Abstract
AbstractCladistic character matrices are routinely repurposed in analyses of morphological disparity. Unfortunately, the sampling of taxa and characters within such datasets reflects their intended application (to resolve phylogeny, rather than distinguish between phenotypes) resulting in tree shapes that often misrepresent broader taxonomic and morphological diversity. Here we use tree shape as a proxy to explore how sampling can affect perceptions of evolving morphological disparity. Through analyses of simulated and empirical data, we demonstrate that sampling can introduce biases in morphospace occupation between clades that are predicted by differences in tree symmetry and branch length distribution. Symmetrical trees with relatively long internal branches predict more expansive patterns of morphospace occupation. Conversely, asymmetrical trees with relatively short internal branches predict more compact distributions. Additionally, we find that long external branches predict greater phenotypic divergence by peripheral morphotypes. Taken together, our results caution against the uncritical repurposing of cladistic datasets in disparity analyses. However, they also demonstrate that when morphological diversity is proportionately sampled, differences in tree shape between clades can speak to genuine differences in morphospace occupation. While cladistic datasets may serve as a useful starting point, disparity datasets must attempt to achieve uniformity in lineage sampling across time and topology. Only when all potential sources of bias are accounted for can evolutionary phenomena be distinguished from artefactual signals. It must be accepted that the non‐uniformity of the fossil record may preclude representative sampling and, therefore, a faithful characterization of the evolution of morphological disparity.
Highlights
Cladistic character matrices are routinely repurposed in analyses of morphological disparity
Sampling practices employed in the construction of cladistic datasets can introduce artefacts that manifest in analyses of morphological disparity
Symmetrical trees with relatively long internal branches predict greater dispersion within morphospace, while asymmetrical trees with relatively short internal branches are predictive of more compact distributions
Summary
Cladistic character matrices are routinely repurposed in analyses of morphological disparity. Our results caution against the uncritical repurposing of cladistic datasets in disparity analyses They demonstrate that when morphological diversity is proportionately sampled, differences in tree shape between clades can speak to genuine differences in morphospace occupation. Cladistic datasets often possess characteristics that are beneficial in analyses of phylogeny but confounding in disparity analyses These include biases in character sampling, which have been explored to some extent (Cisneros & Ruta 2010; Ruta & Wills 2016; Deline et al 2018), and taxon sampling (e.g. living vs fossil and ingroup vs outgroup taxa), which can result in biased tree shapes that do not faithfully represent diversity, either in terms of symmetry or branch lengths.
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