2014 GSA Annual Meeting in Vancouver, British Columbia (19–22 October 2014)

Paper No. 82-4
Presentation Time: 1:45 PM

FOSSIL TAXA READILY SLIDE DOWN TREES WHEN NON-PRESERVATION OF MORPHOLOGY IS CONFLATED WITH PHYLOGENETIC ABSENCE


SANSOM, Robert, University of Manchester, Manchester, M13 9PT, United Kingdom

The utility of fossils in evolutionary contexts is dependent on their accurate placement in phylogenetic frameworks, yet intrinsic and widespread missing data make this problematic. The complex taphonomic processes of decay and preservation can make it difficult to distinguish absence from loss, especially in the case of exceptionally preserved soft-tissue fossils; is a particular morphological character (e.g. appendage, tentacle or nerve) missing from a fossil because it was never there (phylogenetic absence), or just happened to not be preserved (taphonomic loss)? Here, complete taxa, both simulated and empirical, are subjected to data loss through the replacement of present entries (1s) with either missing (?s) or absent (0s) entries. Losses treated as absences cause taxa to drift down trees, from their original position, toward the root with extremely low thresholds for significant change (2 entries replaced, 6 % of present characters). The opposite threshold in empirical fossil taxa is also found to be low; two absent entries replaced with presences causes fossil taxa to drift up trees. As such, only a few losses interpreted as absences will cause fossil organisms to be erroneously interpreted as more primitive than they were in life. This observed sensitivity to coding presents a problem for all evolutionary studies that attempt to use fossils to reconstruct rates of evolution or unlock sequences of morphological change. Stem-ward slippage, whereby fossilization processes cause organisms to appear artificially primitive, appears to be a ubiquitous and problematic phenomenon inherent to missing data, even when no decay biases exist. Absent characters therefore require explicit justification and taphonomic frameworks to support their interpretation.