Earth System Science Data (Jun 2020)
The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests
- C. P. O. 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. G. M. Sanders,
- P. Kolari,
- A. Mäkelä,
- T. Vesala,
- I. Mammarella,
- J. Pumpanen,
- A. Collalti,
- A. Collalti,
- C. Trotta,
- G. Matteucci,
- 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,
- J. A. Horemans,
- F. Bohn,
- J. Steinkamp,
- A. Chikalanov,
- G. P. Weedon,
- J. Sheffield,
- F. Babst,
- F. Babst,
- I. Vega del Valle,
- F. Suckow,
- S. Martel,
- M. Mahnken,
- M. Gutsch,
- K. Frieler
Affiliations
- C. P. O. Reyer
- Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 601203, 14412 Potsdam, Germany
- R. Silveyra Gonzalez
- Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 601203, 14412 Potsdam, Germany
- K. Dolos
- Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
- F. Hartig
- Faculty of Biology and Pre-Clinical Medicine, University of Regensburg, Regensburg, Germany
- Y. Hauf
- Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 601203, 14412 Potsdam, Germany
- M. Noack
- Fachagentur Nachwachsende Rohstoffe e.V. (FNR), Gülzow-Prüzen, Germany
- P. Lasch-Born
- Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 601203, 14412 Potsdam, Germany
- T. Rötzer
- Department of Ecology and Ecosystem Management, Technical University of Munich, Munich, Germany
- H. Pretzsch
- Department of Ecology and Ecosystem Management, Technical University of Munich, Munich, Germany
- H. Meesenburg
- Northwest German Forest Research Institute, Göttingen, Germany
- S. Fleck
- Northwest German Forest Research Institute, Göttingen, Germany
- M. Wagner
- Northwest German Forest Research Institute, Göttingen, Germany
- A. Bolte
- Thünen Institute of Forest Ecosystems, 16225 Eberswalde, Germany
- T. G. M. Sanders
- Thünen Institute of Forest Ecosystems, 16225 Eberswalde, Germany
- P. Kolari
- Department of Forest Sciences, University of Helsinki, Helsinki, Finland
- A. Mäkelä
- Department of Forest Sciences, University of Helsinki, Helsinki, Finland
- T. Vesala
- Department of Forest Sciences, University of Helsinki, Helsinki, Finland
- I. Mammarella
- Department of Forest Sciences, University of Helsinki, Helsinki, Finland
- J. Pumpanen
- Biogeochemistry Research Group, University of Eastern Finland, Kuopio, Finland
- A. Collalti
- National Research Council of Italy, Institute for Agriculture and Forestry Systems in the Mediterranean, Perugia (PG), Italy
- A. Collalti
- Department of Innovation in Biological, Agro-food and Forest System, University of Tuscia, 01100 Viterbo, Italy
- C. Trotta
- Department of Innovation in Biological, Agro-food and Forest System, University of Tuscia, 01100 Viterbo, Italy
- G. Matteucci
- National Research Council of Italy, Institute for Agriculture and Forestry System in the Mediterranean, Ercolano (NA), Italy
- E. D'Andrea
- National Research Council of Italy, Institute for Agriculture and Forestry System in the Mediterranean, Ercolano (NA), Italy
- L. Foltýnová
- Global Change Research Institute, Brno, Czech Republic
- J. Krejza
- Global Change Research Institute, Brno, Czech Republic
- A. Ibrom
- Department of Environmental Engineering, Technical University of Denmark, Lyngby, Denmark
- K. Pilegaard
- Department of Environmental Engineering, Technical University of Denmark, Lyngby, Denmark
- D. Loustau
- French National Institute for Agricultural Research, Bordeaux, France
- J.-M. Bonnefond
- French National Institute for Agricultural Research, Bordeaux, France
- P. Berbigier
- French National Institute for Agricultural Research, Bordeaux, France
- D. Picart
- French National Institute for Agricultural Research, Bordeaux, France
- S. Lafont
- French National Institute for Agricultural Research, Bordeaux, France
- M. Dietze
- Department of Earth & Environment, Boston University, Boston, USA
- D. Cameron
- Centre for Ecology and Hydrology, Edinburgh, UK
- M. Vieno
- Centre for Ecology and Hydrology, Lancaster, UK
- H. Tian
- School of Forestry and Wildlife Sciences, Auburn University, Auburn, USA
- A. Palacios-Orueta
- Departamento de Silvopascicultura, Technical University of Madrid, Madrid, Spain
- V. Cicuendez
- Departamento de Silvopascicultura, Technical University of Madrid, Madrid, Spain
- L. Recuero
- Departamento de Silvopascicultura, Technical University of Madrid, Madrid, Spain
- K. Wiese
- Departamento de Silvopascicultura, Technical University of Madrid, Madrid, Spain
- M. Büchner
- Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 601203, 14412 Potsdam, Germany
- S. Lange
- Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 601203, 14412 Potsdam, Germany
- J. Volkholz
- Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 601203, 14412 Potsdam, Germany
- H. Kim
- Department of Human and Social Systems, University of Tokyo, Tokyo, Japan
- J. A. Horemans
- Centre of Excellence PLECO, University of Antwerp, Antwerp, Belgium
- F. Bohn
- Helmholtz Centre for Environmental Research, Leipzig, Germany
- J. Steinkamp
- Senckenberg Biodiversity and Climate Research Centre, Senckenberg, Germany
- A. Chikalanov
- University of Library Study and Information Technology, Sofia, Bulgaria
- G. P. Weedon
- Met Office, Wallingford, UK
- J. Sheffield
- Dept. Civil & Environ. Eng., Princeton University, Princeton, NJ 08544, USA
- F. Babst
- W. Szafer Institute of Botany, Department of Ecology, Polish Academy of Sciences, Cracow, Poland
- F. Babst
- Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
- I. Vega del Valle
- Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 601203, 14412 Potsdam, Germany
- F. Suckow
- Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 601203, 14412 Potsdam, Germany
- S. Martel
- Department of Earth & Environment, Boston University, Boston, USA
- M. Mahnken
- Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 601203, 14412 Potsdam, Germany
- M. Gutsch
- Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 601203, 14412 Potsdam, Germany
- K. Frieler
- Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 601203, 14412 Potsdam, Germany
- DOI
- https://doi.org/10.5194/essd-12-1295-2020
- Journal volume & issue
-
Vol. 12
pp. 1295 – 1320
Abstract
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 simulate climate impacts at the forest stand scale. A particular advantage of this database is its wide coverage of multiple data sources at different hierarchical and temporal scales, together with environmental driving data as well as the latest climate scenarios. Specifically, the PROFOUND DB provides general site descriptions, soil, climate, CO2, nitrogen deposition, tree and forest stand level, and remote sensing data for nine contrasting forest stands distributed across Europe. Moreover, for a subset of five sites, time series of carbon fluxes, atmospheric heat conduction and soil water are also available. The climate and nitrogen deposition data contain several datasets for the historic period and a wide range of future climate change scenarios following the Representative Concentration Pathways (RCP2.6, RCP4.5, RCP6.0, RCP8.5). We also provide pre-industrial climate simulations that allow for model runs aimed at disentangling the contribution of climate change to observed forest productivity changes. The PROFOUND DB is available freely as a “SQLite” relational database or “ASCII” flat file version (at https://doi.org/10.5880/PIK.2020.006/; Reyer et al., 2020). The data policies of the individual contributing datasets are provided in the metadata of each data file. The PROFOUND DB can also be accessed via the ProfoundData R package (https://CRAN.R-project.org/package=ProfoundData; Silveyra Gonzalez et al., 2020), which provides basic functions to explore, plot and extract the data for model set-up, calibration and evaluation.
