Data from: Seeing the Forest for the trees: Assessing genetic offset predictions from Gradient Forest

Áki Jarl Láruson, Matthew Fitzpatrick, Stephen Keller, Benjamin Haller & Katie Lotterhos
Gradient Forest (GF) is a machine learning algorithm designed to analyze spatial patterns of biodiversity as a function of environmental gradients. An offset measure between the GF predicted environmental association of adapted alleles and a new environment (GF Offset), is increasingly being used to predict the loss of environmentally adapted alleles under rapid environmental change, but remains mostly untested for this purpose. Here we explore the robustness of GF Offset to assumption violations, and its...
1 citation reported since publication in 2022.
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