Uncovering the genetic and evolutionary basis of local adaptation is a major focus of
evolutionary biology. The recent development of cost-effective methods for obtaining high …

Climate change is a threat to biodiversity. One way that this threat manifests is through
pronounced shifts in the geographical range of species over time. To predict these shifts …

Abstract genodive version 3.0 is a user‐friendly program for the analysis of population
genetic data. This version presents a major update from the previous version and now offers …

Local adaptations can determine the potential of populations to respond to environmental
changes, yet adaptive genetic variation is commonly ignored in models forecasting species …

The ongoing loss of biodiversity caused by rapid climatic shifts requires accurate models for
predicting species' responses. Despite evidence that evolutionary adaptation could mitigate …

Identifying adaptive loci can provide insight into the mechanisms underlying local
adaptation. Genotype–environment association (GEA) methods, which identify these loci …

Based on population genomic and environmental data, genomewide ecological association
studies aim at detecting allele frequencies that exhibit significant statistical association with …

Landscape genomics is an emerging research field that aims to identify the environmental
factors that shape adaptive genetic variation and the gene variants that drive local …

Inference of individual ancestry coefficients, which is important for population genetic and
association studies, is commonly performed using computer-intensive likelihood algorithms …

Rapid global climate change is posing a substantial threat to biodiversity. The assessment of
population vulnerability and adaptive capacity under climate change is crucial for informing …