Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sarah J. Withers"'
Autor:
Ines G. Moran, Yen Yi Loo, Stilianos Louca, Nick B. A. Young, Annabel Whibley, Sarah J. Withers, Priscila M. Salloum, Michelle L. Hall, Margaret C. Stanley, Kristal E. Cain
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-15 (2024)
Abstract Despite extensive research on avian vocal learning, we still lack a general understanding of how and when this ability evolved in birds. As the closest living relatives of the earliest Passeriformes, the New Zealand wrens (Acanthisitti) hold
Externí odkaz:
https://doaj.org/article/dc4ec5a239c4453aaf6ee850df34d2d0
Publikováno v:
Ecology and Evolution, Vol 11, Iss 11, Pp 5998-6014 (2021)
Abstract This research investigates the extent and causal mechanisms of genetic population divergence in a poorly flighted passerine, the North Island Rifleman or Titipounamu (Acanthisitta chloris granti). While this species has a historically widesp
Externí odkaz:
https://doaj.org/article/a1cd5daadc77462a9d55b909a7ae36d7
Publikováno v:
Ecology and Evolution
Ecology and Evolution, Vol 11, Iss 11, Pp 5998-6014 (2021)
Ecology and Evolution, Vol 11, Iss 11, Pp 5998-6014 (2021)
This research investigates the extent and causal mechanisms of genetic population divergence in a poorly flighted passerine, the North Island Rifleman or Titipounamu (Acanthisitta chloris granti). While this species has a historically widespread dist
Publikováno v:
Bird Conservation International. 29:542-557
SummaryDespite many notable successes, the failure rate of animal translocations remains high. Conservation practitioners and reintroduction specialists have emphasised the need for ongoing documentation of translocation attempts, whether successful
Publikováno v:
Behavioral Ecology. 28:1085-1092
Geographic patterns of song variation are common in passerines and can develop as a consequence of the mechanisms of song acquisition and dispersal. In particular, the timing of dispersal relative to the sensory learning phase and the time of song cr
Publikováno v:
The Journal of the Acoustical Society of America. 137:2542-2551
Human expert analyses are commonly used in bioacoustic studies and can potentially limit the reproducibility of these results. In this paper, a machine learning method is presented to statistically classify avian vocalizations. Automated approaches w