The distance-based linear modeling (DistLM) sequential tests identifying the environmental variables that best predict the variation in the patterns in the composition of the Total Bacterial and the Total Fungal Genera communities, in soils from 3 different forest types in the Maquenque National Wildlife Refuge in the Northern Zone of Costa Rica, before and after Hurricane Otto.

The variables considered were soil temperature, % Water, total organic carbon (TOC), total nitrogen (TN), nitrate (NO3-), ammonium (NH4+), Biomass C, and Biomass C/TOC. Stepwise sequential tests were used, following AICc criteria. The Pseudo-F and p values are given along with the cumulative proportion of the total variation (Cv Prop) for the best predictive model.