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First published online July 14, 2008
Journal of Experimental Biology 211, 2423-2430 (2008)
Published by The Company of Biologists 2008
doi: 10.1242/jeb.013094
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Quantifying avian sexual dichromatism: a comparison of methods

Jessica K. Armenta*, Peter O. Dunn and Linda A. Whittingham

University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA


Figure 1
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  		Fig. 1. Comparison of different indices of dichromatism. Geometric mean regression of colour discriminability and segment classification scores against principal component analysis (PCA) scores. Colour discriminability, segment classification and PCA dichromatism scores were calculated using spectrophotometer data. Scores for each index were standardized to a mean of zero and a standard deviation of one. (A) The solid line indicates the regression line of the segment classification scores (b=0.71±0.02) against the PCA scores. (B) The solid line indicates the regression line of the colour discriminability (b=0.70±0.02) scores against the PCA scores.

 

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  		Fig. 2. Assessing dichromatism in the human visual range. Geometric mean regression of segment classification estimates of sexual dichromatism in the human visual (400–700nm) range against human visual estimates (r2=0.73, N=978, P<0.0001). Segment classification scores were calculated using spectrophotometer data. Scores for each index were standardized to a mean of zero and a standard deviation of one.

 

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  		Fig. 3. Relationship between UV and human-visible dichromatism. Geometric mean regression of PCA estimates of dichromatism in the UV range (320–400 nm) against human visual estimates (r2=0.25, N=960, P<0.0001). PCA scores were calculated using spectrophotometer data and human-visible scores are from the study of Dunn and colleagues (Dunn et al., 2001Go). Scores for each index were standardized to a mean of zero and a standard deviation of one.

 

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© The Company of Biologists Ltd 2008