Back to Search
Start Over
Model Adequacy and Microevolutionary Explanations for Stasis in the Fossil Record
- Source :
- The American naturalist. 191(4)
- Publication Year :
- 2018
-
Abstract
- Long-term phenotypic stasis is frequently observed in the fossil record, but not readily predicted from microevolutionary theory. To test competing explanations for stasis on macroevolutionary timescales we need reliably estimated parameters from appropriate evolutionary models that adequately describe the evolutionary trait dynamics. Here, we develop tests to assess the adequacy of the most commonly used stasis model in evolutionary biology and apply them to time series of phenotypic traits from fossil lineages. Of the 572 fossil time series we analyzed from the literature, 263 time series showed a better fit to the stasis model relative to alternative models, but only 172 of those fitted the stasis model in both relative and absolute terms. The estimated trait variances from these 172 time series do not correlate with rough proxies of effective population size. Our preliminary investigation of the fixed-optimum hypothesis hence fails to give empirical support to the idea that genetic drift around a constant trait optimum is an explanation for stasis in the fossil record. We argue that optima following stationary processes on the adaptive landscape is a viable hypothesis for stasis that needs further investigation. We end by discussing how investigations of model adequacy can be a valuable approach for increasing our understanding of the dynamics of the adaptive landscape on macroevolutionary timescales.
- Subjects :
- 0106 biological sciences
0301 basic medicine
Population Density
Fossil Record
Models, Genetic
Fitness landscape
Fossils
Phenotypic trait
Biology
Macroevolution
010603 evolutionary biology
01 natural sciences
Biological Evolution
03 medical and health sciences
030104 developmental biology
Phenotype
Effective population size
Genetic drift
Evolutionary biology
Trait
Computer Simulation
Stabilizing selection
Ecology, Evolution, Behavior and Systematics
Subjects
Details
- ISSN :
- 15375323 and 00030147
- Volume :
- 191
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- The American naturalist
- Accession number :
- edsair.doi.dedup.....c3f9bc5ca07198d49fee809673ae5dd0