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Chaos and unpredictability in evolution
- Source :
- EVOLUTION, Artículos CONICYT, CONICYT Chile, instacron:CONICYT
- Publication Year :
- 2014
- Publisher :
- SOCIETY FOR THE STUDY EVOLUTION, 2014.
-
Abstract
- The possibility of complicated dynamic behaviour driven by non-linear feedbacks in dynamical systems has revolutionized science in the latter part of the last century. Yet despite examples of complicated frequency dynamics, the possibility of long-term evolutionary chaos is rarely considered. The concept of "survival of the fittest" is central to much evolutionary thinking and embodies a perspective of evolution as a directional optimization process exhibiting simple, predictable dynamics. This perspective is adequate for simple scenarios, when frequency-independent selection acts on scalar phenotypes. However, in most organisms many phenotypic properties combine in complicated ways to determine ecological interactions, and hence frequency-dependent selection. Therefore, it is natural to consider models for the evolutionary dynamics generated by frequency-dependent selection acting simultaneously on many different phenotypes. Here we show that complicated, chaotic dynamics of long-term evolutionary trajectories in phenotype space is very common in a large class of such models when the dimension of phenotype space is large, and when there are epistatic interactions between the phenotypic components. Our results suggest that the perspective of evolution as a process with simple, predictable dynamics covers only a small fragment of long-term evolution. Our analysis may also be the first systematic study of the occurrence of chaos in multidimensional and generally dissipative systems as a function of the dimensionality of phase space.<br />10 pages, 10 figures
- Subjects :
- FOS: Biological sciences
Populations and Evolution (q-bio.PE)
FOS: Physical sciences
Quantitative Biology::Populations and Evolution
Disordered Systems and Neural Networks (cond-mat.dis-nn)
Chaotic Dynamics (nlin.CD)
Condensed Matter - Disordered Systems and Neural Networks
Quantitative Biology - Populations and Evolution
Nonlinear Sciences - Chaotic Dynamics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- EVOLUTION, Artículos CONICYT, CONICYT Chile, instacron:CONICYT
- Accession number :
- edsair.doi.dedup.....76b5335a9c4588dca805bf2711e1b49a