🧪🌎 We have a conceptually similar method, RDAforest, just published with @kristinaleilani.bsky.social - only it is about predicting genetic adaptation across unsampled landscape doi.org/10.1111/1755...

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 🧪🌏

We applied RDAforest for detecting genotype-environment associations and found that within-lineage variation was cumulatively explained by water chemistry (nitrogen, phosphorus, silicate, and salinity). Thermal parameters were also consistently important but had a relatively low explanatory power.

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

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

RDAforest: identifying environmental drivers of polygenic adaptation. https://www.biorxiv.org/content/10.1101/2024.10.21.619525v1

RDAforest: identifying environmental drivers of polygenic adaptation. https://www.biorxiv.org/content/10.1101/2024.10.21.619525v1