Brenna R. Forester

TL;DR: This study indicates that RDA is an effective means of detecting adaptation, including signatures of weak, multilocus selection, providing a powerful tool for investigating the genetic basis of local adaptation.

TL;DR: An approach to assess the impacts of global climate change on biodiversity that takes into account adaptive genetic variation and evolutionary potential is presented, showing that considering local climatic adaptations reduces range loss projections but increases the potential for competition between species.

TL;DR: The strength of local adaptation increased in spatially aggregated selection regimes, but remained strong in patchy landscapes when selection was moderate to strong, suggesting weak selection resulted in weak local adaptation that was relatively unaffected by landscape heterogeneity.

TL;DR: An adaptive management framework is offered to help conservation biologists and managers decide when genomics is likely to be effective in detecting local adaptation, and how to plan assessment and monitoring of adaptive variation to address conservation objectives.

TL;DR: Samβada as discussed by the authors identifies candidate loci using genotype-environment associations while also incorporating multivariate analyses to assess the effect of many environmental predictor variables, which enables the inclusion of explanatory variables representing population structure into the models to lower the occurrences of spurious genotypeenvironment associations.