Marc Grünig, Werner Rammer, Katharina Albrich, Frédéric André, Andrey L D Augustynczik, Friedrich Bohn, Meike Bouwman, Harald Bugmann, Alessio Collalti, Irina Cristal, Daniela Dalmonech, Miquel De Caceres, Francois De Coligny, Laura Dobor, Christina Dollinger, David I Forrester, Jordi Garcia-Gonzalo, José Ramón González, Ulrike Hiltner, Tomáš Hlásny, Juha Honkaniemi, Nica Huber, Mathieu Jonard, Anna Maria Jönsson, Fredrik Lagergren, Mats Nieberg, Marco Mina, Frits Mohren, Christine Moos, Xaxier Morin, Bart Muys, Mikko Peltoniemi, Christopher Po Reyer, Ilié Storms, Dominik Thom, Maude Toïgo, Rupert Seidl
Process-based forest models combine biological, physical, and chemical process understanding to simulate forest dynamics as an emergent property of the system. As such, they are valuable tools to investigate the effects of climate change on forest ecosystems. Specifically, they allow testing of hypotheses regarding long-term ecosystem dynamics and provide means to assess the impacts of climate scenarios on future forest development. As a consequence, numerous local-scale simulation studies have been conducted over the past decades to assess the impacts of climate change on forests...
June 2024: Data in Brief