Self-extinction through optimizing selection

Parvinen K & Dieckmann U (2013). Self-extinction through optimizing selection. Journal of Theoretical Biology: 1-9. DOI:10.1016/j.jtbi.2013.03.025.

Full text not available from this repository.

Abstract

Evolutionary suicide is a process in which selection drives a viable population to extinction. So far such selection-driven self-extinction has been demonstrated in models with frequency-dependent selection. This is not surprising, since frequency-dependent selection can disconnect individual-level and population-level interests through environmental feedback. Hence it can lead to situations akin to the tragedy of the commons, with adaptations that serve the selfish interests of individuals ultimately ruining a population. For frequency-dependent selection to play such a role, it must not be optimizing. Together, all published studies of evolutionary suicide have created the impression that evolutionary suicide is not possible with optimizing selection. Here we disprove this misconception by presenting and analyzing an example in which optimizing selection causes self-extinction. We then take this line of argument one step further by sowing, in a further example, that selection-driven self-extinction can occur even under frequency-independent selection.

Item Type: Article
Uncontrolled Keywords: Adaptive dynamics; Evolutionary suicide; Frequency-dependent selection; Life-history evolution; Tragedy of the commons
Research Programs: Evolution and Ecology (EEP)
Bibliographic Reference: Journal of Theoretical Biology; 333:1-9 (21 September 2013) (Published online 11 April 2013)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:48
Last Modified: 24 Feb 2016 15:15
URI: http://pure.iiasa.ac.at/10406

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313