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Agreement in predicted fisher year-round distribution derived from future (2076-2095) climate projections and vegetation simulations using 2 GCMs: Hadley CM3 (Johns et al. 2003) and MIROC (Hasumi and Emori 2004) under the A2 emissions scenario (Naki?enovi? et al. 2000). Projected fisher distribution was 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...
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Future (2076-2095) predicted probability of fisher year-round occurrence projected under the A1fi emissions scenario with the Hadley CM3 GCM model (Gordon et al. 2000, Pope et al. 2000). Projected fisher distribution was created with Maxent (Phillips et al. 2006) using fisher detections (N = 102, spanning 1993 – 2011) and seven 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, mean fraction of vegetation carbon burned, mean vegetation carbon (g C m2), and modal vegetation class. Predictor variables had a grid cell size of...
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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...
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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...
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NatureServe worked with several federal, state, and NGO partners in the United States and Mexico to conduct a climate change vulnerability assessment of major natural community types found within the Mojave and Sonoran Deserts. The project focused on ten major upland, riparian, and aquatic community types, including pinyon-juniper woodlands, Joshua tree-blackbrush scrub, creosote-bursage scrub, salt desert scrub, Paloverde-mixed cacti scrub, semi-desert grassland, desert riparian and stream, riparian mesquite bosque, and desert springs. This effort piloted a new Habitat Climate Change Vulnerability Index (HCCVI) approach being developed by NatureServe, as a companion to an existing index for species. The project...
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Funded by Arizona Game & Fish Department, our team of conservation biologists and GIS Analysts at Northern Arizona University are creating detailed linkage designs for 16 priority areas highlighted in the Wildlife Linkages Assesment. These plans identify and map multi-species corridors that will best maintain wildlife movement between wildland blocks, as well as highlight specific planning and road mitigation measures required to maintain connectivity in these corridors. Note: The linkage design reports are in compressed PDF format for faster download. Unfortunately, the compression occasionally makes small text on maps within the report difficult to read. If you would like a high-resolution PDF or PNG copy of any...
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The Nature Conservancy's New Mexico Conservation Science Program works with public & private agencies and institutions on ecological management, conservation planning, and scientific assessments to further its mission to “preserve the plants, animals, and natural communities that represent the diversity of life on Earth by protecting the lands and waters they need to survive.”
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The purpose of this Integrated Natural Resources Plan (INRMP) is to guide and document the manner in which the U.S. Army Yuma Proving Ground (USAYPG or YPG) sutains the military mission on the installation while managing the ecological health of our natural resources area. The INRMP will ensure sound land management, environmental stewardship, and compliance with all relevant laws, regulations, and applicable state and federal management plans, are consider during mission and project planning activities and that no net loss of mission capacity results from meeting our stewardship responsibilities. The INRMP is consistent with military requirements and the Sikes Act and associated amendments. Management of natural...
Natural grassland ecosystems across the United States are diverse, shaped and governed by a range of floristic, edaphic, physiographic, and climatic factors. North American grasslands, which are between 30˚ and 60˚ latitude and include the grasslands of the American Southwest, are considered temperate grasslands.
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A Comprehensive Conservation Plan (CCP) provides management direction for a refuge for 15 years. With input for the public, the Service forms a vision of a refuge's desired conditions and the actions needed to achieve it. A refuge's vision may include improved habitat conditions and expanded public use programs that are compatible with resource conservation.
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Agreement in predicted fisher 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 fisher distribution was created with Maxent (Phillips et al. 2006) using fisher detections (N = 102, spanning 1993 – 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...
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Predicted probability of fisher year-round occurrence derived from future (2076-2095) climate projections and vegetation simulations. Projected fisher distribution was 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...
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Predicted probability of marten year-round occurrence derived from future (2076-2095) climate projections and vegetation simulations. Projected marten distribution was created with Maxent (Phillips et al. 2006) using marten detections (N = 302, spanning 1990 – 2011) and nine predictor variables: mean winter (January – March) precipitation, mean amount of snow on the ground in March, mean understory index (fraction of grass vegetation carbon in forest), mean fraction of total forest carbon in coarse wood carbon, average maximum tree LAI, mean fraction of vegetation carbon burned, mean forest carbon (g C m2), mean fraction of vegetation carbon in forest, and modal vegetation class. Future climate drivers were...
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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...
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iMapInvasives Arizona is an online data management tool that is a standardized, central repository of location information for all invasive species taxon. The tool facilitates data sharing and utilization by land managers, the public and other organizations. The database stores basic point locations of invasive species observations, but also allows for advanced data management, including the capability to input treatment records, survey records, and track infestations over time. Use this tool by contributing data, planning and collaborating projects, or monitoring infestations.
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To help resource managers prioritize management actions across large landscapes, the Integrated Landscape Assessment Project (ILAP) produced databases, reports, maps, analyses, and other information showing mid- to broad-scale (thousands to hundreds of thousands of hectares and larger areas) vegetation conditions and potential future trends, key wildlife habitat conditions and trends, wildfire hazard, potential economic value of products that might be generated during vegetation management, and other critical information for all lands and all major upland vegetation types in Arizona, New Mexico, Oregon, and Washington. ILAP work involved gathering and consolidating existing information, developing new information...
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The Arizona Game and Fish Department (Department) recently revised its State Wildlife Action Plan that provides a framework and information to assist in setting conservation priorities for the state’s wildlife and habitats. Data gathered for Arizona’s State Wildlife Action Plan represents myriad sources and extensive public comment, and is used to support the Department’s efforts to develop proactive conservation goals and objectives. Much of that data (more than 300 data layers) is compiled into a single model of wildlife conservation potential, the Species and Habitat Conservation Guide. To ensure the State Wildlife Action Plan information is accessible and useful to everyone, the Arizona Game and Fish Department...
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In the border region between Mexico, Arizona and New Mexico, a little known landscape supports a unique mix of temperate and subtropical ecosystems, the likes of which are found nowhere else in the United States. The Sky Islands are an area of more than 40 separate mountain ranges isolated by what was once a sea of more than 13 million acres of grassland. It is one of America’s hotspots for wildlife diversity, hosting more than twice as many mammal species as Yellowstone National Park and supporting the nation’s highest diversity of reptiles, bees, and ants. Additionally, these grasslands are a key connecting landscape between the Sierra Madre Occidental Mountains in Mexico and the Rocky Mountains to the North and...
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The following plans are in various stages of preparation, from early pre-planning to complete. The list includes the name of the National Wildlife Refuge, location reference, type of plan being prepared, general plan status, name of planning team leader, and planner's contact information including a clickable email link. The plans are arranged geographically by the four states of the Southwest Region: Arizona, New Mexico, Oklahoma, and Texas


map background search result map search result map Overlay of projected fisher distributions, 2076-2095, 800 m resolution Overlay of projected fisher distributions, 2076-2095, 4 km resolution Predicted probability of marten year-round occurrence, 2076-2095, Hadley CM3 A2, 4 km resolution Predicted probability of fisher year-round occurrence, 2076-2095, MIROC A2, 4 km resolution Predicted probability of fisher year-round occurrence, 2076-2095, Hadley CM3 A1fi, 10 km resolution HabiMap™ Arizona Integrated Landscape Assessment Project Arizona Missing Linkages Climate Change Vulnerability and Adaptation Strategies for Natural Communities New Mexico Conservation Science Kentucky - Tier 1 Conservation Areas U.S. Fish & Wildlife Service Wildlife Refuges Southwest Region Plans in Progress & Completed Plans U.S. Fish & Wildlife Service Wildlife Refuges Pacific Southwest Region Comprehensive Conservation Plan Sky Island Grasslands iMapInvasives Arizona Draft Integrated Natural Resources Management Plan, U.S. Army Yuma Proving Ground BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Falco peregrinus BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Numenius tahitiensis BLM REA CBR 2010 Terrestrial Species Mammals Status - Pygmy Rabbit Draft Integrated Natural Resources Management Plan, U.S. Army Yuma Proving Ground Kentucky - Tier 1 Conservation Areas Sky Island Grasslands HabiMap™ Arizona Arizona Missing Linkages iMapInvasives Arizona New Mexico Conservation Science BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Numenius tahitiensis BLM REA SNK 2010 Alaska Gap Analysis Project: Breeding Season Distribution Map for Falco peregrinus Climate Change Vulnerability and Adaptation Strategies for Natural Communities U.S. Fish & Wildlife Service Wildlife Refuges Pacific Southwest Region Comprehensive Conservation Plan Overlay of projected fisher distributions, 2076-2095, 800 m resolution Overlay of projected fisher distributions, 2076-2095, 4 km resolution Predicted probability of marten year-round occurrence, 2076-2095, Hadley CM3 A2, 4 km resolution Predicted probability of fisher year-round occurrence, 2076-2095, MIROC A2, 4 km resolution Predicted probability of fisher year-round occurrence, 2076-2095, Hadley CM3 A1fi, 10 km resolution U.S. Fish & Wildlife Service Wildlife Refuges Southwest Region Plans in Progress & Completed Plans BLM REA CBR 2010 Terrestrial Species Mammals Status - Pygmy Rabbit Integrated Landscape Assessment Project