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Computer simulations show that Neanderthal facial morphology represents adaptation to cold and high energy demands, but not heavy biting

Authors :
Michael Curry
Jean-Jacques Hublin
Jason Bourke
Ottmar Kullmer
Stefano Benazzi
S.P. Evans
Chris Stringer
Todd R. Yokley
Luca Fiorenza
Todd C. Rae
Stephen Wroe
Justin A. Ledogar
William C. H. Parr
Wroe, Stephen
Parr, William C. H.
Ledogar, Justin A.
Bourke, Jason
Evans, Samuel P.
Fiorenza, Luca
Benazzi, Stefano
Hublin, Jean-Jacque
Stringer, Chri
Kullmer, Ottmar
Curry, Michael
Rae, Todd C.
Yokley, Todd R.
Publication Year :
2018
Publisher :
The Royal Society, 2018.

Abstract

Three adaptive hypotheses have been forwarded to explain the distinctive Neanderthal face: (i) an improved ability to accommodate high anterior bite forces, (ii) more effective conditioning of cold and/or dry air and, (iii) adaptation to facilitate greater ventilatory demands. We test these hypotheses using three-dimensional models of Neanderthals, modern humans, and a close outgroup ( Homo heidelbergensis ), applying finite-element analysis (FEA) and computational fluid dynamics (CFD). This is the most comprehensive application of either approach applied to date and the first to include both. FEA reveals few differences between H. heidelbergensis , modern humans, and Neanderthals in their capacities to sustain high anterior tooth loadings. CFD shows that the nasal cavities of Neanderthals and especially modern humans condition air more efficiently than does that of H. heidelbergensis , suggesting that both evolved to better withstand cold and/or dry climates than less derived Homo . We further find that Neanderthals could move considerably more air through the nasal pathway than could H. heidelbergensis or modern humans, consistent with the propositions that, relative to our outgroup Homo , Neanderthal facial morphology evolved to reflect improved capacities to better condition cold, dry air, and, to move greater air volumes in response to higher energetic requirements.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....598a707a524f7035a173ac5e1cf69486