The primate cranial base: ontogeny, function and - Harvard University
The primate cranial base: ontogeny, function and - Harvard University
The primate cranial base: ontogeny, function and - Harvard University
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D.E. Lieberman et al.]<br />
PRIMATE CRANIAL BASE 133<br />
TABLE 2. Variance components for indices of relative brain size <strong>and</strong> measures of flexion across <strong>primate</strong>s 1<br />
Level<br />
N<br />
IRE1 IRE5 CBA4 CBA1<br />
% N eff % N eff % N eff % N eff<br />
Infraorder 2 12 0.24 48 0.94 0 0 52 1.05<br />
Superfamily 6 22 1.34 10 0.62 34 2.07 0 0.00<br />
Family 15 54 8.16 16 2.44 44 6.56 35 5.19<br />
Genus 60 13 7.81 22 12.99 17 10.26 8 4.74<br />
Species 62 1 0.78 3 2.38 5 3.10 5 3.25<br />
Total N eff 18.33 17.38 21.99 14.23<br />
df 16.00 15.00 20.00 12.00<br />
1 Maximum likelihood variance components were calculated using mainframe SAS (proc varcomp). %, percentage of variance at<br />
each taxonon 1 mic level; N eff , effective N at each level; Total N eff , total effective N for each variable. Bivariate comparisons utilize<br />
lowest N eff of the pair.<br />
TABLE 3. Correlation coefficients for <strong>primate</strong>s <strong>and</strong> haplorhini 1<br />
Variables CBA4 N (P) df eff (P) CBA1 N (P) df eff (P)<br />
Primates<br />
IRE1 0.783 60 (0.001) 14 (0.01) 0.672 60 (0.001) 10 (0.05)<br />
IRE5 0.621 60 (0.001) 13 (0.05) 0.790 62 (0.001) 10 (0.01)<br />
Haplorhini<br />
IRE1 0.813 51 (0.001) 9 (0.01) 0.641 51 (0.001) 9 (0.05)<br />
IRE5 0.636 51 (0.001) 10 (0.05) 0.548 51 (0.001) 14 (0.05)<br />
1 N, total N; d eff ,N eff 2, effective degrees of freedom for each comparison. Bivariate comparisons utilize lowest N eff of the pair.<br />
flexion expected for their relative brain size,<br />
depending on which measures are used.<br />
One problem with the above studies is<br />
that they do not consider the potential role<br />
of phylogenetic effects on these correlations<br />
(Cheverud et al., 1985; Felsenstein, 1985).<br />
Accordingly, the above data were reanalyzed<br />
using the method of Smith (1994) for<br />
adjusting degrees of freedom. 3 Table 2 presents<br />
the percentage of total variance distributed<br />
at each taxonomic level within the<br />
order Primates. Table 3 presents the correlation<br />
coefficients for comparisons of CBA<br />
<strong>and</strong> IRE for Primates <strong>and</strong> Haplorhini, along<br />
with sample sizes, degrees of freedom adjusted<br />
for phylogeny (df eff ), <strong>and</strong> their associated<br />
P-values (for which strepsirrhines<br />
had no significant correlations). Examination<br />
of the variance components in Table 2<br />
shows that the relationship between <strong>cranial</strong><br />
<strong>base</strong> angle <strong>and</strong> relative brain size is subject<br />
to significant phylogenetic effects. However,<br />
3 Unlike methods such as “independent contrasts” (e.g., Purvis<br />
<strong>and</strong> Rambaut, 1995), Smith’s method uses values for variables in<br />
just terminal taxa, therefore avoiding potentially spurious estimates<br />
of these values for ancestral nodes. Smith’s method is also<br />
more robust when five or fewer taxonomic levels are considered<br />
<strong>and</strong> is less affected by arbitrary taxonomic groupings (Nunn,<br />
1995). We also used the maximum likelihood method for calculating<br />
variance components rather than a nested ANOVA<br />
method because maximum likelihood does not generate negative<br />
variance components.<br />
the method of Smith (1994) is conservative<br />
<strong>and</strong> the correlations that survive these corrected<br />
degrees of freedom are robust, although<br />
of relatively low magnitude. Across<br />
<strong>primate</strong>s <strong>and</strong> haplorhines, both CBA4 <strong>and</strong><br />
CBA1 are significantly correlated (P 0.05)<br />
with IRE5 (Fig. 8; Table 2). <strong>The</strong>se results<br />
corroborate the results of Ross <strong>and</strong> Ravosa<br />
(1993), but with a more appropriate measure<br />
of basi<strong>cranial</strong> length incorporated into<br />
the measure of relative brain size. This confirms<br />
that brain size relative to basi<strong>cranial</strong><br />
length is significantly correlated with basi<strong>cranial</strong><br />
flexion, but that the correlations are<br />
not particularly strong, indicating that<br />
there may be other important influences on<br />
the degree of basi<strong>cranial</strong> flexion (see below).<br />
Most hypotheses explaining basi<strong>cranial</strong><br />
flexion have focused on increases in relative<br />
brain size as the variable driving flexion.<br />
However, as Strait (1999) has noted, it is<br />
important to consider the scaling relationships<br />
of basi<strong>cranial</strong> length <strong>and</strong> brain size.<br />
Using interspecific data from Ross <strong>and</strong> Ravosa<br />
(1993) in conjunction with other studies,<br />
Strait (1999) found that basi<strong>cranial</strong><br />
length scales with negative allometry<br />
against body mass <strong>and</strong> telencephalon volume<br />
(results confirmed here using BL2 instead<br />
of BL1; see Table 4), <strong>and</strong> BL2 also