Linda Eberhardt

The paper uses popGWAS to identify genomic variation predicting drought survival in Fagus sylvatica seedlings, showing wild-collected material outperforms seed bank sources.

This study shows climate change drives rapid genomic selection in Fagus sylvatica, with intense selection on heat and drought stress genes in young growth classes, but high-emission scenarios may exceed adaptive capacity.

This study shows that cryptic genetic variation in Chironomus riparius is dynamically released across a temperature gradient, challenging the idea that such variation only emerges under extreme conditions.

This study predicts forest tree leaf phenology under climate change by combining satellite data with GWAS to identify genetic and environmental drivers of leaf-out and shedding days.

The paper shows that artificial light at night alters gene expression in midges, leading to reduced fertility and population decline.