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Published on 30.11.2018

Use of machine learning techniques to model wind damage to forests

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Manual for the European Forest Information Scenario Model (EFISCEN 2.0) Rach.Colling Thu, 10.18.2018 - 09:17

Technical Report 5

A. Pussinen, M.J. Schelhaas, E. Verkaik, E. Heikkinen, J. Liski, T. Karjalainen, R. Päivinen, G.J. Nabuurs
Simulation of long-term dynamics of forest wildfires in Russia with Marcovian model Rach.Colling Thu, 10.18.2018 - 09:10

Technical Report 10

Andrei P. Kirilenko
Fire Effects on Forest Resource Development in the French Mediterranean Region – Projections with a Large-Scale Forest Scenario Model Rach.Colling Thu, 10.18.2018 - 09:04

Technical Report 16

Jeannette Meyer
Model documentation for the European Forest Information Scenario model (EFISCEN 3.1.3) Rach.Colling Thu, 10.18.2018 - 08:21

Technical Report 26

Mart-Jan Schelhaas, Jeannette Eggers, Marcus Lindner, Gert-Jan Nabuurs, Ari Pussinen, Risto Päivinen, Andreas Schuck, P.J. Verkerk, D.C. van der Werf, Sergey Zudin
An updated and further elaborated policy database and A tested prototype of policy analysis interface for ToSIA Rach.Colling Thu, 10.18.2018 - 07:36

Technical Report 38

Filip Aggestam, Gerhard Weiss
Options for the policy analysis interface of ToSIA Rach.Colling Thu, 10.18.2018 - 07:34

Technical Report 39

Thomas Vogelpohl, Ewald Rametsteiner
An updated and further elaborated policy database Rach.Colling Thu, 10.18.2018 - 07:30

Technical Report 40

Thomas Vogelpohl, Ewald Rametsteiner, Filip Aggestam
Database of case studies and EU-FWC and summary report of database development (update) Rach.Colling Thu, 10.18.2018 - 07:27

Technical Report 41

Institute of Forest Ecosystem Research
Documentation of the Forest Sector Model Rach.Colling Thu, 10.18.2018 - 07:23

Technical Report 43

Norwegian University of Life Sciences