RDAforest: Identifying Environmental Drivers of Polygenic Adaptation Identifying environmental gradients driving genetic adaptation is one of the major goals of ecological genomics. We present RDAforest, a methodology that leverages the predominantly polygenic nature ....

🧪 We show this problem with turnover-based predictions in simulations described in our paper on #RDAforest. Solution: use boundaries from turnover-based predictions, but rely on direct predictions from #randomforest to infer states. doi.org/10.1111/1755...

RDAforest: Identifying Environmental Drivers of Polygenic Adaptation

New paper is out! We infer "isolation by environment" across landscape using random forest regression, and show how the resulting model (predicting optimal environment based on genotype) can be used in conservation. onlinelibrary.wiley.com/doi/epdf/10.... #RDAforest #GEA 🧪🌏

#RDAforest preprint update: now with conservation genetics applications www.biorxiv.org/content/10.1... @kristinaleilani.bsky.social 🧪🌎

Maps showing distribution of risks for planning conservation interventions

#RDAforest preprint update: now with practical conservation genetics applications (Fig.5). www.biorxiv.org/content/10.1... @kristinaleilani.bsky.social