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 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. • Real-time passive acoustic monitoring in the PTA detects endangered bird species. • The system uses solar energy and a fuel cell for monitoring 24/7. • BirdNET models HI V1.0 and V2.0 detect birds with over 90% accuracy. • A web application shows bird species in real-time and supports protection measures.

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Publication Details

Journal
Ecological Informatics
Published
2025-03-17
DOI
https://doi.org/10.1016/j.ecoinf.2025.103102
Citations
2
Primary Topic
Animal Vocal Communication and Behavior
Type
article
Field-Weighted Citation Impact
3.28

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article

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

P. Wolff, Felix Günther, Patrick Chaopricha, Aaron N. Rice et al.
2 citations
Ecological Informatics
Animal Vocal Communication and Behavior
3.28
article

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

P. Wolff, Felix Günther, Patrick Chaopricha, Aaron N. Rice, Amanda K. Navine, Rogelio Doratt, M Loquet, Hendrik Reers, Thomas Wilhelm-Stein, Maximilian Eibl, Holger Klinck, Raymond C. Mack, Patrick J. Hart, Lena Schnell, Stefan Kahl, Melissa Weidlich-Rau, Tiana Lackey
article en
2 citations

Abstract

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. • Real-time passive acoustic monitoring in the PTA detects endangered bird species. • The system uses solar energy and a fuel cell for monitoring 24/7. • BirdNET models HI V1.0 and V2.0 detect birds with over 90% accuracy. • A web application shows bird species in real-time and supports protection measures.

Ecological InformaticsVol. 87
United States Department of the Army (US), Cornell University (US), Chemnitz University of Technology (DE), University of Hawaii at Hilo (US), United States Army (US), Oeko Institut (DE), Military University (RU), U.S. Army Engineer Research and Development Center (US)
National Science Foundation, Arthur Vining Davis Foundations, Bundesministerium für Bildung und Forschung, Environmental Security Technology Certification Program
Life in Land
Openalex Percentile: Top 10%
Animal Vocal Communication and Behavior
3.28
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