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Whooping cranes (Grus americana) of the Aransas-Wood Buffalo population migrate twice each year through the Great Plains in North America. Recovery activities for this endangered species include providing adequate places to stop and rest during migration, which are generally referred to as stopover sites. To assist in recovery efforts, initial estimates of stopover site use intensity are presented, which provide opportunity to identify areas across the migration range used more intensively by whooping cranes. We used location data acquired from 58 unique individuals fitted with platform transmitting terminals that collected global position system locations. Radio-tagged birds provided 2,158 stopover sites over 10...
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The central Platte River Valley represents a key mid-latitude stopover This dataset supports a contemporary analysis of nocturnal roost selection for sandhill cranes staging along the Platte River during 2003-2007. We explored variation in selection for previously established characteristics of roost sites, including river channel width, vegetation height along the river bank, and distance to nearest disturbance feature. This analysis also included novel environmental factors (yearly estimates of corn near roost sites, nightly temperature, wind speed, and river discharge) and how they may interact with the more established characteristics.
Bird banding at 2 locations adjacent to one another (one in koa restoration forest, and other in native intact forest) at Hakalau Forest National Wildlife Refuge before and after the start of an outbreak by koa moths (Scotorythra paludicola) during 2013. Each bird was measured with an electronic scale accurate to 1/10th g. Results indicate that insectivorous birds increased in mass, on average, while generalist diet species showed marginally significant increases, and two out of three nectarivorous and frugivorous birds did not have significant change.
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This dataset consists of one table with annual counts from population plots of Black-legged Kittiwakes and Common Murres at two seabird nesting colonies on Gull and Chisik Islands in lower Cook Inlet, Alaska.
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Remote camera stations were set up in Lassen Volcanic National Park from August to October 2017 and June to September 2018 to document occurrence of mesocarnivores and other wildlife. 126 cameras were set up at 32 primary sampling units (clusters of two to four cameras) throughout the park. Random locations for primary sampling units were chosen using a 3-km sampling grid over the park area. The dataset contains all species observed within the study time-frame, the date and time of observation and the number of individuals detected as well as identification for individual locations, cameras and images. Of the three target species of conservation concern (Pacific fisher (Pekania pennanti), Pacific marten (Martes...
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This data set describes the predicted daily climate (temperature and rainfall) for low, mid, and high-elevations on Mona Loa, Island of Hawaii from 2098-2100. Climate predictions are based on 3 alternative climate scenarios (RCP 4.5, A1B, and RCP 8.5) - see Liao et al. 2015 for more details and climate references. The predicted daily risk of susceptible Hawaiian honeycreepers are based on the daily climate data, mosquito abundance and other factors. Also see Samuel et al. 2011 The dynamics, transmission, and population impacts of avian malaria in native Hawaiian birds: a modeling approach. Ecological Applications 21:2960-2973 for description of the epidemiological model used for avian malaria risk predictions.
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This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped into 18 classes. Overall accuracy, generated internally through bootstrapping, was 75.5%. A series of post-modeling steps brought the final number of land cover classes to 28.
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Training points collected in the field between 2012 and 2013 were grouped into 18 classes: Forested Burn (66), Foothill Woodland Steppe Transition (73), Greasewood Flat (73), Greasewood Steppe (239), Greasewood Sage Steppe (277), Great Plains Badlands (166), Great Plains Riparian (255), Low Density Sage Steppe (776), Medium Density Sage Steppe (783), Mixed Grass Prairie (555), Mixed Grass Prairie Burned (278), Ponderosa Pine Woodland and Shrubland (512), Riparian Floodplain (223), Semi-Desert Grassland (103), Sparsely Vegetated Mixed Shrub (252), Silver Sage Flat (70) , Silver Sage Steppe (64), and Water (246). When insufficient field data were available for a class, we augmented it through photointerpretation of...
These data represent the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University
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These are the images associated with the project, including: (1) OriginalImages: original 863 images provided to West Inc from USFWS and others for model training; (2) YoloSliced: 1897 programmatically cropped original images used for training a YOLO Model (300 x 300 pixels); (3) OriginalImages_Box: 785 annotated images; (4) YoloSliced_Box: 1897 annotated sliced images.
This dataset contains mercury concentrations and locations of wintering red-legged kittiwakes in the western subartic Pacific Ocean. These data support the following publication: Fleishman, AB, RA Orben, N Kokubun, A Will, R Paredes, JT Ackerman, A Takahashi, AS Kitaysky, and SA Shaffer. 2019. Wintering in the Western Subarctic Pacific increases mercury contamination of red-legged kittiwakes. Environmental Science and Technology, in press.
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April through May (spring) and August through September (fall) locations for tule greater white-fronted geese (Anser albifrons elgasi) marked with GPS collars at Summer Lake Wildlife Area, OR in 2018 and 2019. Locations may include pre-migration and post-migration designations. Locations occurring between September 11, 2020, and arrival at, or within 50 kilometers of the Summer Lake Wildlife Area stopover location also provided with elevation information and smoke concentrations derived from the experimental HRRR-Smoke model. Median predicted smoke concentrations extrapolated from ground level through 5,000 meters also provided. These data supports the following publication: Overton, C.T., Lorenz, A.A., James,...
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These data represent an annotated training data for machine learned life history classification of the daily activity of dabbling ducks (f. Anatidae sf. Anatinae) using hourly GPS data. Each row of data represents a single GPS location for one of 5 species of dabbling duck. Note: the machine learned model was developed to be general across sf. Anatinae and does not include specific reference to the species included. That information is obtainable from the point of contact upon request. Each data record contains unique identifiers for individual bird, individual date of locations for an individual bird, and for individual location. Each record contains spatial, temporal and associated habitat information. Each record...
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Data presented are results of surveys in 2021 for San Diego Cactus Wren (Campylorhynchus brunneicapillus) in southern San Diego County. Surveys were conducted at 378 plots. Plots were surveyed twice in 2021 and the number, age (adult or juvenile), banding status (color banded or not), and breeding status (paired, unpaired, or unknown) of all wrens recorded. Habitat covariate data were collected including amount of dead and stressed cactus in the plot, percent cover of bare ground, and the dominant and percent cover of invasive species.
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Data presented are results of surveys in 2021 for Southwestern Willow Flycatcher (Empidonax traillii extimus) in San Diego County, California. Surveys were conducted at the 2016-19 nest monitoring locations (Cleveland National Forest, Rey River Ranch, and Vista Irrigation District) and at Lake Henshaw along the Upper San Luis Rey River. Surveys were conducted along multiple sections of the river where permission to access properties could be obtained. Locations were surveyed using a standardized protocol three to four times between 15 May and 31 July. The number, age (adult or juvenile), sex, banding status (color banded or not, and if so, color combination), and breeding status (paired, undetermined, or transient)...
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The data set consists of data collected in 1995, 1996, and 1997 in wetlands in the Prairie Pothole Region of North Dakota and South Dakota. The data were summarized and used in the analysis for two publications in peer-reviewed journals. The data consists of one data set that includes bird abundance and richness data, wetland class (temporary, seasonal, semipermanent, permanent, alkali), and wetland type (private or federal). In conjunction with surveys of wetland birds, the following wetland variables also were recorded: wetland size, date, local-level habitat variables (percent coverage of open water, emergent vegetation, wet meadow, and shoreline/mudflat), and landscape-level habitat variables (percent cover...
Categories: Data; Tags: Aquatic Biology, Aquatic birds, Arrowwood Wetland Management District, Audubon Wetland Management District, Biodiversity, All tags...
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Wildlife species face threats from climate and land use change, which may exacerbate how extreme climatic events influence population persistence and biodiversity. Migratory waterbirds are especially vulnerable to hydrological drought via reduced availability of surface water habitats. We assessed how whooping cranes, an endangered species in the U.S. and Canada, modified habitat use and migration strategies during drought to understand this species’ resilience to changing conditions and adaptive capacity. The data included 8,555 night-roost sites used by 145 cranes, 2010–2022, under non-drought conditions, moderate drought, and extreme drought conditions.
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In 2011 through 2013, when nests were found, notes were kept on whether it held eggs or hatchlings at the time of discovery, and how it was found. Ammodramus savannarum ammolegus (commonly referred to as the Arizona Grasshopper Sparrow) occurs in the desert and plains grasslands of southeastern Arizona, southwestern New Mexico, and northern Sonora, Mexico. Although a subspecies of conservation concern, this data was produced as part of the first intensive study of its life history and breeding ecology, providing baseline data and facilitating comparisons with other North American Grasshopper Sparrow subspecies. This study is described in the publication listed in the larger work citation of this metadata record.
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Estimated number of breeding pairs of LeConte's sparrow based on the amount of grass, trees, and/or hay in the landscape. Landscape scale varied from 1/4- to 2-mile radius depending on the species. Pair estimates were calculated for grass patches >=1 ha, extrapolated to 40-ac cells, then smoothed by averaging over a 1-mile radius. Models were based on point count surveys conducted in 2003-2005 throughout the Tallgrass Prairie Pothole Region. Point count locations were stratified by cover type, the amount of grass in the landscape, and USFWS Wetland Management District boundaries. Landcover data were derived from 2000 Thematic Mapper imagery. Grid values = number of breeding pairs per 30-m pixel.


map background search result map search result map HAPET Breeding Pairs - LeConte's sparrow Gridded SSURGO - Farmland Class (Prime/Important) Charles M. Russell National Wildlife Refuge Spot Landcover Classification in Relation to Greater Sage Grouse Training Points Predicted climate and avian malaria risk to Hawaiian honeycreepers on the Island of Hawaii from 2098-2100 Sandhill crane roosts use, channel characteristics, and environmental variables along the Platte River, Nebraska, 2003-2007 How nests found Arizona 2011-2013 Wetland birds of the Prairie Pothole Region of North and South Dakota, 1995-1997, data release Mesocarnivore Survey of Lassen Volcanic National Park, Klamath Network, 2017-2018 (ver. 2.0, April 2022) Change in mass of birds pre- and post-koa moth outbreak, Hawaii Island, 2013-2014 Tule Greater White-fronted Goose Migration Tracks (2019-2020) and Atmospheric Smoke Concentrations (2020) Hourly GPS Locations, Associated Habitat Condition, and Annotated Life History State for Training Machine Learned Models of Waterfowl Daily Activity Surveys and Monitoring of Coastal Cactus Wren in Southern San Diego County, 2021 Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys in San Diego County, California, 2021 Whooping crane stopover habitat use and migration movement data in relation to drought severity, 2010-2022 Automated Sea Duck Counts from Aerial Imagery: Imagery Files Population Plots at Two Seabird Colonies in Lower Cook Inlet, Alaska Change in mass of birds pre- and post-koa moth outbreak, Hawaii Island, 2013-2014 Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys in San Diego County, California, 2021 How nests found Arizona 2011-2013 Mesocarnivore Survey of Lassen Volcanic National Park, Klamath Network, 2017-2018 (ver. 2.0, April 2022) Population Plots at Two Seabird Colonies in Lower Cook Inlet, Alaska Predicted climate and avian malaria risk to Hawaiian honeycreepers on the Island of Hawaii from 2098-2100 Training Points Charles M. Russell National Wildlife Refuge Spot Landcover Classification in Relation to Greater Sage Grouse Wetland birds of the Prairie Pothole Region of North and South Dakota, 1995-1997, data release HAPET Breeding Pairs - LeConte's sparrow Whooping crane stopover habitat use and migration movement data in relation to drought severity, 2010-2022 Gridded SSURGO - Farmland Class (Prime/Important) Tule Greater White-fronted Goose Migration Tracks (2019-2020) and Atmospheric Smoke Concentrations (2020) Hourly GPS Locations, Associated Habitat Condition, and Annotated Life History State for Training Machine Learned Models of Waterfowl Daily Activity Automated Sea Duck Counts from Aerial Imagery: Imagery Files