Continuous Real-Time Acoustic Monitoring of endangered bird species in Hawai‘i

The decline of endemic bird species in Hawai‘i requires innovative conservation measures enabled by passive acoustic monitoring (PAM). This paper describes a novel real-time PAM system used in the Pōhakuloa Training Area (PTA) to reduce wildlife collisions and minimize disruptions to military operat...

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Main Authors: Melissa Weidlich-Rau, Amanda K. Navine, Patrick T. Chaopricha, Felix Günther, Stefan Kahl, Thomas Wilhelm-Stein, Raymond C. Mack, Hendrik Reers, Aaron N. Rice, Maximilian Eibl, Patrick J. Hart, Patrick Wolff, Holger Klinck, Lena D. Schnell, Rogelio Doratt, Michael Loquet, Tiana Lackey
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Ecological Informatics
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Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125001116
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author Melissa Weidlich-Rau
Amanda K. Navine
Patrick T. Chaopricha
Felix Günther
Stefan Kahl
Thomas Wilhelm-Stein
Raymond C. Mack
Hendrik Reers
Aaron N. Rice
Maximilian Eibl
Patrick J. Hart
Patrick Wolff
Holger Klinck
Lena D. Schnell
Rogelio Doratt
Michael Loquet
Tiana Lackey
author_facet Melissa Weidlich-Rau
Amanda K. Navine
Patrick T. Chaopricha
Felix Günther
Stefan Kahl
Thomas Wilhelm-Stein
Raymond C. Mack
Hendrik Reers
Aaron N. Rice
Maximilian Eibl
Patrick J. Hart
Patrick Wolff
Holger Klinck
Lena D. Schnell
Rogelio Doratt
Michael Loquet
Tiana Lackey
author_sort Melissa Weidlich-Rau
collection DOAJ
description The decline of endemic bird species in Hawai‘i requires innovative conservation measures enabled by passive acoustic monitoring (PAM). This paper describes a novel real-time PAM system used in the Pōhakuloa Training Area (PTA) to reduce wildlife collisions and minimize disruptions to military operations while ensuring the protection of endangered bird species such as the Nēnē and ‘Akē‘akē. The system is based on the BirdNET algorithm and was evaluated with over 16,000 soundscape recordings from Hawai‘i. The results show that the model version HI V2.0, based on BirdNET and specifically adapted to Hawaiian bird species, showed the clearest separation between true and false positive detections (average precision 49% to 52%), although this difference was not statistically significant. However, accuracy varied considerably between species and locations, emphasizing the need to adapt the models to the specific conditions of use. A novel web application allows immediate visualization of the predicted bird species, facilitating the implementation of conservation measures. The three acoustic monitoring units installed at the PTA in January 2023 demonstrate the system’s potential for continuous monitoring and protection of Hawaiian endangered bird species.
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spelling doaj-art-dc2a9fd7c9b541d596c59d060f0366b92025-08-20T03:10:29ZengElsevierEcological Informatics1574-95412025-07-018710310210.1016/j.ecoinf.2025.103102Continuous Real-Time Acoustic Monitoring of endangered bird species in Hawai‘iMelissa Weidlich-Rau0Amanda K. Navine1Patrick T. Chaopricha2Felix Günther3Stefan Kahl4Thomas Wilhelm-Stein5Raymond C. Mack6Hendrik Reers7Aaron N. Rice8Maximilian Eibl9Patrick J. Hart10Patrick Wolff11Holger Klinck12Lena D. Schnell13Rogelio Doratt14Michael Loquet15Tiana Lackey16Chemnitz University of Technology, Germany; Corresponding author.Listening Observatory for Hawaiian Ecosystems, University of Hawai‘i at Hilo, United States of AmericaK. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, United States of AmericaChemnitz University of Technology, Germany; OekoFor GbR, GermanyChemnitz University of Technology, Germany; K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, United States of AmericaChemnitz University of Technology, GermanyK. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, United States of AmericaOekoFor GbR, GermanyK. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, United States of AmericaChemnitz University of Technology, GermanyListening Observatory for Hawaiian Ecosystems, University of Hawai‘i at Hilo, United States of AmericaU.S. Army Engineer Research and Development Center, United States of AmericaK. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, United States of AmericaCenter for Environmental Management of Military Lands, United States of AmericaCenter for Environmental Management of Military Lands, United States of AmericaCenter for Environmental Management of Military Lands, United States of AmericaU.S. Army Garrison Pōhakuloa Training Area, United States of AmericaThe decline of endemic bird species in Hawai‘i requires innovative conservation measures enabled by passive acoustic monitoring (PAM). This paper describes a novel real-time PAM system used in the Pōhakuloa Training Area (PTA) to reduce wildlife collisions and minimize disruptions to military operations while ensuring the protection of endangered bird species such as the Nēnē and ‘Akē‘akē. The system is based on the BirdNET algorithm and was evaluated with over 16,000 soundscape recordings from Hawai‘i. The results show that the model version HI V2.0, based on BirdNET and specifically adapted to Hawaiian bird species, showed the clearest separation between true and false positive detections (average precision 49% to 52%), although this difference was not statistically significant. However, accuracy varied considerably between species and locations, emphasizing the need to adapt the models to the specific conditions of use. A novel web application allows immediate visualization of the predicted bird species, facilitating the implementation of conservation measures. The three acoustic monitoring units installed at the PTA in January 2023 demonstrate the system’s potential for continuous monitoring and protection of Hawaiian endangered bird species.http://www.sciencedirect.com/science/article/pii/S1574954125001116Soundscape ecologyBioacoustic monitoring systemsWildlife protectionReal-time bird call recognitionActive learning
spellingShingle Melissa Weidlich-Rau
Amanda K. Navine
Patrick T. Chaopricha
Felix Günther
Stefan Kahl
Thomas Wilhelm-Stein
Raymond C. Mack
Hendrik Reers
Aaron N. Rice
Maximilian Eibl
Patrick J. Hart
Patrick Wolff
Holger Klinck
Lena D. Schnell
Rogelio Doratt
Michael Loquet
Tiana Lackey
Continuous Real-Time Acoustic Monitoring of endangered bird species in Hawai‘i
Ecological Informatics
Soundscape ecology
Bioacoustic monitoring systems
Wildlife protection
Real-time bird call recognition
Active learning
title Continuous Real-Time Acoustic Monitoring of endangered bird species in Hawai‘i
title_full Continuous Real-Time Acoustic Monitoring of endangered bird species in Hawai‘i
title_fullStr Continuous Real-Time Acoustic Monitoring of endangered bird species in Hawai‘i
title_full_unstemmed Continuous Real-Time Acoustic Monitoring of endangered bird species in Hawai‘i
title_short Continuous Real-Time Acoustic Monitoring of endangered bird species in Hawai‘i
title_sort continuous real time acoustic monitoring of endangered bird species in hawai i
topic Soundscape ecology
Bioacoustic monitoring systems
Wildlife protection
Real-time bird call recognition
Active learning
url http://www.sciencedirect.com/science/article/pii/S1574954125001116
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