North American Bat Monitoring Program (NABat) Bayesian Hierarchical Model for Winter Abundance: Predicted Population Estimates (2022 and 2023)

Dates

Publication Date: 2023-09-01
Start Date: 2010-01-01
End Date: 2023-04-01

Citation

Wiens, A.M., Udell, B.J., Thogmartin, W.E., Straw, B.R., Frick, W., Cheng, T., and Reichert, B.E., 2023, North American Bat Monitoring Program (NABat) Bayesian Hierarchical Model for Winter Abundance: Predicted Population Estimates (2022 and 2023): U.S. Geological Survey data release, https://doi.org/10.5066/P9L0578M.

Summary

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, and 2) modeled abundance [...]

Summary

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, and 2) modeled abundance predictions for P. subflavus from 2010-2023 using updated monitoring data. Abundance predictions were derived with a combined modeling approach that applied an exponential linear interpolation model (when there were less than 4 observations per location) and a Bayesian hierarchical model (where there were 4 or more data points per location).

Contacts

Point of Contact :: Brian E Reichert
Originator :: Ashton M. Wiens, Bradley J Udell, Wayne E Thogmartin, Bethany R Straw, Winifred Frick, Tina Cheng, Brian E Reichert
Metadata Contact :: FORT Data Management, Fort Collins Science Center
Publisher :: U.S. Geological Survey
Distributor :: U.S. Geological Survey - ScienceBase
SDC Data Owner :: Fort Collins Science Center
USGS Mission Area :: Ecosystems

Attached Files

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hib_abund_preds_3sp_2022.csv		2.79 MB	text/csv
hib_abund_preds_pesu_2023.csv		2.24 MB	text/csv
Metadata for North American Bat Monitoring Program (NABat) Winter Abundance Model, Predicted Bat Population Estimates (2022 and 2023).xml Original FGDC Metadata	View	31.73 KB	application/fgdc+xml

Related External Resources

Type: Related dataset

Udell, B.J., Stratton, C., Straw, B.R., Irvine, K.M., Reichard, J.D., Gaulke, S.M., Coleman, J.T.H., Tousley, F., Inman, R.D., Schuhmann, A.N., Shivley, R., and Reichert, B.E., 2023, North American Bat Monitoring Program (NABat) Integrated Summer Species Distribution Model: Predicted Tricolored Bat Occupancy Probabilities: U.S. Geological Survey data release, https://doi.org/10.5066/P9MV37I7	https://doi.org/10.5066/P9MV37I7

Purpose

These data provide historical population estimates of known winter colony sites for all years from 2010 to 2021 for Myotis lucifugus, Perimyotis subflavus and Eptesicus fuscus and 2010-2023 for P. subflavus. These data were used to construct "winter-to-summer population connectivity metrics" which can be used as predictors of summertime bat occurrence and abundance in status and trends analyses. The first data set with all three species was used to create winter-to-summer connectivity metrics as predictive covariates when estimating summer abundance. The second data set (including only P. subflavus) was used to inform integrated species distribution modeling for P. subflavus (see Related External Resources). These data are not intended to infer bat population trends on their own, but rather, their primary purpose is to construct winter-to-summer connectivity metrics.

North American Bat Monitoring Program (NABat) Bayesian Hierarchical Model for Winter Abundance: Predicted Population Estimates (2022 and 2023)

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