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

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.

Authors

Institutions

Publication Details

Published
2026-10-27
DOI
https://doi.org/10.32942/x2t99k
Primary Topic
Bat Biology and Ecology Studies
Type
preprint

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

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

Han Li, Jorge Rivera, Matina C. Kalcounis‐Rueppell, Sihao Chen et al.
1 links
Bat Biology and Ecology Studies
preprint

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

Han Li, Jorge Rivera, Matina C. Kalcounis‐Rueppell, Sihao Chen, Daniel Peacock, Kevin Parker, Katherine Caldwell-Etchison
preprint en

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.

University of Nebraska–Lincoln (US), University of Nebraska at Omaha (US), North Carolina Wildlife Resources Commission (US), Southwest University (CN), University of Alberta (CA), Alaska Department of Environmental Conservation (US), University of Alaska Southeast (US)
University of Nebraska Omaha, U.S. Fish and Wildlife Service
Life on land
Bat Biology and Ecology Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon