Filters: Tags: Bats (X) > partyWithName: Fort Collins Science Center (X)
20 results (10ms)|
Filters
Date Range
Extensions Types Contacts
Categories Tag Types Tag Schemes |
This data release contains the North American Bat Monitoring Program (NABat) Master Sampling Grid at the 5 km x 5 km scale with biologically relevant covariates for NABat analyses attributed to each cell of the 5 km x 5 km grid frame for the continental United States. It was created using ArcPro and the 'sf', 'tidyverse', 'dplyr' and 'exactextractr' packages in R to extract covariates from multiple data sources following the 10 km x 10 km attributed grid process as well as adding additional covariates. These covariates include the habitat characteristics such as percent of wetlands, forest, deciduous and coniferous forest, dominant and subdominant oak types, the number of tree and oak species, topographic features...
These bat location estimates have been reported by Bogan and others (In press) and come in the form of a GIS shape file. Three species of nectar-feeding phyllostomid bats migrate north from Mexico into deserts of the United States (U.S.) each spring and summer to feed on blooms of columnar cacti and century plants (Agave spp). However, the habitat needs of these important desert pollinators are poorly understood. We followed the nighttime movements of two species of long-nosed bats (Leptonycteris yerbabuenae and L. nivalis) in an area of late-summer sympatry at the northern edges of their migratory ranges. We radiotracked bats in extreme southwestern New Mexico during 22 nights over two summers and acquired location...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Animas Mountains,
Big Hatchet Mountains,
Chihuahuan Desert,
Chiroptera,
Desert Southwest,
The dataset is comprised of historical observations and predictions of winter colony counts at known sites for three bat species (little brown bat, Myotis lucifugus; tricolored bat, Perimyotis subflavus; and big brown bat, Eptesicus fuscus). The dataset consists of two separate but related data files in tabular format (comma-separated values [.csv]). Each data set consists of predicted winter counts derived using winter status and trends modeling methods developed by the North American Bat Monitoring Program (NABat). These two predicted winter count data sets were used to inform NABat summertime status and trends analysis: 1) modeled abundance predictions for all hibernacula for all three species from 2010-2021,...
Categories: Data;
Tags: Abundance,
Ecology,
Hibernacula,
USGS Science Data Catalog (SDC),
United States and Canada,
This data release includes video files and image-processing results used to conduct the analyses of hibernation patterns in groups of bats reported by Hayman et al. (2017), "Long-term video surveillance and automated analyses reveal arousal patterns in groups of hibernating bats.” Thermal-imaging surveillance video cameras were used to observe little brown bats (Myotis lucifugus) in a cave in Virginia and Indiana bats (M. sodalis) in a cave in Indiana during three winters between 2011 and 2014. There are 740 video files used for analysis (‘Analysis videos’), organized into 7 folders by state/site and winter. Total size of the video data set is 14.1 gigabytes. Each video file in this analysis set represents one...
Categories: Data;
Types: Citation;
Tags: Autocorrelation,
Gap Cave,
Indiana,
USGS Science Data Catalog (SDC),
Virginia,
This shapefile represents the offshore grid-based sampling frame intended for use with the North American Bat Monitoring Program (NABat). The grid consists of 10 km x 10 km cells spanning the oceanic waters surrounding Mexico.
Through the North American Bat Monitoring Program, Bat Conservation International and U.S Geological Survey (USGS) provided technical and science support to assistance in U.S. Fish and Wildlife Service Species Status Assessment ("SSA") for the northern long-eared bat (Myotis septentrionalis), little brown bat (Myotis lucifugus), and tri-colored bat (Perimyotis subflavus). USGS facilitated the SSA data call providing data archival for repeatable and transparent analyses, provided statistical support to assess the historical, current, an future population status for each of the three species, and developed a demographic projection tool to evaluate future viability of each species under multiple threat scenarios. We...
Categories: Data;
Tags: Ecology,
North America,
USGS Science Data Catalog (SDC),
USGS-EMA-LOW-IS White-Nose Syndrome,
USGS-EMA-LOW-SB SMC: Bats,
Bats play crucial ecological roles and provide valuable ecosystem services, yet many populations face serious threats from various ecological disturbances. The North American Bat Monitoring Program (NABat) aims to assess status and trends of bat populations while developing innovative and community-driven conservation solutions using its unique data and technology infrastructure. To support scalability and transparency in the NABat acoustic data pipeline, we developed a fully-automated machine-learning algorithm. This dataset includes audio files of bat echolocation calls that were considered to develop V1.0 of the NABat machine-learning algorithm, however the test set (i.e., holdout dataset) has been excluded from...
Categories: Data;
Tags: North America,
USGS Science Data Catalog (SDC),
Wildlife Biology,
Wildlife Disease,
bats,
These data contain the results from the North American Bat Monitoring Program's (NABat) integrated species distribution model (iSDM) for tricolored bats (Perimyotis subflavus). The provided tabular data include predictions (with uncertainty) for tricolored bat occupancy probabilities (i.e., probability of presence) based on data from the entire summer season (May 1–Aug 31), averaged from 2017-2022, in each NABat grid cell (5km x 5km scale) across the range of the species. Specifically, predictions represent occupancy probabilities in the pre-volancy season in the summer (May 1 – July 15), i.e., the period of time before juveniles can fly and become detectable. Predictions were produced using an analytical pipeline...
Categories: Data;
Tags: Continental United States,
Ecology,
Occupancy probability,
Species distribution model,
USGS Science Data Catalog (SDC),
The table illustrates global patterns of betacoronavirus (β-CoV) associations in bats. The table lists bat species in which betacoronaviruses (β-CoVs) were detected, organized by viral subgenera and clade [for Sarbecorviruses], bat family, bat suborder, and general global region where the species of bat occurs. Reference to the published literature sources of information for each row are listed in the last column.
This shapefile represents the offshore grid-based sampling frame intended for use with the North American Bat Monitoring Program (NABat). The grid consists of 10 km x 10 km cells spanning the oceanic waters surrounding Alaska and Canada.
This shapefile represents the offshore grid-based sampling frame intended for use with the North American Bat Monitoring Program (NABat). The grid consists of 10 km x 10 km cells spanning the oceanic waters surrounding Hawaii.
Through the North American Bat Monitoring Program, Bat Conservation International and U.S. Geological Survey (USGS) collaborated with the U.S. Fish and Wildlife Service to provided technical and science support to assistance in U.S. Fish and Wildlife Services’ Species Status Assessment (“SSA”) for the northern long-eared bat (Myotis septentrionalis), little brown bat (Myotis lucifugus), and tri-colored bat (Perimyotis subflavus). We conducted analyses to estimate changes in bat echolocation activity recorded during mobile transect surveys. Bat activity recorded during mobile acoustic transects provide an index of abundance and can be used to determine changes in populations over time (Roche et al. 2011, Jones et...
This shapefile represents the offshore grid-based sampling frame intended for use with the North American Bat Monitoring Program (NABat). The grid consists of 10 km x 10 km cells spanning the oceanic waters in the Caribbean Sea.
Acoustic monitoring stations were comprised of Wildlife Acoustics SMBAT2+ bat detectors powered by a 6v 36 AH (Powersonic, Model PS-6062NB) external battery and charged by a 6v solar panel (Brunton Solarflat) with a 6/12 voltage regulator (Rogue Engineering Inc.). Detectors were programmed to turn on at 1800 hours and monitor continuously throughout the night when triggered automatically by echolocating bats. Detectors stopped recording at 0600 hours the following morning. In general, most data were recorded in a zero crossing file format to allow for larger volumes to be recorded nightly over time. Acoustic monitoring was conducted only at Pinenut (PNUT) and Arizona 1 (AZ1) uranium mines where impacts to detectors...
This data release contains the results from the North American Bat Monitoring Program's report titled 'Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019'. Specifically, these data include tabular data and geospatial data for the species-specific results related to the status and trends of 12 bat species at multiple spatial scales including: 10 km x 10 km grid cells, state/province/territories, and range-wide across the geographic extent of monitoring data for each species (i.e., across 'modeled species ranges'). They were produced using an analytical pipeline supported by web-based infrastructure for integrating continental scale bat monitoring data (stationary acoustic, mobile acoustic,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Bats,
Biota,
Canada,
Continental United States,
Bats of the genus Lasiurus occur throughout the Americas and have diversified into at least 20 species among three subgenera. The hoary bat (Lasiurus cinereus, or synonymously, Aeorestes cinereus) is highly migratory and ranges farther across North America than any other wild mammal. Despite the ecological importance of this species as a major insect predator, and the particular susceptibility of lasiurine bats to wind turbine strikes, our understanding of hoary bat ecology, physiology, and behavior remains poor. To better understand adaptive evolution in this lineage, we used whole-genome sequencing to identify protein-coding sequence and explore signatures of positive selection. Gene models were predicted with...
The dataset consists of sets of orthologous gene sequences obtained from the National Center for Biotechnology Information (NCBI, www.ncbi.nlm.nih.gov) and from Cornman and Cryan (2022). Sequences derive from twelve bat species that are representative of bat diversity and for which high-quality gene models have been annotated. Each gene set was codon aligned and subsequently trimmed as needed for evolutionary analysis.
Hoary bats are among the bat species most commonly killed by turbine strikes in the midwestern United States. The impact of this mortality on species census size is not understood, due in part to the difficulty of estimating population size for this highly migratory and elusive species. Genetic effective population size (Ne) could provide an index of census population size if other factors affecting Ne are stable. In support of this and other population-genetic studies, we analyzed two temporally spaced cohorts: 96 hoary bats collected in 2009-2010 and an additional 96 collected in 2017-2018. Samples consisted of wing clips removed from archived carcasses and were obtained by agreement from the U.S. Fish and Wildlife...
This shapefile represents the offshore grid-based sampling frame intended for use with the North American Bat Monitoring Program (NABat). The grid consists of 10 km x 10 km cells spanning the oceanic waters surrounding the continental United States.
These data consist of several discrete data resources captured at the Ivanpah Solar Electric Generating System (ISEGS) during 2014. The data include 1) Thermal (infrared) data recordings 2) Tabular data representing insect (invertebrate) measurements 3) Radar data 4) Video files These data support the following publication: Diehl, R. H, E. W. Valdez, T. M. Preston, M. J. Wellik, and P. M. Cryan. 2016. Evaluating the effectiveness of wildlife detection and observation technologies at a solar power tower facility. PLOS ONE.
|
|
