Detecting the extrinsic selective pressures shaping genomic variation is critical for a better
understanding of adaptation and for forecasting evolutionary responses of natural …

A key action of the new Global Biodiversity Framework is the maintenance of genetic
diversity in all species to safeguard their adaptive potential. To achieve this goal, a …

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 …

In nature conservation, there is keen interest in predicting how populations will respond to
environmental changes such as climate change. These predictions can help determine …

Gradient Forests (GF) is a machine learning algorithm that is gaining in popularity for
studying the environmental drivers of genomic variation and for incorporating genomic …

Methods using genomic information to forecast potential population maladaptation to climate
change or new environments are becoming increasingly common, yet the lack of model …

The assessment of population vulnerability under climate change is crucial for planning
conservation as well as for ensuring food security. Coffea canephora is, in its native habitat …

Abstract Background and Aims Understanding adaptive genetic variation and whether it can
keep pace with predicted future climate change is critical in assessing the genetic …

Genomic data are increasingly being integrated into macroecological forecasting, offering
an evolutionary perspective that has been largely missing from global change …

Introduction Ecological genomic models are increasingly used to guide climate-conscious
restoration and conservation practices in the light of accelerating environmental change …