Student/Graduate Research Assistant University of Georgia, Athens Athens, Georgia, United States
This session explores the application of random survival forests (RSF) to predict tree mortality following disturbances for temperate forests in the southeastern US. The analysis identifies critical stand and environmental factors impacting mortality timing, emphasizing their relative influence on mortality after different disturbance types (e.g., fire, insect).
Learning Objectives:
Upon completion, participants will understand the motivation of using random survival forests (RSF) for predicting time-to-mortality after disturbances in temperate forests.
Upon completion, participants will be able to identify key stand and environmental variables influencing post-disturbance mortality timing in temperate forests.
Upon completion, participants will be able to identify temporal evolution of tree mortality with time among identified important variable levels
