Detecting concerted demographic response across community assemblages using hierarchical approximate Bayesian computation.

ABSTRACT: Methods that integrate population-level sampling from multiple taxa into a single community-level analysis are an essential addition to the comparative phylogeographic toolkit. Detecting how species within communities have demographically tracked each other in space and time is important for understanding the effects of future climate and landscape changes and the resulting acceleration of extinctions, biological invasions, and potential surges in adaptive evolution. Here, we present a statistical framework for such an analysis based on hierarchical approximate Bayesian computation (hABC) with the goal of detecting concerted demographic histories across an ecological assemblage. Our method combines population genetic data sets from multiple taxa into a single analysis to estimate: 1) the p

SUBMITTER: Chan YL 

PROVIDER: S-EPMC4137712 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature