RT Journal Article
SR Electronic
T1 Extinction and the temporal distribution of macroevolutionary bursts
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 725689
DO 10.1101/725689
A1 Stephen P. De Lisle
A1 David Punzalan
A1 Njal Rollinson
A1 Locke Rowe
YR 2019
UL http://biorxiv.org/content/early/2019/08/05/725689.abstract
AB Phenotypic evolution through deep time is slower than expected from microevolutionary rates. This is the paradox of stasis. Previous models suggest stasis occurs because populations track adaptive peaks that typically move on million-year intervals, raising the equally perplexing question of why peaks shifts are so rare. Here, we consider the possibility that peaks can move more rapidly than populations can adapt, resulting in extinction. We model peak movement with explicit population dynamics, parameterized with published microevolutionary parameters. Allowing extinction greatly increases the parameter space of peak movements that yield the appearance of stasis observed in real data through deep time. Our work highlights population ecology as an important contributor to macroevolutionary dynamics, presenting an alternative perspective on the paradox of stasis where apparent constraint on phenotypic evolution in deep time reflects our restricted view of the subset of earth’s lineages that were fortunate enough to reside on relatively stable peaks.