Statistical learning and uncommon soil microbiota explain biogeochemical responses after wildfire
A. S. Honeyman, T. S. Fegel, H. F. Peel, N. A. Masters, D. C. Vuono, W. Kleiber, C. C. Rhoades, J. R. Spear
The paper uses statistical learning to predict biogeochemical responses in post-wildfire soils, finding that uncommon microbiota and hybrid models explain most features.
bioRxiv · Feb 6, 2022Microbiology