Models

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Plausible scenarios of future land use derived from model projections may differ substantially from what is actually desired by society, and identifying such mismatches is important for identifying
Land use
Mediterranean
Models
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This paper tested the ability of machine learning techniques, namely artificial neural networks and random forests, to predict the individual trees within a forest most at risk of damage in storms.
Models
Planted forests
Risk
Storms
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More information Recommended citation: A. Pussinen, M.J. Schelhaas, E. Verkaik, E. Heikkinen, J. Liski, T. Karjalainen, R. Päivinen and G.J. Nabuurs. 2001. Manual for the European Forest Information
Models
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More information Recommended citation: Andrei P. Kirilenko. 2002. Simulation of long-term dynamics of forest wildfires in Russia with Marcovian model. Internal Report 10. European Forest Institute
Forest fires
Models
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More information Recommended citation: Jeannette Meyer. 2005. Fire Effects on Forest Resource Development in the French Mediterranean Region – Projections with a Large-Scale Forest Scenario Model. EFI
Forest fires
Models