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Knight E, Rhinehart T, de Zwaan DR, Weldy MJ, Cartwright M, Hawley SH, Larkin JL, Lesmeister D, Bayne E, Kitzes J. Individual identification in acoustic recordings. Trends Ecol Evol 2024; 39:947-960. [PMID: 38862357 DOI: 10.1016/j.tree.2024.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 05/08/2024] [Accepted: 05/15/2024] [Indexed: 06/13/2024]
Abstract
Recent advances in bioacoustics combined with acoustic individual identification (AIID) could open frontiers for ecological and evolutionary research because traditional methods of identifying individuals are invasive, expensive, labor-intensive, and potentially biased. Despite overwhelming evidence that most taxa have individual acoustic signatures, the application of AIID remains challenging and uncommon. Furthermore, the methods most commonly used for AIID are not compatible with many potential AIID applications. Deep learning in adjacent disciplines suggests opportunities to advance AIID, but such progress is limited by training data. We suggest that broadscale implementation of AIID is achievable, but researchers should prioritize methods that maximize the potential applications of AIID, and develop case studies with easy taxa at smaller spatiotemporal scales before progressing to more difficult scenarios.
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Affiliation(s)
- Elly Knight
- Department of Biological Sciences, Alberta Biodiversity Monitoring Institute, University of Alberta, Edmonton, Alberta, T6G 2E6, Canada.
| | - Tessa Rhinehart
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, 15260, USA.
| | - Devin R de Zwaan
- Department of Biology, Mount Allison University, Sackville, NB, E4L 1E4, Canada; Acadia University, Wolfville, NS, B4P 2R6, Canada
| | - Matthew J Weldy
- Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, 97331-5704, USA
| | - Mark Cartwright
- Department of Informatics, New Jersey Institute of Technology, Newark, NJ, 07102, USA
| | - Scott H Hawley
- Chemistry and Physics Department, Belmont University, Nashville, TN, 37212, USA
| | - Jeffery L Larkin
- Department of Biology, Indiana University of Pennsylvania, Indiana, PA, 15705-1081, USA; American Bird Conservancy, The Plains, VA, 20198, USA
| | - Damon Lesmeister
- USDA Forest Service, Pacific Northwest Research Station, Corvallis Forestry Science Laboratory, Oregon State University, Corvallis, OR, 97330, USA
| | - Erin Bayne
- Department of Biological Sciences, Alberta Biodiversity Monitoring Institute, University of Alberta, Edmonton, Alberta, T6G 2E6, Canada
| | - Justin Kitzes
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, 15260, USA
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Joel YH, Iniunam IA, Dami DF, Ottosson U, Chaskda AA. A comparison of the sampling effectiveness of acoustic recorder, camera trap and point count methods in sampling nocturnal birds in Afrotropical landscapes. Ecol Evol 2024; 14:e11389. [PMID: 38774133 PMCID: PMC11106587 DOI: 10.1002/ece3.11389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 04/19/2024] [Accepted: 04/25/2024] [Indexed: 05/24/2024] Open
Abstract
Conservation decisions for bird diversity in the Afrotropics are often based on ecological studies utilizing diurnal bird species likely owing to difficulties associated with sampling nocturnal birds. It is therefore important to compare the sampling effectiveness of some of the available techniques that can be used in nocturnal bird surveys to guide future long-term survey efforts. Thus, we compared the sampling effectiveness of point count, acoustic recorder and camera trap for estimating nocturnal bird species richness and also across habitat types. We surveyed 20 points that were spaced at least 500 m apart in November and December 2021 in the Amurum Forest Reserve and its surroundings in Jos-Nigeria. At each point, we used two camera traps, one at the ground and the other at 2.0 m. We also used one acoustic recorder as well as a 15-min point count during each survey at each point. We encountered 11 nocturnal bird species, primarily nightjars but also owls. While we did not encounter any species with the camera traps, all 11 species were recorded using the acoustic recorder. All species except for Ketupa lacteaus were recorded in point count. Eight species were recorded in the gallery, seven in rocky and nine in savannah. Species richness and estimation using the acoustic recorder and point count were similar across habitat types. We conclude that either point count or acoustic recorders are useful for nocturnal bird surveys in Afrotropical environments. However, the choice of methods should be based on the research questions as some questions may be better answered by a specific method or even a combination of both.
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Affiliation(s)
- Yitmwa Hope Joel
- Department of Zoology, A.P. Leventis Ornithological Research InstituteUniversity of JosJos‐EastPlateau StateNigeria
| | - Iniunam Aniefiok Iniunam
- Department of Zoology, A.P. Leventis Ornithological Research InstituteUniversity of JosJos‐EastPlateau StateNigeria
| | - Danjuma Filibus Dami
- Department of Zoology, A.P. Leventis Ornithological Research InstituteUniversity of JosJos‐EastPlateau StateNigeria
| | - Ulf Ottosson
- Department of Zoology, A.P. Leventis Ornithological Research InstituteUniversity of JosJos‐EastPlateau StateNigeria
| | - Adams Adamanyiwa Chaskda
- Department of Zoology, A.P. Leventis Ornithological Research InstituteUniversity of JosJos‐EastPlateau StateNigeria
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Selection levels on vocal individuality: strategic use or byproduct. Curr Opin Behav Sci 2022. [DOI: 10.1016/j.cobeha.2022.101140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Calcari C, Pilenga C, Baciadonna L, Gamba M, Favaro L. Long-term stability of vocal individuality cues in a territorial and monogamous seabird. Anim Cogn 2021; 24:1165-1169. [PMID: 33973095 DOI: 10.1007/s10071-021-01518-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 04/06/2021] [Accepted: 04/24/2021] [Indexed: 11/26/2022]
Abstract
The stability of individual acoustic features is fundamental in social species, and more importantly in monogamous and territorial species, showing long-term fidelity both to the partner and the breeding site. In this study, the stability over time of two discrete vocal types was investigated in the African penguin (Spheniscus demersus), a monogamous and territorial seabird. Contact calls and ecstatic display songs were recorded from an ex situ colony in 2017 and in 2020. For each vocalisation, we measured 14 spectral and temporal acoustic parameters related to both source and filter components. Two separate leave-one-out cross-validated Discriminant Function Analyses (DFA) were then performed, generating the discriminant functions from the vocalisations collected in 2017 to classify those recorded in 2020. The DFA correctly classified 62% of the contact calls (10 subjects) and 80.9% of the ecstatic display songs (seven subjects) according to the correct emitter, showing that acoustic cues to individuality encoded in both vocal types remained unchanged over four consecutive breeding seasons. We suggest that, in this monogamous and territorial bird species, individual acoustic stability could be selected for to identify groupmates and neighbours over the years and to help couples to reunite in consecutive breeding seasons, increasing individual fitness.
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Affiliation(s)
- Chiara Calcari
- Department of Environmental Biology, Sapienza University of Rome, Rome, Italy
- Department of Life Sciences and Systems Biology, University of Turin, Turin, Italy
| | | | - Luigi Baciadonna
- Department of Life Sciences and Systems Biology, University of Turin, Turin, Italy
| | - Marco Gamba
- Department of Life Sciences and Systems Biology, University of Turin, Turin, Italy
| | - Livio Favaro
- Department of Life Sciences and Systems Biology, University of Turin, Turin, Italy.
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