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The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests

Reyer, Christopher P. O. ; Silveyra Gonzalez, Ramiro ; Dolos, Klara ; Hartig, Florian ; Hauf, Ylva ; Noack, Matthias ; Lasch-Born, Petra ; Rötzer, Thomas ; Pretzsch, Hans ; Meesenburg, Henning ; Fleck, Stefan ; Wagner, Markus ; Bolte, Andreas ; Sanders, Tanja G. M. ; Kolari, Pasi ; Mäkelä, Annikki ; Vesala, Timo ; Mammarella, Ivan ; Pumpanen, Jukka ; Collalti, Alessio ; Trotta, Carlo ; Matteucci, Giorgio ; D'Andrea, Ettore ; Foltýnová, Lenka ; Krejza, Jan ; Ibrom, Andreas ; Pilegaard, Kim ; Loustau, Denis ; Bonnefond, Jean-Marc ; Berbigier, Paul ; Picart, Delphine ; Lafont, Sébastien ; Dietze, Michael ; Cameron, David ; Vieno, Massimo ; Tian, Hanqin ; Palacios-Orueta, Alicia ; Cicuendez, Victor ; Recuero, Laura ; Wiese, Klaus ; Büchner, Matthias ; Lange, Stefan ; Volkholz, Jan ; Kim, Hyungjun ; Horemans, Joanna A. ; Bohn, Friedrich ; Steinkamp, Jörg ; Chikalanov, Alexander ; Weedon, Graham P. ; Sheffield, Justin ; Babst, Flurin ; Vega del Valle, Iliusi ; Suckow, Felicitas ; Martel, Simon ; Mahnken, Mats ; Gutsch, Martin ; Frieler, Katja



Zusammenfassung

Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database (PROFOUND DB) provides a wide range of empirical data on European forests to calibrate and evaluate vegetation models that ...

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