
Bias in interspecific allometry: examples from morphological scaling in varanid lizards
Author(s) -
PACKARD GARY C.,
BOARDMAN THOMAS J.
Publication year - 2009
Publication title -
biological journal of the linnean society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.906
H-Index - 112
eISSN - 1095-8312
pISSN - 0024-4066
DOI - 10.1111/j.1095-8312.2008.01137.x
Subject(s) - allometry , logarithm , biology , scale (ratio) , range (aeronautics) , statistics , mathematics , transformation (genetics) , scaling , regression , statistical model , ecology , mathematical analysis , geometry , physics , biochemistry , materials science , quantum mechanics , gene , composite material
The traditional approach to allometric analysis entails the fitting of a straight line to logarithmic transformations of the data, after which parameters in a two‐parameter allometric equation are estimated by back‐transformation to the original scale. We re‐examined published data for dimensions of the limbs in 22 species of varanid lizards to illustrate the biases that can be introduced into allometric analyses by applying the aforementioned protocol. Statistical models fit to the original data by linear and nonlinear regression conformed better with underlying assumptions than did models obtained by back‐transformation from logarithms, and the former generally were better than the latter for describing limb dimensions over the full range in body size. Allometric exponents estimated by the traditional method therefore were based on inappropriate and inaccurate statistical models and, consequently, were biased and misleading. Investigators can avoid problems such as these by performing preliminary graphical and statistical analyses on data in their original scale and by validating the fitted model. Logarithmic transformations should be used sparingly and only for cause. © 2009 The Linnean Society of London, Biological Journal of the Linnean Society , 2009, 96 , 296–305.