Subspecies Taxonomy and Inter-Population Divergences of the Critically Endangered Yellow-Breasted Bunting: Evidence from Song Variations

Autor: Wenshuang Bao, Atul Kathait, Xiang Li, Kiyoaki Ozaki, Yukihiro Hanada, Alexander Thomas, Geoffrey John Carey, Jun Gou, Batmunkh Davaasuren, Makoto Hasebe, Paul Ian Holt, Lukas Pelikan, Zhongyong Fan, Siyu Wang, Xiaoying Xing
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Animals, Vol 12, Iss 17, p 2292 (2022)
Druh dokumentu: article
ISSN: 2076-2615
DOI: 10.3390/ani12172292
Popis: The critically endangered Yellow-breasted Bunting has undergone population collapse globally because of illegal hunting and habitat deterioration. It was listed as critically endangered (CR) by the International Union for Conservation of Nature (IUCN) in 2017 and designated a Class I (highest level) national conservation bird species in China in 2021. Birdsong in the breeding season is the main communicative signal under sexual selection, and song variations have long been considered critical evidence of divergence among subspecies or populations. We compared the songs of 89 males from 18 populations to test subspecies taxonomy. We found that songs of the Yellow-breasted Bunting Emberiza aureola are subspecies specific and that three subspecies can be clearly discriminated by song divergences. Moreover, an analysis of multiple vocal traits supports the claim that insulana is distinct from aureola and ornata. Finally, at the geographic population level, populations can be clearly classified in accordance with the three subspecies, although the aureola population in Xinjiang, China is differentiated from other populations of the same subspecies. The results of this study demonstrate that all populations and subspecies are unique and should be protected to maintain intraspecies song diversity. In addition, several specific populations, such as insulana populations in Japan and the Xinjiang, China population of aureola, need to be paid special attention to prevent the extinction of unique or local taxa.
Databáze: Directory of Open Access Journals
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