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
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- Unravelling resilience mechanisms in forests: role of non-structural carbohydrates in responding to extreme weather events E. D’Andrea et al. 10.1093/treephys/tpab044
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- Accuracy, realism and general applicability of European forest models M. Mahnken et al. 10.1111/gcb.16384
- Refining the standardized growth change method for pointer year detection: Accounting for statistical bias and estimating the deflection period A. Buras et al. 10.1016/j.dendro.2022.125964
- Process‐Informed Neural Networks: A Hybrid Modelling Approach to Improve Predictive Performance and Inference of Neural Networks in Ecology and Beyond M. Wesselkamp et al. 10.1111/ele.70012
- Tackling unresolved questions in forest ecology: The past and future role of simulation models I. Maréchaux et al. 10.1002/ece3.7391
- Stand Age and Climate Change Effects on Carbon Increments and Stock Dynamics E. Vangi et al. 10.3390/f15071120
- Agrometeorological Requirements of Maize Crop Phenology for Sustainable Cropping—A Historical Review for Romania S. Vâtcă et al. 10.3390/su13147719
- CHELSA-W5E5: daily 1 km meteorological forcing data for climate impact studies D. Karger et al. 10.5194/essd-15-2445-2023
- Predicted Future Changes in the Mean Seasonal Carbon Cycle Due to Climate Change M. Morichetti et al. 10.3390/f15071124
- Frost and drought: Effects of extreme weather events on stem carbon dynamics in a Mediterranean beech forest E. D'Andrea et al. 10.1111/pce.13858
- Coupling Effects of Precipitation and Vegetation on Sediment Yield from the Perspective of Spatiotemporal Heterogeneity across the Qingshui River Basin of the Upper Yellow River, China J. Yang et al. 10.3390/f13030396
- Coupled whole‐tree optimality and xylem hydraulics explain dynamic biomass partitioning A. Potkay et al. 10.1111/nph.17242
- Assessing model performance via the most limiting environmental driver in two differently stressed pine stands D. Nadal‐Sala et al. 10.1002/eap.2312
- Combining Remote Sensing and Species Distribution Modelling to Assess Pinus hartwegii Response to Climate Change and Land Use from Izta-Popo National Park, Mexico I. García-Amorena et al. 10.3390/land10101037
- Modeling Ambitions Outpace Observations of Forest Carbon Allocation F. Babst et al. 10.1016/j.tplants.2020.10.002
- CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada P. Sarzaeim et al. 10.5194/essd-15-3963-2023
- Towards robust statistical inference for complex computer models J. Oberpriller et al. 10.1111/ele.13728
- Feasibility of enhancing carbon sequestration and stock capacity in temperate and boreal European forests via changes to management regimes D. Dalmonech et al. 10.1016/j.agrformet.2022.109203
- 3PG-MT-LSTM: A Hybrid Model under Biomass Compatibility Constraints for the Prediction of Long-Term Forest Growth to Support Sustainable Management J. Qin et al. 10.3390/f14071482
- Stand age diversity (and more than climate change) affects forests’ resilience and stability, although unevenly E. Vangi et al. 10.1016/j.jenvman.2024.121822
- Description and evaluation of the process-based forest model 4C v2.2 at four European forest sites P. Lasch-Born et al. 10.5194/gmd-13-5311-2020
Latest update: 30 Dec 2024
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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