Model-driven individual-based forest ecology and individual-based methods in forest management are of increasing importance
in many parts of the world. For the first time this book integrates three main fields of forest ecology and management, i.e.
tree/plant interactions, biometry of plant growth and human behaviour in forests. Individual-based forest ecology and management
is an interdisciplinary research field with a focus on how the individual behaviour of plants contributes to the formation
of spatial patterns that evolve through time. Key to this research is a strict bottom-up approach where the shaping and characteristics
of plant communities are mostly the result of interactions between plants and between plants and humans. This book unites
important methods of individual-based forest ecology and management from point process statistics, individual-based modelling,
plant growth science and behavioural statistics. For ease of access, better understanding and transparency the methods are
accompanied by R code and worked examples.