probability of fisher summer occurrence created with Maxent (Phillips et al. 2006) using fisher detections (N = 83, May – November, spanning 1993 – 2009) and eight predictor variables: mean annual precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean understory index (fraction of grass vegetation carbon in forest), mean fraction of total forest carbon in coarse wood carbon, mean forest carbon (g C m2), mean fraction of vegetation carbon in forest, and modal vegetation class. Predictor variables had a grid cell size of 4 km by 4 km, vegetation variables were simulated by the MC1 dynamic global vegetation model (Bachelet et al. 2001) and historical climate variables...
thumbnail
Predicted probability of fisher year-round occurrence created with Maxent (Phillips et al. 2006) using fisher detections (N = 102, spanning 1993 – 2011) and nine predictor variables: mean winter (January – March) precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean daily low temperature for the month of the year with the warmest mean daily low temperature, average number of months with mean temperature < 0°C, mean understory index (fraction of grass vegetation carbon in forest), mean fraction of total forest carbon in coarse wood carbon, mean forest carbon (g C m2), mean fraction of vegetation carbon in forest, and modal vegetation class. Predictor variables had a...
thumbnail
Future (2046-2065) predicted probability of marten year-round occurrence projected under the A2 emissions scenario with the PCM1 GCM (Washington et al. 2000; Meehl et al. 2003). The projected marten distribution was created with Maxent (Phillips et al. 2006) using marten detections (N = 302, spanning 1990 – 2011) and nine predictor variables: mean annual precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean annual temperature maximum, mean fraction of vegetation carbon burned, mean understory index, mean vegetation carbon (g C m2), modal vegetation class, and average maximum tree LAI. Predictor variables had a grid cell size of 10 km, vegetation variables were simulated...
thumbnail
Predicted probability of fisher year-round occurrence derived from future (2046-2065) climate projections and vegetation simulations. Projected fisher distribution was created with Maxent (Phillips et al. 2006) using fisher detections (N = 302, spanning 1990 – 2011) and five predictor variables: mean annual precipitation, mean summer (July – September) precipitation, mean understory index (fraction of grass vegetation carbon in forest), mean forest carbon (g C m2), and mean fraction of vegetation carbon in forest. Future climate drivers were generated using statistical downscaling (simple delta method) of general circulation model projections, in this case Hadley CM3 (Johns et al. 2003) under the A2 emission scenario...
thumbnail
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
thumbnail
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
thumbnail
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
thumbnail
In addition to current distribution of each mammal species, this map shows their current and near-term status within the ecoregion. Current, long-term, and summary bioclimate data is also include for several of these mammal species. The input datasets used in the distribution model are also included. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential...
thumbnail
The IUCN Red List of Threatened Species contains assessments for just over 76,000 species, of which about two-thirds have spatial data. This spatial data provided below is for comprehensively assessed taxonomic groups. It is important to note that some species such as those listed as Data Deficient are not mapped and subspecies are mapped within the parental species. The data is available as ESRI shapefiles format and contains the known range of each species. Ranges are depicted as polygons, except for the freshwater HydroSHED tables. The shapefiles contain taxonomic information, distribution status, IUCN Red List category, sources and other details about the maps (see metadata document). Please note that the files...
thumbnail
Conceptos: ¿Qué son las especies? La gran familia ¿Cuántas especies hay? Distribución de las especies Extinción Categorías de riesgo en: México | Mundo | CITES Conocimiento y uso: EncicloVida Especies endémicas Especies prioritarias Especies para la reforestación Especies de malezas Herbario virtual Especies invasoras Aves Monitoreo de especies Catálogos de especies Colecciones científicas Sistema de Información Biótica Red Mundial de Información sobre Biodiversidad Para conocer más: Bibliografía Sitios Web
thumbnail
This vast 362,885-acre ranch lies in south central New Mexico along the Rio Grande River. The vegetation is Chihuahuan and semi-desert grasslands with cottonwood, willow and salt cedar riparian along the river. The Fra Cristobal Mountain range is home to a successfully reintroduced and subsequently delisted desert bighorn sheep population (click here for desert bighorn sheep listing on Turner Endangered Species Fund site). Big game species on the ranch include bison, pronghorn, desert mule deer, mountain lion, javelina and oryx. The lava tubes of Jornada lava field is the summer home for one of the largest bat populations in North America. Wildlife research projects conducted on the Armendaris include scaled quails,...
thumbnail
The Yellowknife Study Area (YSA), Northwest Territories, Canada, was established in 1961 by H. W. Murdy, U.S. Fish and Wildlife Service, for the study of wetland and waterfowl ecology. The study area is located on the western edge of the Precambrian Shield and edge of the taiga and is recognized for its high wetland densities and waterfowl abundance. The region is underlain by discontinuous, warm permafrost and hence vulnerable to a warming climate. The completion of Highway 3 in early 1960s provided the first access to the region for development, research, and monitoring. The YSA is a 38-sq km area centered on Highway 3, extending 48 km in length. In the 1960s, it encompassed 262 natural ponds and 313 man-made...
thumbnail
Agreement in predicted marten year-round distribution derived from future (2076-2095) climate projections and vegetation simulations using 3 GCMs (Hadley CM3 (Johns et al. 2003), MIROC (Hasumi and Emori 2004), and CSIRO Mk3 (Gordon 2002)) under the A2 emissions scenario (Naki?enovi? et al. 2000). Projected marten distribution was created with Maxent (Phillips et al. 2006) using marten detections (N = 302, spanning 1990 – 2011) and eight predictor variables: mean potential evapotranspiration, mean annual precipitation, mean fraction of vegetation carbon burned, mean forest carbon (g C m2), mean fraction of vegetation carbon in forest, understory index (fraction of grass vegetation carbon in forest), average maximum...
thumbnail
Future (2046-2065) predicted probability of marten year-round occurrence projected under the A1fi emissions scenario with the Hadley CM3 GCM model (Gordon et al. 2000, Pope et al. 2000). Predicted probability of marten year-round occurrence created with Maxent (Phillips et al. 2006) using marten detections (N = 302, spanning 1990 – 2011) and eight predictor variables: mean annual precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean annual temperature maximum, mean fraction of vegetation carbon burned, mean understory index, mean vegetation carbon (g C m-2), and modal vegetation class. Predictor variables had a grid cell size of 10 km, vegetation variables were simulated...


map background search result map search result map Overlay of projected marten distributions, 2076-2095, 800 m resolution Predicted probability of fisher year-round occurrence, 2046-2065, Hadley CM3 A2, 800 m resolution Predicted probability of fisher occurrence in summer (May – November), 1986-2005, 4 km resolution Predicted probability of fisher year-round occurrence, 1986-2005, 4 km resolution Predicted probability of marten year-round occurrence, 2046-2065, PCM1 A2, 10 km resolution Predicted probability of marten year-round occurrence, 2046-2065, Hadley CM3 A1fi, 10 km resolution Marine mammal sensitivity to spilled oil in coastal environments in Puget Sound and the Strait of Juan de Fuca, Washington, USA Priority Conservation Areas: Grasslands, 2010 Western Landscapes Map Viewer The IUCN Red List of Threatened Species (TM) Biodiversidad Mexicana: Especies Armendaris Ranch Wetlands of the Yellowknife Study Area, 1962-1965: Physical characteristics BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Brachyramphus brevirostris BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Calidris canutus BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Melanitta nigra BLM REA MBR 2010 Terrestrial Species Mammals Status - Big Brown Bat BLM REA CBR 2010 Terrestrial Species Mammals Status - Desert Bighorn Sheep BLM REA CBR 2010 Terrestrial Species Mammals Status - Mule Deer BLM REA CBR 2010 Terrestrial Species Mammals Status - Kit Fox Marine mammal sensitivity to spilled oil in coastal environments in Puget Sound and the Strait of Juan de Fuca, Washington, USA BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Calidris canutus BLM REA MBR 2010 Terrestrial Species Mammals Status - Big Brown Bat BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Brachyramphus brevirostris BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Melanitta nigra Overlay of projected marten distributions, 2076-2095, 800 m resolution Predicted probability of fisher year-round occurrence, 2046-2065, Hadley CM3 A2, 800 m resolution Predicted probability of fisher occurrence in summer (May – November), 1986-2005, 4 km resolution Predicted probability of fisher year-round occurrence, 1986-2005, 4 km resolution Predicted probability of marten year-round occurrence, 2046-2065, PCM1 A2, 10 km resolution Predicted probability of marten year-round occurrence, 2046-2065, Hadley CM3 A1fi, 10 km resolution BLM REA CBR 2010 Terrestrial Species Mammals Status - Desert Bighorn Sheep BLM REA CBR 2010 Terrestrial Species Mammals Status - Mule Deer BLM REA CBR 2010 Terrestrial Species Mammals Status - Kit Fox Biodiversidad Mexicana: Especies Priority Conservation Areas: Grasslands, 2010 Western Landscapes Map Viewer The IUCN Red List of Threatened Species (TM)