Abstract

Since its beginnings in the late 18th century the result of modelling in forest science has always been intriguing, because it allows studying plant populations as they travel through space and time in a time-lapse mode, whereas field and lab-based studies of plant development usually take much time. On the other hand models can only approximate reality. For individual-based forest ecology and management models are of particular importance, since this field involves large, complex ecological systems with slow dynamics, where the main lessons can only be learned from simulations based on agent- or individual based models that pull theory and experimental results together and synthesise them.

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