Abstract The California Conservation Genomics Project (CCGP) is a unique, critically
important step forward in the use of comprehensive landscape genetic data to modernize …

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 …

Key message Adaptation of forest management to climate change requires an
understanding of the effects of climate on forests, industries and communities; prediction of …

Local adaptation is a central feature of most species occupying spatially heterogeneous
environments, and may factor critically in responses to environmental change. However …

Gene flow among populations can enhance local adaptation if it introduces new genetic
variants available for selection, but strong gene flow can also stall adaptation by swam** …

Detecting genetic variants under selection using FST outlier analysis (OA) and
environmental association analyses (EAAs) are popular approaches that provide insight into …

Animal and plant species around the world are being challenged by the deleterious effects
of inbreeding, loss of genetic diversity, and maladaptation due to widespread habitat …

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 breeding of forest trees is only a few decades old, and is a much more complicated,
longer, and expensive endeavor than the breeding of agricultural crops. One breeding cycle …

Testing how populations are locally adapted and predicting their response to their future
environment is of key importance in view of climate change. Landscape genomics is a …