Abstract
The analysis of shape variation in morphometric outlines has increasingly been used for stock identification due to easy access to archived and routinely collected samples, as well as advanced image processing and computing. Most commonly, Fourier analysis of outline coordinates is being applied to investigate geographic variation in otolith shapes. Using multivariate statistics, the derived variables are being analyzed for differences between stocks or areas. Several case studies, often combined with other stock identification methods in multidisciplinary projects, are discussed in this chapter. Recent studies on shape variation in calcified structures such as otoliths addressed the effects of environmental and genetic influences on shape expression.
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