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Rio R. First acoustic evidence of signature whistle production by spinner dolphins (Stenella longirostris). Anim Cogn 2023; 26:1915-1927. [PMID: 37676587 DOI: 10.1007/s10071-023-01824-8] [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: 03/03/2023] [Revised: 08/23/2023] [Accepted: 08/29/2023] [Indexed: 09/08/2023]
Abstract
A dolphin's signature whistle (SW) is a distinctive acoustic signal, issued in a bout pattern of unique frequency modulation contours; it allows individuals belonging to a given group to recognize each other and, consequently, to maintain contact and cohesion. The current study is the first scientific evidence that spinner dolphins (Stenella longirostris) produce SWs. Acoustic data were recorded at a shallow rest bay called "Biboca", in Fernando de Noronha Archipelago, Brazil. In total, 1902 whistles were analyzed; 40% (753/1,902) of them were classified as stereotyped whistles (STW). Based on the SIGID method, 63% (472/753) of all STWs were identified as SWs; subsequently, they were categorized into one of 18 SW types. SWs accounted for 25% (472/1,902) of the acoustic repertoire. External observers have shown near perfect agreement to classify whistles into the adopted SW categorization. Most acoustic and temporal variables measured for SWs showed mean values similar to those recorded in other studies with spinner dolphins, whose authors did not differentiate SWs from non-SWs. Principal component analysis has explained 78% of total SW variance, and it emphasized the relevance of shape/contour and frequency variables to SW variance. This scientific discovery helps improving bioacoustics knowledge about the investigated species. Future studies to be conducted in Fernando de Noronha Archipelago should focus on continuous investigations about SW development and use by S. longirostris, expanding individuals' identifications (Photo ID and SW Noronha Catalog), assessing long-term whistle stability and emission rates, and making mother-offspring comparisons with sex-based differences.
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Affiliation(s)
- Raul Rio
- Laboratory of Observational and Bioacoustics Technologies Applied to Biodiversity (TecBio), Department of Veterinary Medicine, Federal University of Juiz de Fora (UFJF), Juiz de Fora, Minas Gerais, Brazil.
- Ocean Sound, Non-Governmental Organization (NGO), Santos, São Paulo, Brazil.
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2
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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.
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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
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3
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Parameterizing animal sounds and motion with animal-attached tags to study acoustic communication. Behav Ecol Sociobiol 2022. [DOI: 10.1007/s00265-022-03154-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Abstract
Stemming from the traditional use of field observers to score states and events, the study of animal behaviour often relies on analyses of discrete behavioural categories. Many studies of acoustic communication record sequences of animal sounds, classify vocalizations, and then examine how call categories are used relative to behavioural states and events. However, acoustic parameters can also convey information independent of call type, offering complementary study approaches to call classifications. Animal-attached tags can continuously sample high-resolution behavioural data on sounds and movements, which enables testing how acoustic parameters of signals relate to parameters of animal motion. Here, we present this approach through case studies on wild common bottlenose dolphins (Tursiops truncatus). Using data from sound-and-movement recording tags deployed in Sarasota (FL), we parameterized dolphin vocalizations and motion to investigate how senders and receivers modified movement parameters (including vectorial dynamic body acceleration, “VeDBA”, a proxy for activity intensity) as a function of signal parameters. We show that (1) VeDBA of one female during consortships had a negative relationship with centroid frequency of male calls, matching predictions about agonistic interactions based on motivation-structural rules; (2) VeDBA of four males had a positive relationship with modulation rate of their pulsed vocalizations, confirming predictions that click-repetition rate of these calls increases with agonism intensity. Tags offer opportunities to study animal behaviour through analyses of continuously sampled quantitative parameters, which can complement traditional methods and facilitate research replication. Our case studies illustrate the value of this approach to investigate communicative roles of acoustic parameter changes.
Significance statement
Studies of animal behaviour have traditionally relied on classification of behavioural patterns and analyses of discrete behavioural categories. Today, technologies such as animal-attached tags enable novel approaches, facilitating the use of quantitative metrics to characterize behaviour. In the field of acoustic communication, researchers typically classify vocalizations and examine usage of call categories. Through case studies of bottlenose dolphin social interactions, we present here a novel tag-based complementary approach. We used high-resolution tag data to parameterize dolphin sounds and motion, and we applied continuously sampled parameters to examine how individual dolphins responded to conspecifics’ signals and moved while producing sounds. Activity intensity of senders and receivers changed with specific call parameters, matching our predictions and illustrating the value of our approach to test communicative roles of acoustic parameter changes. Parametric approaches can complement traditional methods for animal behaviour and facilitate research replication.
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Oswald JN, Walmsley SF, Casey C, Fregosi S, Southall B, Janik VM. Species information in whistle frequency modulation patterns of common dolphins. Philos Trans R Soc Lond B Biol Sci 2021; 376:20210046. [PMID: 34482716 PMCID: PMC8419585 DOI: 10.1098/rstb.2021.0046] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/20/2021] [Indexed: 12/14/2022] Open
Abstract
The most flexible communication systems are those of open-ended vocal learners that can acquire new signals throughout their lifetimes. While acoustic signals carry information in general voice features that affect all of an individual's vocalizations, vocal learners can also introduce novel call types to their repertoires. Delphinids are known for using such learned call types in individual recognition, but their role in other contexts is less clear. We investigated the whistles of two closely related, sympatric common dolphin species, Delphinus delphis and Delphinus bairdii, to evaluate species differences in whistle contours. Acoustic recordings of single-species groups were obtained from the Southern California Bight. We used an unsupervised neural network to categorize whistles and compared the resulting whistle types between species. Of the whistle types recorded in more than one encounter, 169 were shared between species and 60 were species-specific (32 D. delphis types, 28 D. bairdii types). Delphinus delphis used 15 whistle types with an oscillatory frequency contour while only one such type was found in D. bairdii. Given the role of vocal learning in delphinid vocalizations, we argue that these differences in whistle production are probably culturally driven and could help facilitate species recognition between Delphinus species. This article is part of the theme issue 'Vocal learning in animals and humans'.
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Affiliation(s)
- Julie N. Oswald
- Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, Fife KY16 8LB, UK
| | - Sam F. Walmsley
- Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, Fife KY16 8LB, UK
| | - Caroline Casey
- Southall Environmental Associates, 9099 Soquel Drive, Suite 8, Aptos, CA 95003, USA
| | - Selene Fregosi
- Southall Environmental Associates, 9099 Soquel Drive, Suite 8, Aptos, CA 95003, USA
| | - Brandon Southall
- Southall Environmental Associates, 9099 Soquel Drive, Suite 8, Aptos, CA 95003, USA
- Long Marine Laboratory, Institute of Marine Sciences, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Vincent M. Janik
- Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, Fife KY16 8LB, UK
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Meyer J, Magnasco MO, Reiss D. The Relevance of Human Whistled Languages for the Analysis and Decoding of Dolphin Communication. Front Psychol 2021; 12:689501. [PMID: 34621209 PMCID: PMC8490682 DOI: 10.3389/fpsyg.2021.689501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/30/2021] [Indexed: 11/26/2022] Open
Abstract
Humans use whistled communications, the most elaborate of which are commonly called "whistled languages" or "whistled speech" because they consist of a natural type of speech. The principle of whistled speech is straightforward: people articulate words while whistling and thereby transform spoken utterances by simplifying them, syllable by syllable, into whistled melodies. One of the most striking aspects of this whistled transformation of words is that it remains intelligible to trained speakers, despite a reduced acoustic channel to convey meaning. It constitutes a natural traditional means of telecommunication that permits spoken communication at long distances in a large diversity of languages of the world. Historically, birdsong has been used as a model for vocal learning and language. But conversely, human whistled languages can serve as a model for elucidating how information may be encoded in dolphin whistle communication. In this paper, we elucidate the reasons why human whistled speech and dolphin whistles are interesting to compare. Both are characterized by similar acoustic parameters and serve a common purpose of long distance communication in natural surroundings in two large brained social species. Moreover, their differences - e.g., how they are produced, the dynamics of the whistles, and the types of information they convey - are not barriers to such a comparison. On the contrary, by exploring the structure and attributes found across human whistle languages, we highlight that they can provide an important model as to how complex information is and can be encoded in what appears at first sight to be simple whistled modulated signals. Observing details, such as processes of segmentation and coarticulation, in whistled speech can serve to advance and inform the development of new approaches for the analysis of whistle repertoires of dolphins, and eventually other species. Human whistled languages and dolphin whistles could serve as complementary test benches for the development of new methodologies and algorithms for decoding whistled communication signals by providing new perspectives on how information may be encoded structurally and organizationally.
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Affiliation(s)
- Julien Meyer
- CNRS, GIPSA-Lab, Université Grenoble Alpes, Grenoble, France
| | - Marcelo O. Magnasco
- Laboratory of Integrative Neuroscience, Rockefeller University, New York, NY, United States
| | - Diana Reiss
- Department of Psychology, Hunter College, New York, NY, United States
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Probert R, Bastian A, Elwen SH, James BS, Gridley T. Vocal correlates of arousal in bottlenose dolphins (Tursiops spp.) in human care. PLoS One 2021; 16:e0250913. [PMID: 34469449 PMCID: PMC8409691 DOI: 10.1371/journal.pone.0250913] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 08/19/2021] [Indexed: 02/02/2023] Open
Abstract
Human-controlled regimes can entrain behavioural responses and may impact animal welfare. Therefore, understanding the influence of schedules on animal behaviour can be a valuable tool to improve welfare, however information on behaviour overnight and in the absence of husbandry staff remains rare. Bottlenose dolphins (Tursiops spp.) are highly social marine mammals and the most common cetacean found in captivity. They communicate using frequency modulated signature whistles, a whistle type that is individually distinctive and used as a contact call. We investigated the vocalisations of ten dolphins housed in three social groups at uShaka Sea World dolphinarium to determine how patterns in acoustic behaviour link to dolphinarium routines. Investigation focused on overnight behaviour, housing decisions, weekly patterns, and transitional periods between the presence and absence of husbandry staff. Recordings were made from 17h00 - 07h00 over 24 nights, spanning May to August 2018. Whistle (including signature whistle) presence and production rate decreased soon after husbandry staff left the facility, was low over night, and increased upon staff arrival. Results indicated elevated arousal states particularly associated with the morning feeding regime. Housing in the pool configuration that allowed observation of staff activities from all social groups was characterised by an increase in whistle presence and rates. Heightened arousal associated with staff presence was reflected in the structural characteristics of signature whistles, particularly maximum frequency, frequency range and number of whistle loops. We identified individual differences in both production rate and the structural modification of signature whistles under different contexts. Overall, these results revealed a link between scheduled activity and associated behavioural responses, which can be used as a baseline for future welfare monitoring where changes from normal behaviour may reflect shifts in welfare state.
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Affiliation(s)
- Rachel Probert
- Department of Agriculture, Engineering and Science, School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
- Sea Search Research and Conservation NPC, Cape Town, South Africa
- * E-mail:
| | - Anna Bastian
- Department of Agriculture, Engineering and Science, School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Simon H. Elwen
- Sea Search Research and Conservation NPC, Cape Town, South Africa
- Department of Botany and Zoology, Faculty of Science, Stellenbosch University, Stellenbosch, South Africa
| | - Bridget S. James
- Sea Search Research and Conservation NPC, Cape Town, South Africa
- Department of Botany and Zoology, Faculty of Science, Stellenbosch University, Stellenbosch, South Africa
| | - Tess Gridley
- Sea Search Research and Conservation NPC, Cape Town, South Africa
- Department of Botany and Zoology, Faculty of Science, Stellenbosch University, Stellenbosch, South Africa
- Department of Statistical Sciences, Centre for Statistics in Ecology, Environment and Conservation, University of Cape Town, Cape Town, Western Cape, South Africa
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7
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Bailey H, Fandel AD, Silva K, Gryzb E, McDonald E, Hoover AL, Ogburn MB, Rice AN. Identifying and predicting occurrence and abundance of a vocal animal species based on individually specific calls. Ecosphere 2021. [DOI: 10.1002/ecs2.3685] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Affiliation(s)
- H. Bailey
- Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Solomons Maryland 20688 USA
| | - A. D. Fandel
- Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Solomons Maryland 20688 USA
| | - K. Silva
- Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Solomons Maryland 20688 USA
| | - E. Gryzb
- Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Solomons Maryland 20688 USA
| | - E. McDonald
- Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Solomons Maryland 20688 USA
| | - A. L. Hoover
- Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Solomons Maryland 20688 USA
| | - M. B. Ogburn
- Smithsonian Environmental Research Center 647 Contees Wharf Road Edgewater Maryland 21037 USA
| | - A. N. Rice
- Center for Conservation Bioacoustics Cornell Lab of Ornithology Cornell University Ithaca New York 14850 USA
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