Approximate Bayesian estimation of extinction rate in the Finnish Daphnia magna metapopulation.

ABSTRACT: Approximate Bayesian computation (ABC) is useful for parameterizing complex models in population genetics. In this study, ABC was applied to simultaneously estimate parameter values for a model of metapopulation coalescence and test two alternatives to a strict metapopulation model in the well-studied network of Daphnia magna populations in Finland. The models shared four free parameters: the subpopulation genetic diversity (θS), the rate of gene flow among patches (4Nm), the founding population size (N0) and the metapopulation extinction rate (e) but differed in the distribution of extinction rates across habitat patches in the system. The three models had either a constant extinction rate in all populations (strict metapopulation), one population that was protected from local extinction

SUBMITTER: Robinson JD 

PROVIDER: S-EPMC4615701 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature