Mevin B. Hooten

The paper develops a method to identify adaptive variation in spatially structured populations using low-coverage whole-genome sequencing data, showing reduced false negatives by accounting for genotype uncertainty and structured migration.

The paper examines how community-climate disequilibrium affects net primary productivity in rangeland ecosystems, finding that mismatched communities are less productive.

The paper assesses adaptive capacity in an alpine species complex using genomics and ecology to identify climate vulnerability across taxonomic scales.

This study assesses climate vulnerability in an alpine bird species by linking population density to habitat features across multiple timescales.

The paper identifies mechanisms of local adaptation in cheatgrass invasion, showing multiple introductions and gene flow contributed to its success in North America.

The paper develops a hierarchical Bayesian model to identify local adaptation by accounting for observational uncertainty and evolutionary processes, finding 30 genes associated with temperature seasonality in Willow Flycatchers.

The paper develops a Bayesian statistical method to infer invasion characteristics of human-dispersed species by integrating life-history dynamics and transportation network data.