Ecological Classification Systems (ECS) predict ecological site conditions based on biotic and/or abiotic factors.  Ecological Land Types were identified and mapped for the seven subsections comprising the Shawnee National Forest by utilizing terrain and soil information in a GIS model. Model validation was completed using a fuzzy set process assessment with historical witness tree data and mapped ecological land types. The objective of this research is to provide land managers with a tool for characterizing ecological conditions based on remotely detectable characteristics to inform decision-making processes.

Results/Conclusions

Results confirm the challenges of estimating dominant forest cover types using abiotic characteristics. However, mapped ecological land types provide useful discrete boundaries for defining management areas within the Shawnee National Forest.