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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.
Aeroecology focuses "on the planetary boundary layer, or aerosphere, and the myriad of organisms that, in large part, depend upon this environment for their existence" (Kunz et al. 2008). The primary mission of the Aeroecology Community is to act as a clearing house for remotely sensed data related to biological use of the aerosphere. This community aims to provide biological data collected from weather radar, portable radar, thermal imaging, and other applicable and emerging technologies.
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 data contain the supplementary results corresponding with the journal article: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends by Udell et al. (2024) in Ecological Monographs. These results contain the findings from the North American Bat Monitoring Program's (NABat) "Summer Abundance Status and Trends" analyses which used mobile transect acoustic data for three species (tricolored bat, little brown bat, and big brown bat). Data from the entire summer season (May 1–Aug 31) were used in the modeling process. Here, tabular data for each species include predictions (with uncertainty) of relative abundance (and trends over time) in the summer...
Categories: Data;
Tags: Abundance,
Ecology,
North America,
Relative abundance,
Species distribution model,
This data release contains the environmental geospatial raster data sets used to estimate summer roosting habitat for 4 species considered under the United States Forest Service proposed Bat Conservation Strategy (Myotis lucifugus, MYLU; Myotis septentrionalis, MYSE; Myotis sodalis, MYSO; and Perimyotis subflavus, PESU). This suite of environmental data was hypothesized to influence summer roost habitat suitability and were produced at a spatial resolution of 250 m per pixel.
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...
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,
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 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,
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,
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 consists of raster portable network graphics (png) images of the planned position indicator (ppi) display from a Furuno FR2127 portable radar unit to a maximum range of 1.5 km. A new image is written with each rotation of the...
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...
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,
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,
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 is comprised of the unedited digital video imagery we gathered during those site visits. There are four types of video imagery included in the data set: (1) "EMCCD camera" is the output of an electron multiplying charge-coupled-device...
These data contain the results from the North American Bat Monitoring Program's (NABat) species distribution model (SDM) for the northern long-eared bat (Myotis septentrionalis). The provided tabular data includes predictions (with upper and lower confidence intervals) for northern long-eared bat occupancy probabilities (which represent the probability of presence) based on data from the entire summer season (May 1-August 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 by...
Categories: Data;
Tags: Ecology,
Occupancy probability,
Species Distribution Model,
USGS Science Data Catalog (SDC),
Wildlife Biology,
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