Millions of acres of pine dominated forests are burned each year in the Coastal Plain region of the Southeastern US. Many prescribed fires in the southeast are conducted to restore or maintain longleaf pine forests, once a dominant feature in the Southeast but now only occupying less than 5% of their pre-settlement extent. In order to effectively conduct prescribed burning in longleaf pine forests while leaving the overstory intact (i.e., minimizing fire-induced mortality of canopy trees), we must be able to predict how longleaf pine trees would respond across a gradient of burning conditions. To better plan for fire effects, predictive models such as FOFEM (First Order Fire Effects Model) are needed. Currently, FOFEM has been used by thousands of fire and land managers across the United States. It synthesizes the results of many empirical fire effects studies into one computer program that can be easily and quickly used by novice and expert resource managers. However, most empirical models within FOFEM have been developed exclusively based on data from western conifer forests. It is commonly acknowledged that empirical models lack generality and cannot be applied beyond the specific conditions on which they are based. Our study modified FOFEM for use in the Coastal Plain region of the Southeastern US. Specifically, we compiled data from published and unpublished fire studies and used these compiled data to recalibrate the existing models or to develop new models for use in FOFEM.