Frog Phonics: Capturing the Chorus of Vernal Pools with AudioMoths

Bird surveys are commonly actively performed using point count techniques; however, more recently, passive acoustics have become a complementary method to evaluate species richness and trends across microhabitats. Traditional methods like point counts may lead to biases in data records depending on...

Full description

Bibliographic Details
Main Authors: Bates, Madelyne, Bray, Cassandra, Koblensky, Isabelle, Baran, Mark, Garneau, Danielle
Format: Still Image
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/20.500.12648/16106
_version_ 1826775476084932608
author Bates, Madelyne
Bray, Cassandra
Koblensky, Isabelle
Baran, Mark
Garneau, Danielle
author_facet Bates, Madelyne
Bray, Cassandra
Koblensky, Isabelle
Baran, Mark
Garneau, Danielle
author_sort Bates, Madelyne
collection SUNY Open Access Repository (SOAR - State University of New York)
description Bird surveys are commonly actively performed using point count techniques; however, more recently, passive acoustics have become a complementary method to evaluate species richness and trends across microhabitats. Traditional methods like point counts may lead to biases in data records depending on the researcher's experience level. Autonomous recording devices (ARU), such as AudioMoths, are an affordable method for those studying avifauna to add to their toolbox. Confidence in rare species identification may increase by being able to leave AudioMoths out for a longer duration than feasible with traditional point counts and the ease with which artificial intelligence program workflows can attempt species confirmation. In the fall of 2024, we performed both passive (ARU) and active (point count) avifauna surveys across three microhabitats (e.g., wetland, forest, meadow) at Point au Roche State Park. Our active surveying method used binoculars and Merlin Bird ID to help identify species for three-10-minute intervals during each visit. Our passive surveying method used AudioMoths to record vocalizations deployed for seven days, recording during peak hours from 20:00-8:00. BirdNet-Analyzer was used to identify vocalizations from audio files. Species richness was greatest in the meadow (51) and wetland (47) and least in the forest (27). Merlin Bird ID recorded black-capped chickadee (Poecile atricapillus), Canada goose (Branta canadensis), northern cardinal (Cardinalis cardinalis), blue jay (Cyanocitta cristata), and downy woodpeckers (Picoides pubescens) across the sites. The American crow (Corvus brachyrhynchos) and barred owl (Strix varia) called abundantly at the wetland (43%) and the meadow (36%) sites, while the forest site was more limited. Avian community similarity was greatest between the wetland and meadow (64%) microhabitats. Other notable species observed are stripe-faced meadow katydid (Orchelimum concinnum), wood frog (Lithobates sylvaticus), and spring peeper (Pseudacris crucifer). We highlight the ...
format Still Image
genre Branta canadensis
Canada Goose
genre_facet Branta canadensis
Canada Goose
geographic Canada
Stripe
geographic_facet Canada
Stripe
id ftstatunivnysoar:oai:soar.suny.edu:20.500.12648/16106
institution Open Polar
language English
long_lat ENVELOPE(9.914,9.914,63.019,63.019)
op_collection_id ftstatunivnysoar
op_doi https://doi.org/20.500.12648/16106
op_relation http://hdl.handle.net/20.500.12648/16106
op_rights Attribution-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nd/4.0/
publishDate 2024
record_format openpolar
spelling ftstatunivnysoar:oai:soar.suny.edu:20.500.12648/16106 2025-03-16T15:25:23+00:00 Frog Phonics: Capturing the Chorus of Vernal Pools with AudioMoths Bates, Madelyne Bray, Cassandra Koblensky, Isabelle Baran, Mark Garneau, Danielle Fall 2024 https://hdl.handle.net/20.500.12648/16106 en_US eng http://hdl.handle.net/20.500.12648/16106 Attribution-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nd/4.0/ autonomous acoustic device herpetofauna vernal pools microhabitat biophony soundscape frogs Audiomoth BirdNet-Analyzer artificial intelligence Poster 2024 ftstatunivnysoar https://doi.org/20.500.12648/16106 2025-02-14T00:44:26Z Bird surveys are commonly actively performed using point count techniques; however, more recently, passive acoustics have become a complementary method to evaluate species richness and trends across microhabitats. Traditional methods like point counts may lead to biases in data records depending on the researcher's experience level. Autonomous recording devices (ARU), such as AudioMoths, are an affordable method for those studying avifauna to add to their toolbox. Confidence in rare species identification may increase by being able to leave AudioMoths out for a longer duration than feasible with traditional point counts and the ease with which artificial intelligence program workflows can attempt species confirmation. In the fall of 2024, we performed both passive (ARU) and active (point count) avifauna surveys across three microhabitats (e.g., wetland, forest, meadow) at Point au Roche State Park. Our active surveying method used binoculars and Merlin Bird ID to help identify species for three-10-minute intervals during each visit. Our passive surveying method used AudioMoths to record vocalizations deployed for seven days, recording during peak hours from 20:00-8:00. BirdNet-Analyzer was used to identify vocalizations from audio files. Species richness was greatest in the meadow (51) and wetland (47) and least in the forest (27). Merlin Bird ID recorded black-capped chickadee (Poecile atricapillus), Canada goose (Branta canadensis), northern cardinal (Cardinalis cardinalis), blue jay (Cyanocitta cristata), and downy woodpeckers (Picoides pubescens) across the sites. The American crow (Corvus brachyrhynchos) and barred owl (Strix varia) called abundantly at the wetland (43%) and the meadow (36%) sites, while the forest site was more limited. Avian community similarity was greatest between the wetland and meadow (64%) microhabitats. Other notable species observed are stripe-faced meadow katydid (Orchelimum concinnum), wood frog (Lithobates sylvaticus), and spring peeper (Pseudacris crucifer). We highlight the ... Still Image Branta canadensis Canada Goose SUNY Open Access Repository (SOAR - State University of New York) Canada Stripe ENVELOPE(9.914,9.914,63.019,63.019)
spellingShingle autonomous acoustic device
herpetofauna
vernal pools
microhabitat
biophony
soundscape
frogs
Audiomoth
BirdNet-Analyzer
artificial intelligence
Bates, Madelyne
Bray, Cassandra
Koblensky, Isabelle
Baran, Mark
Garneau, Danielle
Frog Phonics: Capturing the Chorus of Vernal Pools with AudioMoths
title Frog Phonics: Capturing the Chorus of Vernal Pools with AudioMoths
title_full Frog Phonics: Capturing the Chorus of Vernal Pools with AudioMoths
title_fullStr Frog Phonics: Capturing the Chorus of Vernal Pools with AudioMoths
title_full_unstemmed Frog Phonics: Capturing the Chorus of Vernal Pools with AudioMoths
title_short Frog Phonics: Capturing the Chorus of Vernal Pools with AudioMoths
title_sort frog phonics: capturing the chorus of vernal pools with audiomoths
topic autonomous acoustic device
herpetofauna
vernal pools
microhabitat
biophony
soundscape
frogs
Audiomoth
BirdNet-Analyzer
artificial intelligence
topic_facet autonomous acoustic device
herpetofauna
vernal pools
microhabitat
biophony
soundscape
frogs
Audiomoth
BirdNet-Analyzer
artificial intelligence
url https://hdl.handle.net/20.500.12648/16106