New publication: Vocal convergence and social proximity shape the calls of the most basal Passeriformes, New Zealand Wrens

["I. Moran" <>]

Hi Bioacoustics-L community,

On behalf of my co-authors, I'm pleased to share our publication "Vocal convergence and social proximity shape the calls of the most basal Passeriformes, New Zealand Wrens". It is available open access from Communications Biology at the link below.  

Moran, I.G. et al. Vocal convergence and social proximity shape the calls of the most basal Passeriformes, New Zealand Wrens. Commun Biol 7, 575 (2024). https://doi.org/10.1038/s42003-024-06253-y

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 a key phylogenetic position for furthering our understanding of the evolution of vocal learning because they share a common ancestor with two vocal learners: oscines and parrots. However, the vocal learning abilities of New Zealand wrens remain unexplored. Here, we test for the presence of prerequisite behaviors for vocal learning in one of the two extant species of New Zealand wrens, the rifleman (Acanthisitta chloris). We detect the presence of unique individual vocal signatures and show how these signatures are shaped by social proximity, as demonstrated by group vocal signatures and strong acoustic similarities among distantly related individuals in close social proximity. Further, we reveal that rifleman calls share similar phenotypic variance ratios to those previously reported in the learned vocalizations of the zebra finch, Taeniopygia guttata. Together these findings provide strong evidence that riflemen vocally converge, and though the mechanism still remains to be determined, they may also suggest that this vocal convergence is the result of rudimentary vocal learning abilities.

Kind regards,

Ines Moran, PhD

Bioacoustics researcher

Wildlife Bioacoustics Analytics