Genetic variation, which is generated by mutation, recombination and gene flow, can reduce
the mean fitness of a population, both now and in the future. This 'genetic load'has been …

Nearly all genetic variants that influence disease risk have human-specific origins; however,
the systems they influence have ancient roots that often trace back to evolutionary events …

Signals of local adaptation have been found in many plants and animals, highlighting the
heterogeneity in the distribution of adaptive genetic variation throughout species ranges. In …

Insects are among the most diverse and widespread animals across the biosphere and are
well‐known for their contributions to ecosystem functioning and services. Recent increases …

Divergent selection across the landscape can favor the evolution of local adaptation in
populations experiencing contrasting conditions. Local adaptation is widely observed in a …

Generalizing the effect of traits on performance across species may be achievable if traits
explain variation in population fitness. However, testing relationships between traits and vital …

In an epoch of rapid environmental change, understanding and predicting how biodiversity
will respond to a changing climate is an urgent challenge. Since we seldom have sufficient …

Evolutionary biologists tend to approach the study of the natural world within a framework of
adaptation, inspired perhaps by the power of natural selection to produce fitness …

Gradient Forest (GF) is a machine learning algorithm designed to analyze spatial patterns of
biodiversity as a function of environmental gradients. An offset measure between the GF …

Understanding how spatially variable selection shapes adaptation is an area of long-
standing interest in evolutionary ecology. Recent meta-analyses have quantified the extent …