Predicting amphibian intraspecific diversity with machine learning: Challenges and prospects for integrating traits, geography, and genetic data
L. N. Barrow, E. Masiero da Fonseca, C. E. P. Thompson, B. C. Carstens
The paper uses machine learning to predict intraspecific genetic diversity in amphibians by integrating traits, geography, and genetic data, finding significant phylogenetic signal and lower diversity in northern salamanders.
bioRxiv · May 3, 2020Evolutionary Biology