Articles | Volume 12, issue 2
https://doi.org/10.5194/essd-12-1295-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-1295-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
12 Jun 2020
Data description paper |
| 12 Jun 2020
| 12 Jun 2020
The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests
Christopher P. O. Reyer
CORRESPONDING AUTHOR
Potsdam Institute for Climate Impact Research, Member of the Leibniz
Association, P.O. Box 601203, 14412 Potsdam, Germany
Ramiro Silveyra Gonzalez
Potsdam Institute for Climate Impact Research, Member of the Leibniz
Association, P.O. Box 601203, 14412 Potsdam, Germany
Klara Dolos
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Florian Hartig
Faculty of Biology and Pre-Clinical Medicine, University of Regensburg, Regensburg, Germany
Ylva Hauf
Potsdam Institute for Climate Impact Research, Member of the Leibniz
Association, P.O. Box 601203, 14412 Potsdam, Germany
Matthias Noack
Fachagentur Nachwachsende Rohstoffe e.V. (FNR), Gülzow-Prüzen, Germany
Petra Lasch-Born
Potsdam Institute for Climate Impact Research, Member of the Leibniz
Association, P.O. Box 601203, 14412 Potsdam, Germany
Thomas Rötzer
Department of Ecology and Ecosystem Management, Technical University of Munich, Munich, Germany
Hans Pretzsch
Department of Ecology and Ecosystem Management, Technical University of Munich, Munich, Germany
Henning Meesenburg
Northwest German Forest Research Institute, Göttingen, Germany
Stefan Fleck
Northwest German Forest Research Institute, Göttingen, Germany
Markus Wagner
Northwest German Forest Research Institute, Göttingen, Germany
Andreas Bolte
Thünen Institute of Forest Ecosystems, 16225 Eberswalde, Germany
Tanja G. M. Sanders
Thünen Institute of Forest Ecosystems, 16225 Eberswalde, Germany
Pasi Kolari
Department of Forest Sciences, University of Helsinki, Helsinki, Finland
Annikki Mäkelä
Department of Forest Sciences, University of Helsinki, Helsinki, Finland
Timo Vesala
Department of Forest Sciences, University of Helsinki, Helsinki, Finland
Ivan Mammarella
Department of Forest Sciences, University of Helsinki, Helsinki, Finland
Jukka Pumpanen
Biogeochemistry Research Group, University of Eastern Finland, Kuopio, Finland
Alessio Collalti
National Research Council of Italy, Institute for Agriculture and
Forestry Systems in the Mediterranean, Perugia (PG), Italy
Department of Innovation in Biological, Agro-food and Forest System,
University of Tuscia, 01100 Viterbo, Italy
Carlo Trotta
Department of Innovation in Biological, Agro-food and Forest System,
University of Tuscia, 01100 Viterbo, Italy
Giorgio Matteucci
National Research Council of Italy, Institute for Agriculture and
Forestry System in the Mediterranean, Ercolano (NA), Italy
Ettore D'Andrea
National Research Council of Italy, Institute for Agriculture and
Forestry System in the Mediterranean, Ercolano (NA), Italy
Lenka Foltýnová
Global Change Research Institute, Brno, Czech Republic
Jan Krejza
Global Change Research Institute, Brno, Czech Republic
Andreas Ibrom
Department of Environmental Engineering, Technical University of Denmark, Lyngby, Denmark
Kim Pilegaard
Department of Environmental Engineering, Technical University of Denmark, Lyngby, Denmark
Denis Loustau
French National Institute for Agricultural Research, Bordeaux, France
Jean-Marc Bonnefond
French National Institute for Agricultural Research, Bordeaux, France
Paul Berbigier
French National Institute for Agricultural Research, Bordeaux, France
Delphine Picart
French National Institute for Agricultural Research, Bordeaux, France
Sébastien Lafont
French National Institute for Agricultural Research, Bordeaux, France
Michael Dietze
Department of Earth & Environment, Boston University, Boston, USA
David Cameron
Centre for Ecology and Hydrology, Edinburgh, UK
Massimo Vieno
Centre for Ecology and Hydrology, Lancaster, UK
Hanqin Tian
School of Forestry and Wildlife Sciences, Auburn University, Auburn, USA
Alicia Palacios-Orueta
Departamento de Silvopascicultura, Technical University of Madrid, Madrid, Spain
Victor Cicuendez
Departamento de Silvopascicultura, Technical University of Madrid, Madrid, Spain
Laura Recuero
Departamento de Silvopascicultura, Technical University of Madrid, Madrid, Spain
Klaus Wiese
Departamento de Silvopascicultura, Technical University of Madrid, Madrid, Spain
Matthias Büchner
Potsdam Institute for Climate Impact Research, Member of the Leibniz
Association, P.O. Box 601203, 14412 Potsdam, Germany
Stefan Lange
Potsdam Institute for Climate Impact Research, Member of the Leibniz
Association, P.O. Box 601203, 14412 Potsdam, Germany
Jan Volkholz
Potsdam Institute for Climate Impact Research, Member of the Leibniz
Association, P.O. Box 601203, 14412 Potsdam, Germany
Hyungjun Kim
Department of Human and Social Systems, University of Tokyo, Tokyo, Japan
Joanna A. Horemans
Centre of Excellence PLECO, University of Antwerp, Antwerp,
Belgium
Friedrich Bohn
Helmholtz Centre for Environmental Research, Leipzig, Germany
Jörg Steinkamp
Senckenberg Biodiversity and Climate Research Centre, Senckenberg,
Germany
Alexander Chikalanov
University of Library Study and Information Technology, Sofia,
Bulgaria
Graham P. Weedon
Met Office, Wallingford, UK
Justin Sheffield
Dept. Civil & Environ. Eng., Princeton University, Princeton, NJ
08544, USA
Flurin Babst
W. Szafer Institute of Botany, Department of Ecology, Polish Academy
of Sciences, Cracow, Poland
Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
Iliusi Vega del Valle
Potsdam Institute for Climate Impact Research, Member of the Leibniz
Association, P.O. Box 601203, 14412 Potsdam, Germany
Felicitas Suckow
Potsdam Institute for Climate Impact Research, Member of the Leibniz
Association, P.O. Box 601203, 14412 Potsdam, Germany
Simon Martel
Department of Earth & Environment, Boston University, Boston, USA
Mats Mahnken
Potsdam Institute for Climate Impact Research, Member of the Leibniz
Association, P.O. Box 601203, 14412 Potsdam, Germany
Martin Gutsch
Potsdam Institute for Climate Impact Research, Member of the Leibniz
Association, P.O. Box 601203, 14412 Potsdam, Germany
Katja Frieler
Potsdam Institute for Climate Impact Research, Member of the Leibniz
Association, P.O. Box 601203, 14412 Potsdam, Germany
Data sets
The PROFOUND database for evaluating vegetation models and simulating climate impacts on European forests C. Reyer, R. Silveyra Gonzalez, K. Dolos, F. Hartig, Y. Hauf, M. Noack, P. Lasch-Born, T. Rötzer, H. Pretzsch, H. Meesenburg, S. Fleck, M. Wagner, A. Bolte, T. Sanders, P. Kolari, A. Mäkelä, T. Vesala, I. Mammarella, J. Pumpanen, G. Matteucci, A. Collalti, E. D’Andrea, L. Foltýnová, J. Krejza, A. Ibrom, K. Pilegaard, D. Loustau, J.-M. Bonnefond, P. Berbigier, D. Picart, S. Lafont, M. Dietze, D. Cameron, M. Vieno, H. Tian, A. Palacios-Orueta, V. Cicuendez, L. Recuero, K. Wiese, M. Büchner, S. Lange, J. Volkholz, H. Kim, G. Weedon, J. Sheffield, I. Vega del Valle, F. Suckow, J. Horemans, S. Martel, F. Bohn, J. Steinkamp, A. Chikalanov, M. Mahnken, M. Gutsch, C. Trotta, F. Babst, and K. Frieler https://doi.org/10.5880/PIK.2020.006
Model code and software
ProfoundData: Downloading and Exploring Data from the PROFOUND Database (https://CRAN.R-project.org/package=ProfoundData) R. Silveyra Gonzalez, C. P. O. Reyer, F. Bohn, M. Mahnken, F. Hartig https://doi.org/10.5880/PIK.2020.006
Short summary
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 provides a wide range of empirical data to calibrate and evaluate vegetation models that simulate climate impacts at the forest stand scale to support systematic model intercomparisons and model development in Europe.
Process-based vegetation models are widely used to predict local and global ecosystem dynamics...
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