The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F20%3A00531668" target="_blank" >RIV/86652079:_____/20:00531668 - isvavai.cz</a>
Result on the web
<a href="https://essd.copernicus.org/articles/12/1295/2020/" target="_blank" >https://essd.copernicus.org/articles/12/1295/2020/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/essd-12-1295-2020" target="_blank" >10.5194/essd-12-1295-2020</a>
Alternative languages
Result language
angličtina
Original language name
The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10505 - Geology
Result continuities
Project
<a href="/en/project/LM2015061" target="_blank" >LM2015061: CzeCOS</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Earth System Science Data
ISSN
1866-3508
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
2
Country of publishing house
DE - GERMANY
Number of pages
26
Pages from-to
1295-1320
UT code for WoS article
000541723500001
EID of the result in the Scopus database
2-s2.0-85089753036