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We capitalized on a regional-scale, anthropogenic experiment?the reduction of black-tailed prairie dog (Cynomys ludovicianus) towns across the Great Plains of North America?to test the hypothesis that decline of this species has led to declines in diversity of native grassland vertebrates of this region. We compared species richness and species composition of non-volant mammals, reptiles and amphibians at 36 prairie dog towns and 36 paired sites in the Panhandle Region of Oklahoma during the summers and falls of 1997, 1998 and 1999. We detected 30 species of mammals, 18 species of reptiles and seven species of amphibians. Comparisons between communities at prairie dog towns and paired sites in the adjacent landscape...
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These raster data represent the results of a case study in Arizona on how vertebrate richness metrics can be used with existing state and federal guidance in wind and solar energy facility siting. Each of the four geodatabases (see Cross References) contain eight native terrestrial wildlife group models in Arizona: 1) all vertebrates, 2) amphibians, 3) reptiles, 4) birds, 5) mammals, 6) bats, 7) raptors and 8) long-distant migratory birds. An XML workbook is included that lists all terrestrial native vertebrate species in Arizona which cross-walks these species to the name of the National Gap Analysis Project species distribution model.
The TopoWx ("Topography Weather") gridded dataset contains historical 30-arcsec resolution (~800-m) interpolations of minimum and maximum topoclimatic air temperature for the conterminous U.S. Using both DEM-based variables and MODIS land skin temperature as predictors of air temperature, interpolation procedures include moving window regression kriging and geographically weighted regression. This temperature set was created independently of the NCCWSC funded project, "Can Camouflage Keep up with Climate Change? Connecting Downscaled Climate Models to Adaptation for a Key Forest Species", but was in part motivated by the project.
Abstract (from ESA): Estimating population size and resource selection functions (RSFs) are common approaches in applied ecology for addressing wildlife conservation and management objectives. Traditionally such approaches have been undertaken separately with different sources of data. Spatial capture–recapture (SCR) provides a hierarchical framework for jointly estimating density and multi‐scale resource selection, and data integration techniques provide opportunities for improving inferences from SCR models. Despite the added benefits, there have been few applications of SCR‐RSF integration, potentially due to complexities of specifying and fitting such models. Here, we extend a previous integrated SCR‐RSF model...
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Historical and projected suitable habitat of 14 tree and shrub species a under CCSM4 GCMs from 2000 to 2099 was predicted to assess projected climate change impacts in forest communities of North Central U.S. We obtained presence/absence record of each species from Forest Inventory and Analysis (FIA) data. required ata. Historical tme period ranges from 1971 to 2000, and projected time period ranges from 2071 to 2100. Random Forest was used to project historical and future suitable habitat of all species across West U.S. using the Biomod2 software programmed in R environment. We adopted a climate change scenarios generated from the experiments conducted under fifth assessment of Coupled Model Intercomparison Project...
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Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
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Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
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Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
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Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
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Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
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Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
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Mapping of terrestrial vertebrates focuses on linking a spatial representation of species-habitat matrices to geographic distribution. Each model is a combination of distribution from regional and state references in association with contiguous appropriate habitats. Ranges for all species were based on 8-digit HUCs. Habitats were based on a raster SWReGAP 1 acre MMU land cover data set, with hydrology habitats added in from USGS NHD dataset directly or through modeling. Habitat association information was obtained from various state, regional, and national references with updates from scientific literature. This portion of the Southwest Regional Gap Analysis Project produced predicted habitat distribution maps for...
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These data are estimates of den emergence date, den site departure dates, and duration at den sites as well as post-emergence observations for female polar bears sampled in the southern Beaufort Sea subpopulation 1985-2016 and the Chukchi Sea subpopulation 2008-2017. The data were used to better understand the importance of time spent at the den site post-emergence. Emergence dates and departure dates were determined using collar temperature sensor data.
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This dataset includes measures collected on polar bears captured in the Chukchi and Beaufort Seas, 1981-2017 by the U.S. Geological Survey and U.S. Fish and Wildlife Service. Data collected include body length, body mass, axillary girth, skull width and tail lengths. Bears were also aged as described in the methods. For some bears, an adipose tissue sample was collected and percent lipid content was measured, percent body fat was measured via bioelectrical impedance analysis, and/or recent feeding behavior was assessed via gut palpitation or blood urea and creatinine levels, all of which are further described in the methods.
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These data represent trapping effort and captures of deer mice at Point Reyes National Seashore, Marin County, California. Deer mice were captured and marked with ear tags to allow identification of individuals. The location of captures can be used in a spatially explicit capture recapture model to estimate density of mice and how mouse density varies by site and habitat type.
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Landscape-scale conservation of threatened and endangered species is often challenged by multiple, sometimes conflicting, land uses. In Hawaiʻi, efforts to conserve native forests have come into conflict with objectives to sustain non-native game mammals, such as feral pigs, goats, and deer, for subsistence and sport hunting. Maintaining stable or increasing game populations represents one of the greatest obstacles to the recovery of Hawaii’s 425 threatened and endangered plant species. Many endemic Hawaiian species have declined and become endangered as a result of herbivorous non-native game mammals. Meanwhile, other environmental changes, including the spread of invasive grasses and changing precipitation patterns...
Climate change is affecting species and ecosystems across the Northeast and Midwest U.S. Natural resource managers looking to maintain ecological function and species persistence have requested information to improve resource management in the face of climate change. Leveraging the research that has already been supported by the Northeast Climate Adaptation Science Center and its partners, this project used the latest modeling techniques combined with robust field data to examine the impact of specific climate variables, land use change, and species interactions on the future distribution and abundance of species of conservation concern. An interdisciplinary team worked to understand the mechanisms that are driving...
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Northeastern boreal forests are an important habitat type for many wildlife species, including migratory birds and moose. These animals play vital roles in the boreal forest ecosystem, are a source of pleasure for bird and wildlife watchers, and contribute to tourism revenue for many communities. However, moose and migratory birds are thought to be particularly vulnerable to the impacts of climate change. For example, in New York’s Adirondack Park system, five species of boreal birds have shown occupancy declines of 15% or more. Meanwhile, moose are threatened by winter ticks that thrive in warmer climates and spread disease. A 2018 New York Department of Environmental Conservation (NYDEC) report found that there...


map background search result map search result map Integrating Climate Change Research and Planning to Inform Wildlife Conservation in the Boreal Forests of the Northeastern U.S. Landscape-scale wildlife species richness metrics Managing Non-native Game Mammals to Reduce Future Conflicts with Native Plant Conservation in Hawai‘i Habitat Suitability of Dominant Tree and Shrub Species to Support Wolverine Management Across North West U.S. (1971-2100) Under Climate Change BLM REA MBR 2010 SWReGAP 173870 Vertebrate Habitat Distribution Models BLM REA MBR 2010 SWReGAP 180565 Vertebrate Habitat Distribution Models BLM REA MBR 2010 SWReGAP 180088 Vertebrate Habitat Distribution Models BLM REA CBR 2010 SWReGAP 174238 Vertebrate Habitat Distribution Models BLM REA CBR 2010 SWReGAP 175377 Vertebrate Habitat Distribution Models BLM REA CBR 2010 SWReGAP 175309 Vertebrate Habitat Distribution Models BLM REA CBR 2010 SWReGAP 179402 Vertebrate Habitat Distribution Models Measurement Data of Polar Bears Captured in the Chukchi and Southern Beaufort Seas, 1981-2017 Captures and Trapping Effort for Deer Mice (Peromyscus sonoriensis) at Point Reyes National Seashore, California, USA from 2021 to 2022 Estimated Post-Emergence Period for Denning Polar Bears of the Chukchi and Beaufort Seas Captures and Trapping Effort for Deer Mice (Peromyscus sonoriensis) at Point Reyes National Seashore, California, USA from 2021 to 2022 Integrating Climate Change Research and Planning to Inform Wildlife Conservation in the Boreal Forests of the Northeastern U.S. Landscape-scale wildlife species richness metrics BLM REA MBR 2010 SWReGAP 173870 Vertebrate Habitat Distribution Models BLM REA MBR 2010 SWReGAP 180565 Vertebrate Habitat Distribution Models BLM REA MBR 2010 SWReGAP 180088 Vertebrate Habitat Distribution Models BLM REA CBR 2010 SWReGAP 174238 Vertebrate Habitat Distribution Models BLM REA CBR 2010 SWReGAP 175377 Vertebrate Habitat Distribution Models BLM REA CBR 2010 SWReGAP 175309 Vertebrate Habitat Distribution Models BLM REA CBR 2010 SWReGAP 179402 Vertebrate Habitat Distribution Models Habitat Suitability of Dominant Tree and Shrub Species to Support Wolverine Management Across North West U.S. (1971-2100) Under Climate Change Measurement Data of Polar Bears Captured in the Chukchi and Southern Beaufort Seas, 1981-2017 Estimated Post-Emergence Period for Denning Polar Bears of the Chukchi and Beaufort Seas