Forest Sciences Commons^™

An Individual-Based Process Model To Simulate Landscape-Scale Forest Ecosystem Dynamics, Rupert Seidi, Werner Rammer, Robert M. Scheller, Thomas A. Spies

Environmental Science and Management Faculty Publications and Presentations

Forest ecosystem dynamics emerges from nonlinear interactions between adaptive biotic agents (i.e., individual trees) and their relationship with a spatially and temporally heterogeneous abiotic environment. Understanding and predicting the dynamics resulting from these complex interactions is crucial for the sustainable stewardship of ecosystems, particularly in the context of rapidly changing environmental conditions. Here we present iLand (the individual-based forest landscape and disturbance model), a novel approach to simulating forest dynamics as an emergent property of environmental drivers, ecosystem processes and dynamic interactions across scales. Our specific objectives were (i) to describe the model, in particular its novel approach to simulate …