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A field observation method to characterize site soundscape and improve detection probability estimation for eastern bat species in North America

A field observation method to characterize site soundscape and improve detection probability estimation for eastern bat species in North America

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Authors

Daniel Peacock, Sihao Chen, Jorge Rivera, Kevin A Parker, Katherine Caldwell-Etchison, Matina C Kalcounis-Rueppell, Han Li 

Abstract

Acoustic monitoring of bat activity has become increasingly prevalent in recent years. A major challenge is imperfect detection caused by bat behavior and the physical soundscape. Although environmental factors such as weather are commonly considered to account for imperfect detection, there is a lack of an easy-to-use, widely applicable protocol for characterizing soundscapes. We introduce a field-based observation method requiring minimal training to characterize the soundscape. Results from two case studies demonstrate that, in both temperate forest and grassland ecosystems, our soundscape measures better explained imperfect detection than weather conditions for eastern bat species in North America. We emphasize that soundscape characteristics should be considered when selecting acoustic monitoring sites and incorporated into quantitative analyses of ecological processes.

DOI

https://doi.org/10.32942/X2T99K

Subjects

Environmental Monitoring, Environmental Sciences, Natural Resources and Conservation

Keywords

Bats, detection probability, forest, grassland, hierarchical occupancy models, NABat, North America, passive acoustic monitoring, soundscape

Dates

Published: 2026-10-27 15:53

Last Updated: 2026-10-27 15:53

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data and Code Availability Statement:
Open data/code are not available due to sensitive information (locations of endangered species). Buffered data (10km buffer) is archived on the North American Bat Monitoring Program database (https://sciencebase.usgs.gov/nabat/#/explore)

Language:
English

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Downloads: 6