Collin W. Ahrens

The paper examines genomic variation across nine co-occurring plant species in an Australian mountain range, finding shared spatial patterns but differing associations with geographic and environmental factors.

The paper examines how environmental pressures shape genomic variation in co-occurring plant species, finding both shared and unique genotype-environment associations across species.

The paper uses genomic data to predict disease resistance in Melaleuca quinquenervia, enabling marker-assisted restoration efforts against myrtle rust.

The paper introduces a framework for managing safe haven populations to enhance evolutionary resilience and persistence of threatened species through genetic and demographic simulations.

The paper analyzes koala genomes to show that population growth can increase effective population size, helping populations escape inbreeding risks despite past bottlenecks.

This study examines how filtering genotype-by-sequencing data affects genotype-environment association results and provides recommendations for optimal filtering practices.

This study examines how spatial, environmental, and ploidy factors influence genomic diversity and resilience in the grass species Themeda triandra.