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S. Renaud and J. R. Michaux















































              Figure 1 Sampling localities of the animals considered in the present study. Open symbols: mainland (circles, western European clade;
              triangles, Italo-Balkanic clade), filled symbols: islands.


               An alternative approach to the analysis of outline data is  (Renaud & Michaux, 2003), RFT was used for the analysis
              the elliptic Fourier transform (EFT). This method is based  of the simple molar outline whereas EFT was chosen to
              on separate Fourier decompositions of the incremental  describe the morphological variation of the mandible.
              changes along x and y as a function of the cumulative  Previous studies on related rodents showed that using the
              length along the outline (Kuhl & Giardina, 1982; Ferson  first nine harmonics for the M1 (Renaud, 1999) and the first
              et al., 1985). Any harmonic corresponds to four coefficients:  seven harmonics for the mandible (Renaud & Michaux,
              A n and B n for x, and C n and D n for y, defining an ellipse in  2003) offer a good compromise between measurement error,
              the xy-plane. The coefficients of the first harmonic, descri-  information content and number of variables to be consid-
              bing the ellipse best fitting the original outline, were used to  ered.
              standardize the size and orientation. The Fourier coefficients
              (FC) of one harmonic cannot be considered as independent
                                                                Statistical analyses
              because the variations along x and y are related when
              considering a closed outline. Additionally, performing a
                                                                Estimation of size
              Fourier analysis on both, the variations of x and y lead to
              twice the number of FC as RFT for the same number of  The size of the mandible or of the M1 was estimated by a
              harmonics. Although the high number of variables can be  univariate parameter, derived from the outline analysis. For
              viewed as a shortcoming, EFT provides very accurate  the M1, the RFT provides the zero-harmonic amplitude A 0 as a
              reconstructions, even for complex outlines, and makes visual  size estimator. The size of each mandible was estimated by the
              inspection of the results easier, especially when dealing with  area of the ellipse corresponding to the first harmonic (area
              shape variations of a complex structure like the mandible. As  H1). The relationship of these two parameters with latitude
              both methods provide similar results when compared  was investigated using simple linear regression.

              342                                                                  Journal of Biogeography 34, 339–355
                                                          ª 2006 The Authors. Journal compilation ª 2006 Blackwell Publishing Ltd
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