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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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 Creators:
Reyer, Christopher P. O.1, Author              
Gonzalez, Ramiro Silveyra1, Author              
Dolos, K.2, Author
Hartig, F.2, Author
Hauf, Ylva1, Author              
Noack, M.2, Author
Lasch-Born, Petra1, Author              
Rötzer, T.2, Author
Pretzsch, H.2, Author
Mesenburg, H.2, Author
Fleck, S.2, Author
Wagner, M.2, Author
Bolte, A.2, Author
Sanders, T. G. M.2, Author
Kolari, P.2, Author
Mäkelä, A.2, Author
Vesala, T.2, Author
Mammarella, I.2, Author
Pumpanen, J.2, Author
Collalti, A.2, Author
Trotta, C.2, AuthorMatteucci, G.2, AuthorD'Andrea, E.2, AuthorFoltýnová, L.2, AuthorKrejza, J.2, AuthorIbrom, A.2, AuthorPilegaard, K.2, AuthorLoustau, D.2, AuthorBonnefond, J.-M.2, AuthorBerbigier, P.2, AuthorPicart, D.2, AuthorLafont, S.2, AuthorDietze, M.2, AuthorCameron, D.2, AuthorVieno, M.2, AuthorTian, H.2, AuthorPalacios-Orueta, A.2, AuthorCicuendez, V.2, AuthorRecuero, L.2, AuthorWiese, K.2, AuthorBüchner, Matthias1, Author              Lange, Stefan1, Author              Volkholz, Jan1, Author              Kim, H.2, AuthorHoremans, J. A.2, AuthorBohn, F.2, AuthorSteinkamp, J.2, AuthorChikalanov, A.2, AuthorWeedon, G. P.2, AuthorSheffield, J.2, AuthorBabst, F.2, AuthorVega del Valle, I.2, AuthorSuckow, Felicitas1, Author              Martel, S.2, AuthorMahnken, Mats1, Author              Gutsch, Martin1, Author              Frieler, Katja1, Author               more..
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 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.

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 Dates: 2020-05-072020
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: 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
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Title: Earth System Science Data
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 12 (2) Sequence Number: - Start / End Page: 1295 - 1320 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals2_126
Publisher: Copernicus