Intraspecific variation plays a critical role in extant and future forest responses to climate
change. Forest tree species with wide climatic niches rely on the intraspecific variation …

Sky islands are unique geologic formations, home to populations of organisms that have
weathered climate change since the Pleistocene. Long-term isolation and climatic …

Machine learning techniques for crop genomic selections, especially for single-environment
plants, are well-developed. These machine learning models, which use dense genome …

Forest ecosystems are increasingly challenged by extreme events, for example, drought,
storms, pest attacks, and fungal pathogen outbreaks, causing severe ecological and …

The effects of selection on an organism's genome are hard to detect on small spatial scales,
as gene flow can swamp signatures of local adaptation. Therefore, most genome scans to …

A decade of genetic association studies in multiple organisms suggests that most complex
traits are polygenic; that is, they have a genetic architecture determined by numerous loci …

Deciding how to establish woodland in forest restoration is not straightforward as different
outcomes may be obtained from different establishment approaches, each with cost …

The contribution of genetic adaptation and plasticity to intraspecific phenotypic variability
remains insufficiently studied in long‐lived plants, as well as the relevance of neutral versus …

Predicting how tree populations will respond to climate change is an urgent societal
concern. An increasingly popular way to make such predictions is the genomic offset (GO) …

Abstract Background and Aims Assessing adaptive genetic variation and its spatial
distribution is crucial to conserve forest genetic resources and manage species' adaptive …