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  The PROFOUND database for evaluating vegetation models and simulating climate impacts on forests

Reyer, C. P. O., Gonzalez, R. S., Dolos, K., Hartig, F., Hauf, Y., Noack, M., Lasch-Born, P., Rötzer, T., Pretzsch, H., Mesenburg, 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., Dietze, 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 forests. - Earth System Science Data, 12, 2, 1295-1320.
https://doi.org/10.5194/essd-12-1295-2020

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Reyer, Christopher P. O.1, Autor              
Gonzalez, Ramiro Silveyra1, Autor              
Dolos, K.2, Autor
Hartig, F.2, Autor
Hauf, Ylva1, Autor              
Noack, M.2, Autor
Lasch-Born, Petra1, Autor              
Rötzer, T.2, Autor
Pretzsch, H.2, Autor
Mesenburg, H.2, Autor
Fleck, S.2, Autor
Wagner, M.2, Autor
Bolte, A.2, Autor
Sanders, T. G. M.2, Autor
Kolari, P.2, Autor
Mäkelä, A.2, Autor
Vesala, T.2, Autor
Mammarella, I.2, Autor
Pumpanen, J.2, Autor
Collalti, A.2, Autor
Trotta, C.2, AutorMatteucci, G.2, AutorD'Andrea, E.2, AutorFoltýnová, L.2, AutorKrejza, J.2, AutorIbrom, A.2, AutorPilegaard, K.2, AutorLoustau, D.2, AutorBonnefond, J.-M.2, AutorBerbigier, P.2, AutorPicart, D.2, AutorLafont, S.2, AutorDietze, M.2, AutorCameron, D.2, AutorVieno, M.2, AutorTian, H.2, AutorPalacios-Orueta, A.2, AutorCicuendez, V.2, AutorRecuero, L.2, AutorWiese, K.2, AutorBüchner, Matthias1, Autor              Lange, Stefan1, Autor              Volkholz, Jan1, Autor              Kim, H.2, AutorHoremans, J. A.2, AutorBohn, F.2, AutorSteinkamp, J.2, AutorChikalanov, A.2, AutorWeedon, G. P.2, AutorSheffield, J.2, AutorBabst, F.2, AutorVega del Valle, I.2, AutorSuckow, Felicitas1, Autor              Martel, S.2, AutorMahnken, Mats1, Autor              Gutsch, Martin1, Autor              Frieler, Katja1, Autor               mehr..
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Zusammenfassung: 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.

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 Datum: 2020-05-072020
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.5194/essd-12-1295-2020
PIKDOMAIN: RD2 - Climate Resilience
PIKDOMAIN: RD3 - Transformation Pathways
eDoc: 8698
MDB-ID: yes
Working Group: Forest and Ecosystem Resilience
Working Group: Data-Centric Modeling of Cross-Sectoral Impacts
 Art des Abschluß: -

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Titel: Earth System Science Data
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 12 (2) Artikelnummer: - Start- / Endseite: 1295 - 1320 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals2_126
Publisher: Copernicus