THE AVIAN SONG OVER TIME: VARIABILITY AND STABILITY DOI

В. В. Иваницкий,

И. М. Марова

Зоологический журнал, Journal Year: 2023, Volume and Issue: 102(10), P. 1118 - 1126

Published: Oct. 1, 2023

Information is reviewed on the dynamics of bird singing over time, analyzing rate change in individual and population repertoires, considering factors affecting such changes. The available data indicate very significant periods persistence vocal patterns (song types) songbird populations. repertoires higher species with an unlimited period imprinting a song compared to fixed period. repertoire types numerous populations inhabiting vast continuous habitats more stable than small isolated occupying structurally fragmented habitats. most common are conserved from year year, while rare variants often disappear time. Abnormal climatic phenomena that cause changes age composition contribute rapid dialects. cases synchronous individuals local populations, as well separated each other by great distance, considered detail. causes give rise this need further research. likely reasons may be exchange models at wintering grounds or simultaneous introduction large number migrants into study which open training also borrowing new models.

Language: Английский

Local song evolution after three decades in a complex songster, the Thrush Nightingale DOI Creative Commons
Abel Souriau,

Jorma Sorjonen,

Adam Petrusek

et al.

Avian Research, Journal Year: 2025, Volume and Issue: unknown, P. 100224 - 100224

Published: Jan. 1, 2025

Language: Английский

Citations

0
Recognition of bird species with birdsong records using machine learning methods DOI Creative Commons
Yi Tang,

Chenshu Liu,

Xiang Yuan

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(2), P. e0297988 - e0297988

Published: Feb. 23, 2024

The recognition of bird species through the analysis their vocalizations is a crucial aspect wildlife conservation and biodiversity monitoring. In this study, acoustic features Certhia americana , brachydactyla familiaris were calculated including Acoustic complexity index (ACI), diversity (ADI), evenness (AEI), Bioacoustic (BI), Median amplitude envelop (MA), Normalized Difference Soundscape Index (NDSI). Three machine learning models, Random Forest (RF), Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), constructed. results showed that XGBoost model had best performance among three with highest accuracy (0.8365) AUC (0.8871). This suggests an effective tool for based on indices. study provides new approach to utilizes sound data characteristics.

Language: Английский

Citations

2
Foreign–local microdialect discrimination in a songbird, the black redstart DOI
Tifany Volle, Sébastien Derégnaucourt, Rémi Chambon

et al.

Animal Behaviour, Journal Year: 2024, Volume and Issue: 210, P. 113 - 125

Published: Feb. 21, 2024

Language: Английский

Citations

0
Avian Song over Time: Variability and Stability DOI

В. В. Иваницкий,

И. М. Марова

Biology Bulletin, Journal Year: 2024, Volume and Issue: 51(7), P. 2165 - 2173

Published: Nov. 25, 2024

Language: Английский

Citations

0
Geographic variations of song and rain calls of the Chaffinch across the ranges of three subspecies DOI Open Access

В. В. Иваницкий,

И. В. Самсонова,

И. М. Марова

et al.

Ornis Hungarica, Journal Year: 2023, Volume and Issue: 31(2), P. 49 - 60

Published: Dec. 1, 2023

Abstract We analyze the variability of Chaffinch’s (Fringilla coelebs) song and rain calls in 20 populations localized along a transect about 3,000 km, crossing territory European Russia between White Sea, Crimean Peninsula Caucasus Mountains. Three subspecies Chaffinch inhabit this area: (F. c. , Caucasian caucasicus) solomkoi) . The results cluster analysis based on show that Crimea southeastern Dagestan stand out most. All other fall clearly into two clusters corresponding to subspecies. In most vast range Russia, “buzzing” dialect call is widespread. Only extreme northwest it replaced by whistling dialect. Ciscaucasia, Chaffinches also emit exclusively sounds, but completely different structure. Western Caucasus, perform having unique two-syllable peninsula inhabited as well, although frequency modulation its from discuss spatial distribution types dialects within ranges contact zones them.

Language: Английский

Citations

0
THE AVIAN SONG OVER TIME: VARIABILITY AND STABILITY DOI

В. В. Иваницкий,

И. М. Марова

Зоологический журнал, Journal Year: 2023, Volume and Issue: 102(10), P. 1118 - 1126

Published: Oct. 1, 2023

Information is reviewed on the dynamics of bird singing over time, analyzing rate change in individual and population repertoires, considering factors affecting such changes. The available data indicate very significant periods persistence vocal patterns (song types) songbird populations. repertoires higher species with an unlimited period imprinting a song compared to fixed period. repertoire types numerous populations inhabiting vast continuous habitats more stable than small isolated occupying structurally fragmented habitats. most common are conserved from year year, while rare variants often disappear time. Abnormal climatic phenomena that cause changes age composition contribute rapid dialects. cases synchronous individuals local populations, as well separated each other by great distance, considered detail. causes give rise this need further research. likely reasons may be exchange models at wintering grounds or simultaneous introduction large number migrants into study which open training also borrowing new models.

Language: Английский

Citations

0