Publication Details

Category Text Publication
Reference Category Journals
DOI 10.5194/essd-12-1295-2020
Licence creative commons licence
Title (Primary) The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests
Author Reyer, C.P.O.; Silveyra Gonzalez, R.; Dolos, K.; Hartig, F.; Hauf, Y.; Noack, M.; Lasch-Born, P.; Rötzer, T.; Pretzsch, H.; Meesenburg, H.; Fleck, S.; Wagner, M.; Bolte, A.; Sanders, T.G.M.; Kolari, P.; Mäkelä, A.; Vesala, T.; Mammarella, I.; Pumpanen, J.; Collalti, A.; Trotta, C.; Matteucci, G.; D'Andrea, E.; Foltýnová, L.; Krejza, J.; Ibrom, A.; Pilegaard, K.; Loustau, D.; Bonnefond, J.-M.; Berbigier, P.; Picart, D.; Lafont, S.; Dietzel, M.; Cameron, D.; Vieno, M.; Tian, H.; Palacios-Orueta, A.; Cicuendez, V.; Recuero, L.; Wiese, K.; Büchner, M.; Lange, S.; Volkholz, J.; Kim, H.; Horemans, J.A.; Bohn, F.; Steinkamp, J.; Chikalanov, A.; Weedon, G.P.; Sheffield, J.; Babst, F.; Vega del Valle, I.; Suckow, F.; Martel, S.; Mahnken, M.; Gutsch, M.; Frieler, K.
Source Titel Earth System Science Data
Year 2020
Department OESA
Volume 12
Issue 2
Page From 1295
Page To 1320
Language englisch
Data and Software links https://doi.org/10.5880/PIK.2020.006/
Supplements https://essd.copernicus.org/articles/12/1295/2020/essd-12-1295-2020-supplement.pdf
Keywords highlight
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.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=23337
Reyer, C.P.O., Silveyra Gonzalez, R., Dolos, K., Hartig, F., Hauf, Y., Noack, M., Lasch-Born, P., Rötzer, T., Pretzsch, H., Meesenburg, H., Fleck, S., Wagner, M., Bolte, A., Sanders, T.G.M., Kolari, P., Mäkelä, A., Vesala, T., Mammarella, I., Pumpanen, J., Collalti, A., Trotta, C., Matteucci, G., D'Andrea, E., Foltýnová, L., Krejza, J., Ibrom, A., Pilegaard, K., Loustau, D., Bonnefond, J.-M., Berbigier, P., Picart, D., Lafont, S., Dietzel, M., Cameron, D., Vieno, M., Tian, H., Palacios-Orueta, A., Cicuendez, V., Recuero, L., Wiese, K., Büchner, M., Lange, S., Volkholz, J., Kim, H., Horemans, J.A., Bohn, F., Steinkamp, J., Chikalanov, A., Weedon, G.P., Sheffield, J., Babst, F., Vega del Valle, I., Suckow, F., Martel, S., Mahnken, M., Gutsch, M., Frieler, K. (2020):
The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests
Earth Syst. Sci. Data 12 (2), 1295 - 1320