Filters: Tags: Bats (X) > Categories: Data (X)
48 results (99ms)
Filters
Date Range
Extensions Types
Contacts
Categories Tag Types
|
In this observational pilot study, we worked at the largest existing solar tower facility in the world (Ivanpah Solar Electric Generating System - ISEGS) to assess the efficacy of using radar, surveillance video, and insect trapping to monitor animals flying near the towers. During week-long site visits in May and September, we monitored the airspace surrounding towers and observed insects, occasional birds, and bats under a variety of environmental and operational conditions. This dataset enumerates invertebrates captured using both malaise and funnel traps placed on the ground in the immediate vicinity of solar towers in the locations shown in Figure 2 of the associated paper. The locational information below...
Categories: Data;
Types: Citation;
Tags: Ivanpah Solar Electric Generating System,
Ivanpah Valley,
Mojave Desert,
Monitoring and Evaluation,
Solar Energy,
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,
Our model is a full-annual-cycle population model {hostetler2015full} that tracks groups of bat surviving through four seasons: breeding season/summer, fall migration, non-breeding/winter, and spring migration. Our state variables are groups of bats that use a specific maternity colony/breeding site and hibernaculum/non-breeding site. Bats are also accounted for by life stages (juveniles/first-year breeders versus adults) and seasonal habitats (breeding versus non-breeding) during each year, This leads to four states variable (here depicted in vector notation): the population of juveniles during the non-breeding season, the population of adults during the non-breeding season, the population of juveniles during the...
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,
These data are the collection of generalized linear mixed models run for AIC comparison of the pre- and post-White-nose Syndrome bat mist-net captures and percent juveniles in capture by year, time since White-nose Syndrome at collection set, U.S Fish and Wildlife Service designated geographic units, states or NABAT grid cell, collection site mean temperature, collection site temperature range and collection site elevation. Models are inclusive of data from 1999-2019 for the little brown bat (Myotis lucifugus), northern long-eared bat (Myotis septentrionalis) and the tri-colored bat (Perimyotis subflavus).
Categories: Data;
Tags: Ecology,
USGS Science Data Catalog (SDC),
United States,
Wildlife Biology,
Wildlife Disease,
Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were captured and tracked back to roosting locations on Hawaiʻi Island. Roost stand metrics were observed and collected from 2018 to 2021. We observed a total of 123 roost trees used by 90 bats (29 female; 58 male; 3 unknown). This data file includes data pertaining to roost stand metrics including, elevation, slope, canopy tree species, and mean canopy height.
This dataset includes data used to summarize trends and identify best-fit models to explain patterns in presence-absence and abundance of Pseudogymnoascus destructans (Pd) in environmental substrates and on bats within six bat hibernacula at different stages of white-nose syndrome (WNS). Data relating to environmental substrates include: dates and relative spatial locations of samples collected within study hibernacula, presence and quantity of Pd in samples based on qPCR analysis, and daily temperature parameters at each sample location on the days samples were collected. Data relating to bats include: dates and relative spatial locations of hibernating bats that were sampled, species, sex, weight(g), forearm length(mm),...
Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were surveyed at 23 sites on Hawaiʻi Island from 33 to 2,341 m elevation from May 2018 to August 2021. Of the 23 sites, 8 were established as fixed survey sites for sampling at repeated intervals from January 2019 through January 2021. We surveyed each fixed site at least once per four month period (January–April, May–August, September–December), with a survey comprising one to three netting events. Additional opportunistic surveys were conducted at alternate locations or on alternate dates. We captured 138 unique bats (37 female, 101 male) and recaptured 10 bats over 224 mist-netting events. This data file includes data pertaining to mist netting effort locations,...
‘Ōpe‘ape‘a (Hawaiian hoary bats; Lasiurus semotus) were surveyed at 23 sites on Hawaiʻi Island from 33 to 2,341 m elevation from May 2018 to August 2021. Bats were captured using mist nets; once detangled from mist nets, bats were secured in cloth holding bags for up to 10 min before collecting age, sex, reproductive condition, mass, forearm length, and biological samples and marking individuals with split ring bands and attaching very high frequency (VHF) radio transmitters. We captured 138 uniquely identified individuals (37 female, 101 male), of which 10 were recaptured (4 female, 6 male) and an additional 10 were ensnared in nets and escaped, for a total of 158. This data file includes data related to individual...
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,
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,
Measuring the Regional Impacts of Pinyon and Juniper Removal on Insect, Bat, and Reptile Communities
FY2016Monitor the diversity and abundance of winged insects (including Lepidoptera, Hymenoptera, Coleoptera, Diptera, and Hemiptera), which include many key insect pollinators, using an array of passive and active trapping methods. Monitor bat diversity and relative densities using passive acoustic monitoring stations (we will use full-spectrum passive recording units). Monitor diversity and abundance of reptiles (lizards and snakes), using trap arrays (pitfall and coverboard) and time-constrained visual encounter surveys. Create empirically supported models of reptile, bat, and insect diversity and abundance as a function of vegetation structure and composition, microclimate, and other environmental variables,...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
Datasets/Database,
Federal resource managers,
Great Basin,
Great Basin,
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
bats,
biota
Our model is a full-annual-cycle population model {hostetler2015full} that tracks groups of bat surviving through four seasons: breeding season/summer, fall migration, non-breeding/winter, and spring migration. Our state variables are groups of bats that use a specific maternity colony/breeding site and hibernaculum/non-breeding site. Bats are also accounted for by life stages (juveniles/first-year breeders versus adults) and seasonal habitats (breeding versus non-breeding) during each year, This leads to four states variable (here depicted in vector notation): the population of juveniles during the non-breeding season, the population of adults during the non-breeding season, the population of juveniles during the...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Eastern United States,
United States,
bats,
population matrix model,
white nose syndrome
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 data in the CSV file named RSF is a detailed dataset used to run the models testing relationships between movement behavior and atmospheric conditions. This dataset includes: detection date and rounded hour, status (0 or 1) showing if over-water movement occurring within nine hours was detected, number of hours since sunset, site ID of area weather station, Motus tag ID, wind speed , Temperature, precipitation, visibility, wind direction, the longitudinal component of wind speed and direction, the latitudinal component of wind speed and direction, pressure, wind speed of previous hour, temperature of previous hour, precipitation of previous hour, visibility of previous hour, wind direction of previous hour,...
Data contain zero-crossing, frequency acoustic detector locations, date to hour, species of bats recorded and identified and various wind and precipitation values associated with either day or hour for ridges,sideslopes and valleys at 5 locations in western Virginia's Appalachian Mountains.
Categories: Data;
Tags: Appalachians,
USGS Science Data Catalog (SDC),
Virginia,
Wildlife Biology,
bats,
This project has three objectives: (1) evaluate the abilitiy of dual acoustic-ultrasonic recorders to capture nocturnal calls of birds and bats at wind power sites; (2) relate nocturnal calls to results of facility searches at operational wind farms: (3) evaluate whether call activitiy varies in relation to landscape features.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2010,
2011,
2012,
2013,
Bats,
Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were captured and tracked back to roosting locations on Hawaiʻi Island. Roost perch metrics were observed and collected from 2019 to 2021. We observed a total of 69 perches used by 52 bats (16 female; 22 male; 14 unknown) within 44 roost trees. This data file includes data pertaining to roost perch locations, dates, height, canopy cover, and aspect.
|
|