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, Himanshu
- Individual-Level Discrimination in Song Characteristics of White-Rumped Shama, Copsychus malabaricus
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Authors
Affiliations
1 Zoological Survey of India, Northern Regional Centre, Kaulagarh Road, Dehradun 248 195, IN
2 Forest Research Institute, Kaulagarh Road, Dehradun 248 195, IN
3 Department of Biology, University of Turuku, Fl-20014, Turuku, FI
1 Zoological Survey of India, Northern Regional Centre, Kaulagarh Road, Dehradun 248 195, IN
2 Forest Research Institute, Kaulagarh Road, Dehradun 248 195, IN
3 Department of Biology, University of Turuku, Fl-20014, Turuku, FI
Source
Current Science, Vol 125, No 1 (2023), Pagination: 59-65Abstract
Passerines exhibit considerable variations in song characteristics, with crucial ecological, behavioural and conservation implications. We documented the individual variations and level of distinctness in the song characteristics of white-rumped shama, Copsychus malabaricus. Bioacoustic analysis revealed that songs were composed of repeated strophes (2–5 types per individual) with occasional whistles/trills or orphan syllables, made up of 3–13 elements, with dissimilar structures. Data analysis using 373 strophes from 22 males showed that all 8 variables (minimum, maximum, dominant and range of frequency, strophe duration, song rate, number of elements per strophe and type of element per strophe) differed significantly (P < 0.001). Song variations were higher among individuals compared to within individuals. The principal component analysis explained 56.87% variance. Discriminant function analysis exhibited 69.41% cumulative variance with 40.37% classification accuracy. The present study may be useful for further research on some other attributes of a song such as repertoire size, microstructure and seasonal/diurnal variations.Keywords
Bioacoustic Analysis, Copsychus malabaricus, Discriminate Function Analysis, Principal Component Analysis, Song Distinctness.Full Text
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