Attributed North American Bat Monitoring Program (NABat) 5km x 5km Master Sample and Grid-Based Sampling Frame
Dates
Publication Date
2023-09-01
Start Date
2012-05-01
End Date
2022-08-31
Citation
Gaulke, S.M., Tousley, F.C, Udell, B.J., Straw, B.R., and Reichert, B.E., 2023, Attributed North American Bat Monitoring Program (NABat) 5km x 5km Master Sample and Grid-Based Sampling Frame: U.S. Geological Survey data release, https://doi.org/10.5066/P9BPRLVL.
Summary
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 such as physiographic [...]
Summary
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 such as physiographic diversity, elevation, and the presence of karst terrain features or water feature, climate variables such as mean temperature and precipitation, and subterranean human structures such as the number and length of culverts. This layer provides the predictive covariates used in the integrated species distribution model for tricolored bats (Perimyotis subflavus, see External Related Resources). The attributed grid can also support future modeling efforts and data visualizations.
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GRTS_5km_attrib_metadata.xml Original FGDC Metadata
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45.7 KB
application/fgdc+xml
GRTS_5km_covariates.zip
37.99 MB
application/zip
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.
The attributed grid was used to provide predictive covariates for tricolored bat distributions at the 5km scale. The same predictors could also be used in future NABat analyses as covariates on bat species occupancy and/or abundance. Finally, it can also be used to aid visualization of bat occupancy.
