Aim We examined differences in the architecture of A frican and A ustralian savanna trees. We sought to attribute variation in tree architecture to current environments, wood density and phylogeny, and thereby elucidate the relative importance of biogeographic idiosyncrasies versus current factors in underpinning architectural differences. Location A frica and A ustralia. Methods We compiled canopy diameters and stem diameters from 4867 trees of 97 species and heights and stem diameters from 10,786 trees of 155 species from a range of A frican and A ustralian savanna ecosystems and climates. Using B ayesian methods we first estimated continental‐scale savanna tree allometries, ignoring species differences. We then examined continental differences in species‐specific allometries accounting for trait covariation using a phylogeny of our study species. Environmental variables and wood density data were included as covariates, allowing us to assess the potential underpinning of regional differences in tree allometries by differences in current environments and traits. Results Substantial allometric differences exist between A ustralian and A frican savanna trees. A ustralian trees are on average 6 m taller at 20 cm diameter, with a 53% smaller canopy area than A frican trees. However, this extreme continental‐scale variation is driven by the architecture of only a few taxa in this study – V achellia and S enegalia versus E ucalyptus and C orymbia – rather than systematic differences between species, wood density and environment. These same genera often dominate the woody strata of S outh A frican and A ustralian savannas, respectively. Main conclusions Stark differences in the architecture of A frican and A ustralian savanna tree taxa are not a product of environmental differences and are not consistent across species. Rather, the most likely explanation is the different evolutionary histories of A frican and A ustralian savannas, which share no woody species. We consider that these architectural differences are likely to impact regional patterns of woody biomass accumulation.
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Moncrieff et al. (2014) studied this question.
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