Abstract:
Univariate analysis based on logistic growth curve fitting and multivariate analysis using principle component analysis (PCA) were used to analyze complex patterns and correlations in morphometric data from 16 individuals of the Indian Eagle Owl Bubo bengalensis from the Deccan Plateau. Wing chord length, tarsus length, claw length, beak length, tail length and weight were measured from hatching until fledging (1-58 days old) . A logistic growth curve showed a good fit for all characters. Different characters showed different growth patterns according to their function in the developing nestling. PCA analysis revealed that different morphological characters are loosely coupled together during growth, and this could be attributed to the behavioural ecology of nestlings. By comparing the patterns in our data with data published from southern India, we also show that there is plasticity in the development in these geographically isolated populations