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  4. Bat occupancy model predictions for Montana from acoustic and mist net data 2008-2010

Bat occupancy model predictions for Montana from acoustic and mist net data 2008-2010

Dates

Publication Date
Start Date
2008
End Date
2010

Citation

Irvine, K.M., 2019, Bat occupancy model predictions for Montana from acoustic and mist net data 2008-2010: U.S. Geological Survey data release, https://doi.org/10.5066/P9RBBSKZ.

Summary

The spread of white-nose syndrome (WNS) across the eastern United States has raised conservation concerns and provided motivation for efforts to monitor the impacts of this disease. Currently, WNS has not yet been detected in Montana, or any other western state besides Washington, and it is unknown how severe it will impact species in this region once it arrives. Within an occupancy model framework, we analyzed mist netting and acoustic records for eight bat species in Montana to estimate baseline distributions across the state prior to the arrival of WNS. Heterogeneity in the probabilities of occupancy for each species was explained with covariates for forest cover (%), elevation, ruggedness, and average degree days. Our analysis [...]

Contacts

Point of Contact :
Kathryn M Irvine
Process Contact :
Lauri Hanauska-Brown
Originator :
Wilson J Wright
Metadata Contact :
Kathryn M Irvine
Publisher :
US Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Ecosystems
SDC Data Owner :
Northern Rocky Mountain Science Center

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Shapefile: Bat_Occupancy_Predictions_Montana_2008_2010.zip
Bat_Occupancy_Predictions_Montana_2008_2010.dbf 4.41 MB
Bat_Occupancy_Predictions_Montana_2008_2010.prj 423 Bytes
Bat_Occupancy_Predictions_Montana_2008_2010.shp 776.46 KB
Bat_Occupancy_Predictions_Montana_2008_2010.shx 31.15 KB
Bat_Occupancy_Predictions_Montana_2008_2010.xml
Original FGDC Metadata
View 		37.31 KB

Purpose

The species distribution maps resulting from this analysis can be compared to future distribution maps, after the arrival of WNS, to better understand impacts of the disease in the state. Estimates from this model can also provide guidance for future bat monitoring within the state by helping to focus surveillance efforts on areas with high predicted probabilities of occupancy or optimizing surveys to reduce uncertainty in subsequent analyses.

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  • Northern Rocky Mountain Science Center
  • USGS Data Release Products

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Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9RBBSKZ

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