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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.
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...
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,
Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were captured and tracked back to roosting locations on Hawaiʻi Island from 2018-2021. We examined resource selection at multiple spatial scales - perch location within a roost tree, roost tree, and forest stand. We used a discrete choice modeling approach to investigate roost selection and describe attributes of day-roost trees including those used as maternity roosts. ‘Ōpe‘ape‘a were found roosting in a variety of tree species and in an assortment of habitat types including native and non-native habitats. This data release consists of six tabular datasets: (1) Hawaiʻi Island ʻōpeʻapeʻa roost perch metrics, 2019–2021, (2) Hawai‘i Island ʻōpeʻapeʻa roost tree metrics,...
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.
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,
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 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,
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,
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.
Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were captured and tracked back to roosting locations on Hawaiʻi Island. Roost tree metrics were measured and collected from 2018 to 2021. We observed a total of 56 roost trees used by 46 bats (18 female; 25 male; 3 unknown). This data file includes data pertaining to roost tree metrics including, height, diameter at breast height (DBH), tree species, canopy cover, and habitat classification.
North American bats have experienced catastrophic population declines from white-nose syndrome (WNS), a fungal disease caused by Pseudogymnoascus destructans (Pd). Although Pd can infect many hibernating bat species, population-level impacts of WNS vary by host species. Microbial skin assemblages, including the fungal component (mycobiome), can influence host resistance to infectious diseases; however, little is known about the influence the skin mycobiome of bats may have on susceptibility to WNS. We sampled ten bat species in the eastern United States that are known to be either susceptible, tolerant, or resistant to WNS by swabbing their wing skin. We then cultured fungi from the swabs, isolated morphologically...
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