Machine learning reveals that climate, geography, and cultural drift all predict bird song variation in coastal Zonotrichia leucophrys DOI
Jiaying Yang, Bryan C. Carstens, Kaiya L. Provost

et al.

Ornithology, Journal Year: 2023, Volume and Issue: 141(2)

Published: Dec. 19, 2023

Abstract Previous work has demonstrated that there is extensive variation in the songs of White-crowned Sparrow (Zonotrichia leucophrys) throughout species range, including between neighboring (and genetically distinct) subspecies Z. l. nuttalli and pugetensis. Using a machine learning approach to bioacoustic analysis, we demonstrate song correlated with year recording (representing cultural drift), geographic distance, climatic differences, but response subspecies- season-specific. Automated methods bird annotation can process large datasets more efficiently, allowing us examine 1,913 recordings across ~60 years. We utilize recently published artificial neural network automatically annotate vocalizations. By analyzing differences syllable usage composition, recapitulate known pattern where pugetensis have significantly different songs. Our results are consistent interpretation these caused by changes characteristics syllables repertoire. This supports hypothesis evolution vocalization behavior affected environment, addition population structure.

Language: Английский

Influence of start-up modes on the noise characteristics of mixed-flow pump during start-up process DOI
Guojun Zhu,

Yifan Xuan,

Jianjun Feng

et al.

Mechanical Systems and Signal Processing, Journal Year: 2024, Volume and Issue: 214, P. 111388 - 111388

Published: March 30, 2024

Language: Английский

Citations

1
A limit to sustained performance constrains trill length in birdsong DOI Creative Commons
Javier Sierro, Selvino R. de Kort, Ian R. Hartley

et al.

iScience, Journal Year: 2023, Volume and Issue: 26(11), P. 108206 - 108206

Published: Oct. 14, 2023

In birds, song performance determines the outcome of contests over crucial resources. We hypothesized that 1) sustained is limited within song, resulting in a decline towards end and 2) impact length compromised if declines. To test these hypotheses, we analyzed songs 597 bird species (26 families) conducted playback experiment on blue tits (

Language: Английский

Citations

2
Listening to trees in the forest: Attentional set influences how semantic and acoustic factors interact in auditory perception DOI
Veronica Dudarev,

Jamie W. Kai,

Noor Brar

et al.

Attention Perception & Psychophysics, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 4, 2024

Language: Английский

Citations

0
Machine learning reveals that climate, geography, and cultural drift all predict bird song variation in coastal Zonotrichia leucophrys DOI
Jiaying Yang, Bryan C. Carstens, Kaiya L. Provost

et al.

Ornithology, Journal Year: 2023, Volume and Issue: 141(2)

Published: Dec. 19, 2023

Abstract Previous work has demonstrated that there is extensive variation in the songs of White-crowned Sparrow (Zonotrichia leucophrys) throughout species range, including between neighboring (and genetically distinct) subspecies Z. l. nuttalli and pugetensis. Using a machine learning approach to bioacoustic analysis, we demonstrate song correlated with year recording (representing cultural drift), geographic distance, climatic differences, but response subspecies- season-specific. Automated methods bird annotation can process large datasets more efficiently, allowing us examine 1,913 recordings across ~60 years. We utilize recently published artificial neural network automatically annotate vocalizations. By analyzing differences syllable usage composition, recapitulate known pattern where pugetensis have significantly different songs. Our results are consistent interpretation these caused by changes characteristics syllables repertoire. This supports hypothesis evolution vocalization behavior affected environment, addition population structure.

Language: Английский

Citations

1