Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 46 min ago
Peer-reviewedLicence not statedNature Methods

Automated identification of individual birds by song enables multi-year recapture from passive acoustic monitoring data

8 affiliations
  1. 1Department of Biological Sciences, University of Pittsburgh, Pittsburgh, USA
  2. 2University of Pittsburgh
  3. 3Department of Biological Sciences, University of Alberta, Edmonton, Canada
  4. 4University of Alberta
  5. 5American Bird Conservancy, Marshall, USA
  6. 6Department of Biology, Indiana University of Pennsylvania, Indiana, USA
  7. 7American Bird Conservancy
  8. 8Indiana University of Pennsylvania

Related

  1. From video to encounter histories: individual identification and machine vision for salmonid capture-recapture monitoring
    K. Karlsson
    bioRxivPreprintCC BYFull textEcologybioRxiv
  2. Individual recognition and number prediction for Manx shearwater (Puffinus puffinus) by passive acoustic monitoring
    Zhanyi Lin, Yinka Julianah Adeniji, William D Pearse +3
    EcoEvoRxivPreprintCC BY 4.0Full textBioinformatics & computational biologyEcoEvoRxiv
  3. Towards Automated Acoustic Monitoring of Threatened Birds in Tropical Forest Ecosystem Restoration
    H. X.-X. Fortune, C. Banks-Leite
    bioRxivPreprintCC BYFull textEcologybioRxiv
  4. Rationalizing the application of spatial capture-recapture versus space-to-event models for monitoring populations of an endangered social carnivore
    D. Ganguly, A. D. Sharma, U. Ramakrishnan +1
    bioRxivPreprintCC BYFull textEcologybioRxiv
  5. IoT-enabled individual poultry monitoring with lightweight step-counting for health assessment
    Xinran Sun, Wenyi Zeng, Bingqi Shi +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textPlant biologyCrossref
BibTeX
@article{lapp2026automated,
  title = {{Automated identification of individual birds by song enables multi-year recapture from passive acoustic monitoring data}},
  author = {Sam Lapp and R. Patrick Lyon and Scott J. Wilson and Tessa A. Rhinehart and Chapin Czarnecki and Lauren M. Chronister and Cameron J. Fiss and Jeffery L. Larkin and Erin M. Bayne and Justin A. Kitzes},
  journal = {Nature Methods},
  year = {2026},
  month = nov,
  doi = {10.1038/s41592-026-03303-7},
  url = {https://doi.org/10.1101/2025.06.26.661638},
}
RIS
TY  - JOUR
TI  - Automated identification of individual birds by song enables multi-year recapture from passive acoustic monitoring data
AU  - Sam Lapp
AU  - R. Patrick Lyon
AU  - Scott J. Wilson
AU  - Tessa A. Rhinehart
AU  - Chapin Czarnecki
AU  - Lauren M. Chronister
AU  - Cameron J. Fiss
AU  - Jeffery L. Larkin
AU  - Erin M. Bayne
AU  - Justin A. Kitzes
PY  - 2026
DA  - 2026/11/05
JO  - Nature Methods
DO  - 10.1038/s41592-026-03303-7
UR  - https://doi.org/10.1101/2025.06.26.661638
SN  - 1548-7091
SN  - 1548-7105
ER  -