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  1. Article ; Online: Syntactic rules predict song type matching in a songbird

    Searcy, William A. / Chronister, Lauren M. / Nowicki, Stephen

    Behav Ecol Sociobiol. 2023 Jan., v. 77, no. 1 p.12-12

    2023  

    Abstract: Song type matching has been hypothesized to be a graded signal of aggression; however, it is often the case that variation in matching behavior is unrelated to variation in aggressiveness. An alternative view is that whether an individual matches a song ... ...

    Abstract Song type matching has been hypothesized to be a graded signal of aggression; however, it is often the case that variation in matching behavior is unrelated to variation in aggressiveness. An alternative view is that whether an individual matches a song is determined mainly by syntactic rules governing how songs are sequenced. In song sparrows (Melospiza melodia), two such rules are the cycling rule, which directs that a bird cycles through its song types in close to the minimum number of bouts, and the bout length rule, which directs that a long bout of a song type is followed by a long interval before that song type is sung again. The effect of these rules on matching is confirmed here for a population of eastern song sparrows. Territorial males were challenged at the end of a recording session with playback of one of their own song types. Logistic regression showed that the probability of matching the playback song type increased with the length of the interval since the subject had last sung that song type, as predicted by the cycling rule. The probability of matching decreased as prior bout length increased, as predicted by the bout length rule. In a multivariate logistic regression, interval length and prior bout length were both associated with matching and together correctly predicted matching in 81.3% of cases. The results support the syntactic constraints hypothesis, which proposes that matching is a non-signaling by-product of internal rules governing the ordering of song type sequences. SIGNIFICANCE STATEMENT: Vocal matching has attracted widespread interest in large part because it seems an effective method of directing an aggressive message at a particular recipient. Here, we show that in an eastern population of song sparrows, decisions on whether to match another bird are largely determined by internal rules of syntax governing how a singer sequences its song types, rather than by variation in aggressiveness or other individual traits. These results support the view that vocal matching is an incidental byproduct of internal mechanisms controlling the ordering of vocalization types and so is not a signal at all. This hypothesis may be broadly applicable to vocal matching in other species.
    Keywords Melospiza melodia ; aggression ; byproducts ; probability ; regression analysis ; songbirds ; vocalization
    Language English
    Dates of publication 2023-01
    Size p. 12.
    Publishing place Springer Berlin Heidelberg
    Document type Article ; Online
    ZDB-ID 194510-5
    ISSN 1432-0762 ; 0340-5443
    ISSN (online) 1432-0762
    ISSN 0340-5443
    DOI 10.1007/s00265-022-03286-3
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: When birds sing at the same pitch, they avoid singing at the same time

    Chronister, Lauren M. / Rhinehart, Tessa A. / Kitzes, Justin

    Ibis. 2023 July, v. 165, no. 3 p.1047-1053

    2023  

    Abstract: Birds singing in choruses must contend with the possibility of interfering with each other's songs, but not all species will interfere with each other to the same extent due to signal partitioning. Some evidence suggests that singing birds will avoid ... ...

    Abstract Birds singing in choruses must contend with the possibility of interfering with each other's songs, but not all species will interfere with each other to the same extent due to signal partitioning. Some evidence suggests that singing birds will avoid temporal overlap only in cases where there is overlap in the frequencies their songs occupy, but the extent to which this behaviour varies according to level of frequency overlap is not yet well understood. We investigated the hypothesis that birds will increasingly avoid heterospecific temporal overlap as their frequency overlap increases by testing for a linear correlation between frequency overlap and temporal avoidance across a community of temperate eastern North American birds. We found that there was a significant correlation across the whole community and within 12 of 15 commonly occurring individual species, which supports our hypothesis and adds to the growing body of evidence that birds adjust the timing of their songs in response to frequency overlap.
    Keywords North Americans ; birds ; frequency ; wills
    Language English
    Dates of publication 2023-07
    Size p. 1047-1053.
    Publishing place John Wiley & Sons, Ltd
    Document type Article ; Online
    Note JOURNAL ARTICLE
    ZDB-ID 2071870-6
    ISSN 1474-919X ; 0019-1019
    ISSN (online) 1474-919X
    ISSN 0019-1019
    DOI 10.1111/ibi.13192
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: An annotated set of audio recordings of Eastern North American birds containing frequency, time, and species information.

    Chronister, Lauren M / Rhinehart, Tessa A / Place, Aidan / Kitzes, Justin

    Ecology

    2021  Volume 102, Issue 6, Page(s) e03329

    Abstract: Acoustic recordings of soundscapes are an important category of audio data that can be useful for answering a variety of questions, and an entire discipline within ecology, dubbed "soundscape ecology," has risen to study them. Bird sound is often the ... ...

    Abstract Acoustic recordings of soundscapes are an important category of audio data that can be useful for answering a variety of questions, and an entire discipline within ecology, dubbed "soundscape ecology," has risen to study them. Bird sound is often the focus of studies of soundscapes due to the ubiquitousness of birds in most terrestrial environments and their high vocal activity. Autonomous acoustic recorders have increased the quantity and availability of recordings of natural soundscapes while mitigating the impact of human observers on community behavior. However, such recordings are of little use without analysis of the sounds they contain. Manual analysis currently stands as the best means of processing this form of data for use in certain applications within soundscape ecology, but it is a laborious task, sometimes requiring many hours of human review to process comparatively few hours of recording. For this reason, few annotated data sets of soundscape recordings are publicly available. Further still, there are no publicly available strongly labeled soundscape recordings of bird sounds that contain information on timing, frequency, and species. Therefore, we present the first data set of strongly labeled bird sound soundscape recordings under free use license. These data were collected in the Northeastern United States at Powdermill Nature Reserve, Rector, Pennsylvania, USA. Recordings encompass 385 minutes of dawn chorus recordings collected by autonomous acoustic recorders between the months of April through July 2018. Recordings were collected in continuous bouts on four days during the study period and contain 48 species and 16,052 annotations. Applications of this data set may be numerous and include the training, validation, and testing of certain advanced machine-learning models that detect or classify bird sounds. There are no copyright or propriety restrictions; please cite this paper when using materials within.
    MeSH term(s) Acoustics ; Animals ; Birds ; Ecology ; Humans ; Sound ; United States
    Language English
    Publishing date 2021-05-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2010140-5
    ISSN 1939-9170 ; 0012-9658
    ISSN (online) 1939-9170
    ISSN 0012-9658
    DOI 10.1002/ecy.3329
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: An annotated set of audio recordings of Eastern North American birds containing frequency, time, and species information

    Chronister, Lauren M / Rhinehart, Tessa A / Place, Aidan / Kitzes, Justin

    Ecology. 2021 June, v. 102, no. 6

    2021  

    Abstract: Acoustic recordings of soundscapes are an important category of audio data that can be useful for answering a variety of questions, and an entire discipline within ecology, dubbed “soundscape ecology,” has risen to study them. Bird sound is often the ... ...

    Abstract Acoustic recordings of soundscapes are an important category of audio data that can be useful for answering a variety of questions, and an entire discipline within ecology, dubbed “soundscape ecology,” has risen to study them. Bird sound is often the focus of studies of soundscapes due to the ubiquitousness of birds in most terrestrial environments and their high vocal activity. Autonomous acoustic recorders have increased the quantity and availability of recordings of natural soundscapes while mitigating the impact of human observers on community behavior. However, such recordings are of little use without analysis of the sounds they contain. Manual analysis currently stands as the best means of processing this form of data for use in certain applications within soundscape ecology, but it is a laborious task, sometimes requiring many hours of human review to process comparatively few hours of recording. For this reason, few annotated data sets of soundscape recordings are publicly available. Further still, there are no publicly available strongly labeled soundscape recordings of bird sounds that contain information on timing, frequency, and species. Therefore, we present the first data set of strongly labeled bird sound soundscape recordings under free use license. These data were collected in the Northeastern United States at Powdermill Nature Reserve, Rector, Pennsylvania, USA. Recordings encompass 385 minutes of dawn chorus recordings collected by autonomous acoustic recorders between the months of April through July 2018. Recordings were collected in continuous bouts on four days during the study period and contain 48 species and 16,052 annotations. Applications of this data set may be numerous and include the training, validation, and testing of certain advanced machine‐learning models that detect or classify bird sounds. There are no copyright or propriety restrictions; please cite this paper when using materials within.
    Keywords acoustics ; artificial intelligence ; birds ; conservation areas ; data collection ; ecology ; humans ; vocalization ; Pennsylvania
    Language English
    Dates of publication 2021-06
    Publishing place John Wiley & Sons, Ltd
    Document type Article
    Note NAL-AP-2-clean ; JOURNAL ARTICLE
    ZDB-ID 1797-8
    ISSN 0012-9658
    ISSN 0012-9658
    DOI 10.1002/ecy.3329
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Acoustic localization of terrestrial wildlife: Current practices and future opportunities.

    Rhinehart, Tessa A / Chronister, Lauren M / Devlin, Trieste / Kitzes, Justin

    Ecology and evolution

    2020  Volume 10, Issue 13, Page(s) 6794–6818

    Abstract: Autonomous acoustic recorders are an increasingly popular method for low-disturbance, large-scale monitoring of sound-producing animals, such as birds, anurans, bats, and other mammals. A specialized use of autonomous recording units (ARUs) is acoustic ... ...

    Abstract Autonomous acoustic recorders are an increasingly popular method for low-disturbance, large-scale monitoring of sound-producing animals, such as birds, anurans, bats, and other mammals. A specialized use of autonomous recording units (ARUs) is acoustic localization, in which a vocalizing animal is located spatially, usually by quantifying the time delay of arrival of its sound at an array of time-synchronized microphones. To describe trends in the literature, identify considerations for field biologists who wish to use these systems, and suggest advancements that will improve the field of acoustic localization, we comprehensively review published applications of wildlife localization in terrestrial environments. We describe the wide variety of methods used to complete the five steps of acoustic localization: (1) define the research question, (2) obtain or build a time-synchronizing microphone array, (3) deploy the array to record sounds in the field, (4) process recordings captured in the field, and (5) determine animal location using position estimation algorithms. We find eight general purposes in ecology and animal behavior for localization systems: assessing individual animals' positions or movements, localizing multiple individuals simultaneously to study their interactions, determining animals' individual identities, quantifying sound amplitude or directionality, selecting subsets of sounds for further acoustic analysis, calculating species abundance, inferring territory boundaries or habitat use, and separating animal sounds from background noise to improve species classification. We find that the labor-intensive steps of processing recordings and estimating animal positions have not yet been automated. In the near future, we expect that increased availability of recording hardware, development of automated and open-source localization software, and improvement of automated sound classification algorithms will broaden the use of acoustic localization. With these three advances, ecologists will be better able to embrace acoustic localization, enabling low-disturbance, large-scale collection of animal position data.
    Language English
    Publishing date 2020-06-13
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2635675-2
    ISSN 2045-7758
    ISSN 2045-7758
    DOI 10.1002/ece3.6216
    Database MEDical Literature Analysis and Retrieval System OnLINE

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