Sequential organization in the song of thrush nightingale (Luscinia luscinia): clustering and sequential order of the song types

Bioacoustics ◽  
2016 ◽  
Vol 26 (2) ◽  
pp. 199-215 ◽  
Author(s):  
V. V. Ivanitskii ◽  
I. M. Marova ◽  
V. A. Antipov
Author(s):  
Sándor Zsebők ◽  
Gábor Herczeg ◽  
Miklós Laczi ◽  
Gergely Nagy ◽  
Éva Vaskuti ◽  
...  

Abstract Many vocalizing animals produce the discrete elements of their acoustic signals in a specific sequential order, but we know little about the biological relevance of this ordering. For that, we must characterize the degree by which individuals differ in how they organize their signals sequentially and relate these differences to variation in quality and fitness. In this study, we fulfilled these tasks in male collared flycatchers (Ficedula albicollis). We characterized the sequential order of syllables with a network analysis approach and studied the consistency of network variables on distinct time scales (within day, between days, and between years), and assessed their relationship with such quality indicators like age, body condition, arrival date, and fitness related proxies like survival to the next year and pairing success. We found that the syllables were associated nonrandomly with one another and both the frequency differences of consecutive syllables and the number of motif types were higher in the original than in randomized syllable sequences. Average degree and small-worldness showed considerable among-individual differences and decreasing repeatability with increasing time scale. Furthermore, we found relationships between male age and average degree among and within individuals. Accordingly, older males produce syllable sequences by using common syllables less often than younger individuals. However, the network variables showed no relationship with fitness-related variables. In conclusion, the sequential organization of birdsong has the potential to encode individual-specific characteristics, which thus could be used as signal in social interactions and thus potentially could be subject to sexual selection.


Behaviour ◽  
1987 ◽  
Vol 102 (3-4) ◽  
pp. 196-211 ◽  
Author(s):  
Jorma Sorjonen

AbstractDifferences in the song repertoires of males and in the song-pools of the thrush nightingale populations were studied in 1972, 1983 and 1984 in southern Finland. Changes in male repertoires and in the song-pool of one population were monitored in 1972 and 1980-1985. The thrush nightingales in a local population had repertoires that were more similar to each other than to those of the males in other local populations. The similarity of the repertoires decreased with increasing distance, but there were no clear-cut dialect boundaries between local populations. The song repertoire of a male was more similar to that of the adjacent males than to his own repertoire of the previous year. The similarity of the repertoires of adjacent singers increased during the singing period. This similarity was partly due to the same song-types being used with about equal frequency, but obviously the males were also able to learn new songs from their adjacent singers. After dispersal to a breeding area thrush nightingales learn at least some new song-types, even at the age of two to four years. Some old breeders were able to copy new song-types from the immigrants (mostly young males) or the playback tape. The newly copied song-types were loud and simple in structure, whereas the song-types soon to be abandoned were weak in amplitude. In one population, studied from 1980 to 1985, the repertoires of the males tended to become more similar in successive years. This tendency, however, did not occur in 1984 when the proportion of immigrants in the population was unusually high. The major changes in local song traditions were due to "cultural diffusion" by males originating from areas with other traditions; this diffusion greatly enriched the local song-pool, especially in years when the rate of immigration was high.


1975 ◽  
Vol 53 (8) ◽  
pp. 1165-1178 ◽  
Author(s):  
J. Bruce Falls ◽  
John R. Krebs

The male western meadowlark has a repertoire of 5–12 song types and produces a bout of repetition of one song type before switching to another. Songs of neighboring birds were played to three territorial males to investigate the effect of playback on choice of song types. In contrast to findings on some other species, there was no tendency for responding birds to choose a song type that matched the playback. However, birds did tend to switch songs whenever the playback started. There was equal response to all song types, and little evidence of habituation between playback sessions.The sequence of switches from one song type to another was compared with a random sequence generated by computer simulation. Both during spontaneous singing, and in response to playback, there was significant avoidance of low recurrence intervals (the number of switches between two bouts of the same song). Thus, birds tended to cycle through their repertoires. The sequence more closely approximates a second- than a first-order Markov process.Song repertoires may function to decrease rate of habituation of receivers to whom the signal is directed. The sequential organization of switches is interpreted within this functional framework.


2020 ◽  
Vol 10 (1) ◽  
pp. 2 ◽  
Author(s):  
Soroush Ojagh ◽  
Sara Saeedi ◽  
Steve H. L. Liang

With the wide availability of low-cost proximity sensors, a large body of research focuses on digital person-to-person contact tracing applications that use proximity sensors. In most contact tracing applications, the impact of SARS-CoV-2 spread through touching contaminated surfaces in enclosed places is overlooked. This study is focused on tracing human contact within indoor places using the open OGC IndoorGML standard. This paper proposes a graph-based data model that considers the semantics of indoor locations, time, and users’ contexts in a hierarchical structure. The functionality of the proposed data model is evaluated for a COVID-19 contact tracing application with scalable system architecture. Indoor trajectory preprocessing is enabled by spatial topology to detect and remove semantically invalid real-world trajectory points. Results show that 91.18% percent of semantically invalid indoor trajectory data points are filtered out. Moreover, indoor trajectory data analysis is innovatively empowered by semantic user contexts (e.g., disinfecting activities) extracted from user profiles. In an enhanced contact tracing scenario, considering the disinfecting activities and sequential order of visiting common places outperformed contact tracing results by filtering out unnecessary potential contacts by 44.98 percent. However, the average execution time of person-to-place contact tracing is increased by 58.3%.


1990 ◽  
Vol 31 (1) ◽  
pp. 165-168
Author(s):  
S. A. Malyugin
Keyword(s):  

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