Simulating local adaptation to climate of forest trees with a Physio-Demo-Genetics model.

ABSTRACT: One challenge of evolutionary ecology is to predict the rate and mechanisms of population adaptation to environmental variations. The variations in most life history traits are shaped both by individual genotypic and by environmental variation. Forest trees exhibit high levels of genetic diversity, large population sizes, and gene flow, and they also show a high level of plasticity for life history traits. We developed a new Physio-Demo-Genetics model (denoted PDG) coupling (i) a physiological module simulating individual tree responses to the environment; (ii) a demographic module simulating tree survival, reproduction, and pollen and seed dispersal; and (iii) a quantitative genetics module controlling the heritability of key life history traits. We used this model to investigate the plas

SUBMITTER: Oddou-Muratorio S 

PROVIDER: S-EPMC4001444 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature