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The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of N total number of 10- by 10-km (100-km2) grid cell sample units for the continental United States, Canada, and Alaska and 5- by 5-km (25km2) for Hawaii and Puerto Rico. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes. A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9M00P17). This sampling design produces an ordered list of units such that...
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...
This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico. The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico. Alaska is combined with Canada into a single grid. Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions. The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency “Bat Grid” monitoring program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat)....
The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of N total number of 10- by 10-km (100-km2) grid cell sample units. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes. A draw of sample units from a finite sampling frame using the GRTS design produces an ordered list of units such that any ordered subset of that list is also randomized and spatially balanced. This vector dataset is the individual grid-based sampling grid for Continental United States at a 10x10km resolution.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Canada,
Hawaii,
Mexico,
Puerto Rico,
Through the North American Bat Monitoring Program, United States Geological Survey (USGS) provided technical and science support to assist 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). USGS facilitated the SSA data call, provided data archival for repeatable and transparent analyses, provided statistical support to assess the historical, current, and 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. These data represent the derived...
Categories: Data;
Tags: Continental United States,
Ecology,
USGS Science Data Catalog (SDC),
USGS-EMA-LOW-SB T&E: Bats,
Wildlife Biology,
The North American Bat Monitoring Program (NABat) is a multi-national, multi-agency coordinated bat monitoring program across North America. The overall NABat effort provides the biological, administrative, and statistical architecture for coordinated bat population monitoring to support regional and range-wide inferences about changes in the distributions and abundances of bat populations facing current and emerging threats. Data management and centralized data storage capabilities are integral to the success of the NABat Program. As such, the NABat Coordinating Office has developed a web-based application that provides IT infrastructure for the international monitoring program, including cloud-hosted data management...
Categories: Data
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 sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico. The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico. Alaska is combined with Canada into a single grid. Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions. The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency “Bat Grid” monitoring program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat)....
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Canada,
Hawaii,
Mexico,
Puerto Rico,
This sampling frame is a set of grid-based, finite-area frames spanning the offshore areas surrounding Canada, the United States, and Mexico, and is intended for use with the North American Bat Monitoring Program (NABat). NABat is a continental collaboration including state and provincial, federal, and local agencies intended to standardize the collection and storage of bat data. Alaskan and Canadian waters are combined into a single grid. There are 5 grids in total: Alaska/Canada Offshore grid, Continental United States Offshore grid, Mexico Offshore grid, Hawaii Offshore Grid, and Caribbean Offshore grid. Grids boundaries are based on World Exclusive Economic Zone oceanic political boundaries and extend into the...
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.
In this age of rapidly developing technology, scientific information is constantly being gathered across large spatial scales. Yet, our ability to coordinate large-scale monitoring efforts depends on development of tools that leverage and integrate multiple sources of data. North American bats are experiencing unparalleled population declines. The North American Bat Monitoring Program (NABat), a multi-national, multi-agency coordinated monitoring program, was developed to better understand the status and trends of North American bats. Similar to other large-scale monitoring programs, the ultimate success of NABat relies on a unified web-based data system. Our project successfully developed a program interface...
Categories: Project;
Tags: 2017,
All Funded Projects,
Best Practices,
Completed,
Computational Tools and Services,
False positive occupancy analysis predictions with model uncertainty based on summertime data provided to support the status assessment (SSA) for Perimyotis subflavus (PESU). The objectives outlined by the Fish and Wildlife Service’s SSA team were to estimate summertime distributions across the entire species range. Statistical analysis included five types of response data requested from the North American Bat Monitoring Program database (NABat): automatically identified stationary acoustic calls, manually vetted stationary acoustic calls, automatically identified mobile acoustic calls, manually vetted mobile acoustic calls, and capture records. Statistical analysis was for the summertime distribution modeling,...
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),
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...
Through the North American Bat Monitoring Program (NABat), United States Geological Survey (USGS) provided technical and science support to assist in U.S. Fish and Wildlife Services’ (USFWS) 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, provided data archival for repeatable and transparent analyses, provided statistical support to assess the historical, current, and 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. These data...
Categories: Data;
Tags: Ecology,
Southern Canada,
USGS Science Data Catalog (SDC),
USGS-EMA-LOW-SB T&E: Bats,
United States,
This sampling frame is a set of grid-based, finite-area frames spanning the offshore areas surrounding Canada, the United States, and Mexico, and is intended for use with the North American Bat Monitoring Program (NABat). A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9XBOCVV). The GRTS survey design algorithm assigns a spatially balanced and randomized ordering (GRTS order) to each cell within its respective framework. Grid cells are prioritized numerically; the lower the number, the higher the sampling priority. Cells can then be selected for monitoring following the GRTS order, ensuring both randomization...
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