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Output details

11 - Computer Science and Informatics

Keele University

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Output 4 of 24 in the submission
Output title

Critical mutation rate has an exponential dependence on population size

Type
E - Conference contribution
Name of conference/published proceedings
Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems
Volume number
-
Issue number
-
First page of article
117
ISSN of proceedings
-
Year of publication
2011
URL
-
Number of additional authors
4
Additional information

<28>As highlighted by E. O. Wilson, slowing the unnaturally high rate of species extinction is today's most important global challenge, necessitating an improved understanding of extinction factors. This paper reveals for the first time that as population size falls, the 'critical mutation rate' above which fitter alleles are lost transitions unexpectedly from near-constant (the previous assumption in evolutionary biology) to drop exponentially for small populations, leaving them spiralling toward extinction. This new understanding has great potential to aid population management and prevent extinctions. The model closely reproduces the less significant relationship between population size and 'error threshold'. EPSRC project EP/H031936/1.

Interdisciplinary
Yes
Cross-referral requested
-
Research group
B - Computational Intelligence and Cognitive Science
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-