A method for testing the assumption of phylogenetic independence in comparative data

When making a comparison between two or more traits across taxa, the assump tion of phylogenetic independence must be tested. Empirically determining t he validity of this assumption before and after applying a phylogenetically based comparative method (PCM) can provide researchers with a rigorous met hodological approach for analysing comparative data. This approach can help resolve current debates regarding whether it is always appropriate to appl y a PCM, and whether PCMs are in fact successful in accounting for all of t he historical non-independence in comparative data. To use this methodologi cal approach, however, a generally applicable statistical diagnostic that c an test the assumption of phylogenetic independence in comparative data is required. In this context, I present the application of a statistical diagn ostic called the 'test for serial independence'. This diagnostic can be app lied to almost all currently employed PCMs, including Felsenstein's (1985) independent contrasts. Furthermore, I demonstrate the application of the te st for serial independence by analysing three data sets from the literature . The results of these analyses show that this diagnostic can successfully detect different degrees of phylogenetic autocorrelation in small and large phylogenies as well as in different types of phenotypic characters. The ch allenges and difficulties associated with applying the proposed methodologi cal approach and the test for serial independence are discussed.