1
|
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:S0169-5347(24)00118-6. [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] [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.
Collapse
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
| |
Collapse
|
2
|
Tumulty JP, Miller SE, Van Belleghem SM, Weller HI, Jernigan CM, Vincent S, Staudenraus RJ, Legan AW, Polnaszek TJ, Uy FMK, Walton A, Sheehan MJ. Evidence for a selective link between cooperation and individual recognition. Curr Biol 2023; 33:5478-5487.e5. [PMID: 38065097 PMCID: PMC11074921 DOI: 10.1016/j.cub.2023.11.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 09/05/2023] [Accepted: 11/15/2023] [Indexed: 12/21/2023]
Abstract
The ability to recognize others is a frequent assumption of models of the evolution of cooperation. At the same time, cooperative behavior has been proposed as a selective agent favoring the evolution of individual recognition abilities. Although theory predicts that recognition and cooperation may co-evolve, data linking recognition abilities and cooperative behavior with evidence of selection are elusive. Here, we provide evidence of a selective link between individual recognition and cooperation in the paper wasp Polistes fuscatus through a combination of clinal, common garden, and population genomics analyses. We identified latitudinal clines in both rates of cooperative nesting and color pattern diversity, consistent with a selective link between recognition and cooperation. In behavioral experiments, we replicated previous results demonstrating individual recognition in cooperative and phenotypically diverse P. fuscatus from New York. In contrast, wasps from a less cooperative and phenotypically uniform Louisiana population showed no evidence of individual recognition. In a common garden experiment, groups of wasps from northern populations formed more stable and individually biased associations, indicating that recognition facilitates group stability. The strength of recent positive selection on cognition-associated loci likely to mediate individual recognition is substantially greater in northern compared with southern P. fuscatus populations. Collectively, these data suggest that individual recognition and cooperative nesting behavior have co-evolved in P. fuscatus because recognition helps stabilize social groups. This work provides evidence of a specific cognitive phenotype under selection because of social interactions, supporting the idea that social behavior can be a key driver of cognitive evolution.
Collapse
Affiliation(s)
- James P Tumulty
- Laboratory for Animal Social Evolution and Recognition, Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA.
| | - Sara E Miller
- Laboratory for Animal Social Evolution and Recognition, Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA; Department of Biology, University of Missouri-St. Louis, St. Louis, MO 63121, USA
| | - Steven M Van Belleghem
- Ecology, Evolution and Conservation Biology, Biology Department, KU Leuven, 3000 Leuven, Belgium
| | - Hannah I Weller
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912, USA
| | - Christopher M Jernigan
- Laboratory for Animal Social Evolution and Recognition, Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA
| | - Sierra Vincent
- Laboratory for Animal Social Evolution and Recognition, Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA
| | - Regan J Staudenraus
- Laboratory for Animal Social Evolution and Recognition, Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA
| | - Andrew W Legan
- Laboratory for Animal Social Evolution and Recognition, Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA
| | | | - Floria M K Uy
- Laboratory for Animal Social Evolution and Recognition, Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA; Department of Biology, University of Rochester, Rochester, NY 14627, USA
| | - Alexander Walton
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
| | - Michael J Sheehan
- Laboratory for Animal Social Evolution and Recognition, Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA.
| |
Collapse
|
3
|
Smeele SQ, Senar JC, Aplin LM, McElreath MB. Evidence for vocal signatures and voice-prints in a wild parrot. ROYAL SOCIETY OPEN SCIENCE 2023; 10:230835. [PMID: 37800160 PMCID: PMC10548090 DOI: 10.1098/rsos.230835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 09/04/2023] [Indexed: 10/07/2023]
Abstract
In humans, identity is partly encoded in a voice-print that is carried across multiple vocalizations. Other species also signal vocal identity in calls, such as shown in the contact call of parrots. However, it remains unclear to what extent other call types in parrots are individually distinct, and whether there is an analogous voice-print across calls. Here we test if an individual signature is present in other call types, how stable this signature is, and if parrots exhibit voice-prints across call types. We recorded 5599 vocalizations from 229 individually marked monk parakeets (Myiopsitta monachus) over a 2-year period in Barcelona, Spain. We examined five distinct call types, finding evidence for an individual signature in three. We further show that in the contact call, while birds are individually distinct, the calls are more variable than previously assumed, changing over short time scales (seconds to minutes). Finally, we provide evidence for voice-prints across multiple call types, with a discriminant function being able to predict caller identity across call types. This suggests that monk parakeets may be able to use vocal cues to recognize conspecifics, even across vocalization types and without necessarily needing active vocal signatures of identity.
Collapse
Affiliation(s)
- Simeon Q. Smeele
- Cognitive and Cultural Ecology Research Group, Max Planck Institute of Animal Behavior, Radolfzell, Germany
- Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Biology, University of Konstanz, Konstanz, Germany
| | | | - Lucy M. Aplin
- Cognitive and Cultural Ecology Research Group, Max Planck Institute of Animal Behavior, Radolfzell, Germany
- Department of Evolutionary Biology and Environmental Science, University of Zurich, Zurich, Switzerland
- Division of Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, Australia
| | - Mary Brooke McElreath
- Cognitive and Cultural Ecology Research Group, Max Planck Institute of Animal Behavior, Radolfzell, Germany
- Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| |
Collapse
|
4
|
Smith-Vidaurre G, Pérez-Marrufo V, Hobson EA, Salinas-Melgoza A, Wright TF. Individual identity information persists in learned calls of introduced parrot populations. PLoS Comput Biol 2023; 19:e1011231. [PMID: 37498847 PMCID: PMC10374045 DOI: 10.1371/journal.pcbi.1011231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 06/01/2023] [Indexed: 07/29/2023] Open
Abstract
Animals can actively encode different types of identity information in learned communication signals, such as group membership or individual identity. The social environments in which animals interact may favor different types of information, but whether identity information conveyed in learned signals is robust or responsive to social disruption over short evolutionary timescales is not well understood. We inferred the type of identity information that was most salient in vocal signals by combining computational tools, including supervised machine learning, with a conceptual framework of "hierarchical mapping", or patterns of relative acoustic convergence across social scales. We used populations of a vocal learning species as a natural experiment to test whether the type of identity information emphasized in learned vocalizations changed in populations that experienced the social disruption of introduction into new parts of the world. We compared the social scales with the most salient identity information among native and introduced range monk parakeet (Myiopsitta monachus) calls recorded in Uruguay and the United States, respectively. We also evaluated whether the identity information emphasized in introduced range calls changed over time. To place our findings in an evolutionary context, we compared our results with another parrot species that exhibits well-established and distinctive regional vocal dialects that are consistent with signaling group identity. We found that both native and introduced range monk parakeet calls displayed the strongest convergence at the individual scale and minimal convergence within sites. We did not identify changes in the strength of acoustic convergence within sites over time in the introduced range calls. These results indicate that the individual identity information in learned vocalizations did not change over short evolutionary timescales in populations that experienced the social disruption of introduction. Our findings point to exciting new research directions about the robustness or responsiveness of communication systems over different evolutionary timescales.
Collapse
Affiliation(s)
- Grace Smith-Vidaurre
- Department of Biology, New Mexico State University, Las Cruces, New Mexico, United States of America
- Laboratory of Neurogenetics of Language, Rockefeller University, New York, New York, United States of America
- Rockefeller University Field Research Center, Millbrook, New York, United States of America
- Department of Biological Sciences, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Valeria Pérez-Marrufo
- Department of Biology, New Mexico State University, Las Cruces, New Mexico, United States of America
- Department of Biology, Syracuse University, Syracuse, New York, United States of America
| | - Elizabeth A. Hobson
- Department of Biological Sciences, University of Cincinnati, Cincinnati, Ohio, United States of America
| | | | - Timothy F. Wright
- Department of Biology, New Mexico State University, Las Cruces, New Mexico, United States of America
| |
Collapse
|
5
|
Tumulty JP, Lange ZK, Bee MA. Identity signaling, identity reception, and the evolution of social recognition in a Neotropical frog. Evolution 2021; 76:158-170. [PMID: 34778947 DOI: 10.1111/evo.14400] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 10/06/2021] [Indexed: 10/19/2022]
Abstract
Animals recognize familiar individuals to perform a variety of important social behaviors. Social recognition is often mediated by communication between signalers who produce signals that contain identity information and receivers who categorize these signals based on previous experience. We tested two hypotheses about adaptations in signalers and receivers that enable the evolution of social recognition using two species of closely related territorial poison frogs. Male golden rocket frogs (Anomaloglossus beebei) recognize the advertisement calls of conspecific territory neighbors and display a "dear enemy effect" by responding less aggressively to neighbors than strangers, whereas male Kai rocket frogs (Anomaloglossus kaiei) do not. Our results did not support the identity signaling hypothesis: both species produced advertisement calls that contain similar amounts of identity information. Our results did support the identity reception hypothesis: both species exhibited habituation of aggression to playbacks simulating the arrival of a new neighbor, but only golden rocket frogs showed renewed aggression when they subsequently heard calls from a different male. These results suggest that an ancestral mechanism of plasticity in aggression common among frogs has been modified through natural selection to be specific to calls of individual males in golden rocket frogs, enabling a social recognition system.
Collapse
Affiliation(s)
- James P Tumulty
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, 55108.,Current Address: Department of Neurobiology and Behavior, Cornell University, Ithaca, New York, 14853
| | - Zachary K Lange
- Department of Biology, University of Texas at Arlington, Arlington, Texas, 76019
| | - Mark A Bee
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, 55108.,Graduate Program in Neuroscience, University of Minnesota, Minneapolis, Minnesota, 55455
| |
Collapse
|