Reyer, Christopher P. O. and Gonzalez, Ramiro Silveyra and Dolos, Klara and Hartig, Florian and Hauf, Ylva and Noack, Matthias and Lasch-Born, Petra and Roetzer, Thomas and Pretzsch, Hans and Meesenburg, Henning and Fleck, Stefan and Wagner, Markus and Bolte, Andreas and Sanders, Tanja G. M. and Kolari, Pasi and Makela, Annikki and Vesala, Timo and Mammarella, Ivan and Pumpanen, Jukka and Collalti, Alessio and Trotta, Carlo and Matteucci, Giorgio and D'Andrea, Ettore and Foltynova, Lenka and Krejza, Jan and Ibrom, Andreas and Pilegaard, Kim and Loustau, Denis and Bonnefond, Jean-Marc and Berbigier, Paul and Picart, Delphine and Lafont, Sebastien and Dietze, Michael and Cameron, David and Vieno, Massimo and Tian, Hanqin and Palacios-Orueta, Alicia and Cicuendez, Victor and Recuero, Laura and Wiese, Klaus and Buechner, Matthias and Lange, Stefan and Volkholz, Jan and Kim, Hyungjun and Horemans, Joanna A. and Bohn, Friedrich and Steinkamp, Joerg and Chikalanov, Alexander and Weedon, Graham P. and Sheffield, Justin and Babst, Flurin and del Valle, Iliusi Vega and Suckow, Felicitas and Martel, Simon and Mahnken, Mats and Gutsch, Martin and Frieler, Katja (2020) The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests. EARTH SYSTEM SCIENCE DATA, 12 (2). pp. 1295-1320. ISSN 1866-3508, 1866-3516
Full text not available from this repository. (Request a copy)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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | NET ECOSYSTEM EXCHANGE; OAK QUERCUS-PETRAEA; FAGUS-SYLVATICA L.; EDDY-COVARIANCE; INTERCOMPARISON PROJECT; SILVICULTURAL ALTERNATIVES; ATMOSPHERIC CHEMISTRY; PINUS-SYLVESTRIS; BIAS CORRECTION; USE EFFICIENCY; |
| Subjects: | 500 Science > 570 Life sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Pflanzenwissenschaften > Group Theoretical Ecology (Prof. Dr. Florian Hartig) |
| Depositing User: | Petra Gürster |
| Date Deposited: | 13 Apr 2021 06:58 |
| Last Modified: | 13 Apr 2021 06:58 |
| URI: | https://pred.uni-regensburg.de/id/eprint/44394 |
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