GRSM WETLANDS MAXENT

I&M Staff in conjunction with a University of Tennessee graduate student developed maximum entropy (specifically the program MaxEnt) distribution models to predict wetland occurrence. Because MaxEnt is able to account for interactions among landscape features and climate variables, it is an ideal modeling approach for predicting the probability of finding a wetland across the park’s complex topography. Model outputs were based on 24 environmental variables (e.g., slope, microtopography, rainfall, etc.) at a 30x30 m grid cell resolution. The corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park Wetlands MaxEnt Model.