WP1: Forest Models


The forest modelling topic will focus on the exchange of forest growth models existing in Europe, Chile, Brazil and United States, either process based, empirical or combined models that use process-based modules enriched by several prediction modules developed using statistical techniques. Models will be tested and calibrated in different regions and for different species, primarily fast-growing species. Another area of interest will be the use of forest models to assess the impact of climate change as well as of intensification of silviculture. The use of models to analyse sustainability of forest management will also be covered, including the ability to estimate several sustainability indicators: environmental, economic and social. The use of models to support decision making in forest management and policy is a very important topic that might also gain from the exchange of experiences between Europe and America.


  • Enhance quality and consistency of forest modelling for simulating forest resources dynamics at various scales under alternative management and climatic scenarios.
  • Develop models for non-wood products and services.
  • Develop models to predict wood properties under different conditions.
  • Model the risk occurrence and effect of insects and diseases outbreaks, fires or storms.
  • Develop strategies for models and/or simulators to predict environmental indicators.
  • Develop strategies for models and/or simulators to predict social indicators.
  • Develop models for clonal forests.
  • Operationalise the use of process-based models to support forest management.
  • Develop of improved models for adaptive forest management .


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