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New bioacoustics article in Ornis Fennica

Subject: New bioacoustics article in Ornis Fennica
From: "Tomasz S. Osiejuk" <>
Date: Mon, 14 Jan 2008 08:50:19 +0100
Dear colleagues,

The following article is to appear in the new issue of Ornis Fennica:

Bao-Sen Shieh & Shih-Hsiung Liang 2007. Geographic variations and temporal changes in songs of the Rufous-capped Babbler (Stachyris ruficeps praecognita). Ornis Fennica 84: 163-172.

Link to download PDF:

Abstract. Song has been an important subject in studying geographic variation and cultural evolution across bird populations, but the quantitative analysis of song has been problematic. The aim of this study is to investigate the temporal changes and geographic variations in songs of Rufous-capped Babblers (Stachyris ruficeps praecognita) using both spectrographic cross-correlation (SPCC) analysis and multivariate analysis on spectrographic measures.We recorded songs at Shoushan Nature Park of southern Taiwan from 2001 to 2004 and five other sites including Fushan in northern Taiwan, SunMoon Lake in central Taiwan, and Gauchon, Sanpin, Nazenshan in southern Taiwan. The results showed that the cross-correlation coefficients of songs between bird samples were relatively smaller than those within samples. Using SPCC analysis on first notes instead of whole songs, songs of northern Taiwan could be differentiated from those of central or southern Taiwan. Results of multivariate analysis on spectrographic measures showed that mean frequency,
minimum frequency and maximum frequency of the first note were the primary
acoustic parameters responsible for this differentiation. However, there were no obvious patterns of temporal changes of songs in the habitat island population of ShoushanNature Park, which could have resulted from higher variations among individuals within the same year in this high density population.We conclude that the SPCC analysisworks as a starting point to examine the geographic variations in songs with simple structures and a followingmutivariate analysis is effective in identifying the acoustic parameters resulting
in those geographic variations.

All the best,
Tomasz Osiejuk

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