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dc.contributorReyer, Christopher (Potsdam Institute for Climate Impact Research, Potsdam, Germany); Silveyra Gonzalez, Ramiro (Potsdam Institute for Climate Impact Research, Potsdam, Germany); Dolos, Klara (Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany); Hartig, Florian (University of Regensburg, Regensburg, Germany); Hauf, Ylva (Potsdam Institute for Climate Impact Research, Potsdam, Germany); Noack, Matthias (Deutscher Forstwirtschaftsrat, Berlin, Germany); Lasch-Born, Petra (Potsdam Institute for Climate Impact Research, Potsdam, Germany); Rötzer, Thomas (Technical University of Munich, Munich, Germany); Pretzsch, Hans (Technical University of Munich, Munich, Germany); Meesenburg, Henning (Northwest German Forest Research Station, Göttingen, Germany); Fleck, Stefan (Northwest German Forest Research Station, Göttingen, Germany); Wagner, Markus (Northwest German Forest Research Station, Göttingen, Germany); Bolte, Andreas (Thünen Institute of Forest Ecosystems, Eberswalde, Germany); Sanders, Tanja (Thünen Institute of Forest Ecosystems, Eberswalde, Germany); Kolari, Pasi (University of Helsinki, Helsinki, Finland); Mäkelä, Annikki (University of Helsinki, Helsinki, Finland); Vesala, Timo (University of Helsinki, Helsinki, Finland); Mammarella, Ivan (University of Helsinki, Helsinki, Finland); Pumpanen, Jukka (University of Eastern Finland, Kuopio, Finland); Matteucci, Giorgio (Institute for Agriculture and Forestry Systems in the Mediterranean, Cosenza Area, Italy); Collalti, Alessio (Euro-Mediterranean Center on Climate Change, Viterbo, Italy); D’Andrea, Ettore (National Research Council of Italy, Institute of Agro-envinronmental and Forest Biology, Monterotondo Scalo, Italy); Foltýnová, Lenka (Global Change Research Institute, Brno, Czech Republic); Krejza, Jan (Global Change Research Institute, Brno, Czech Republic); Ibrom, Andreas (Technical University of Denmark, Lyngby, Denmark); Pilegaard, Kim (Technical University of Denmark, Lyngby, Denmark); Loustau, Denis (French National Institute for Agricultural Research, Bordeaux, France); Bonnefond, Jean-Marc (French National Institute for Agricultural Research, Bordeaux, France); Berbigier, Paul (French National Institute for Agricultural Research, Bordeaux, France); Picart, Delphine (French National Institute for Agricultural Research, Bordeaux, France); Lafont, Sébastien (French National Institute for Agricultural Research, Bordeaux, France); Dietze, Michael (Boston University, Boston, USA); Cameron, David (Centre for Ecology and Hydrology, Lancaster, United Kingdom); Vieno, Massimo (Centre for Ecology and Hydrology, Edinburgh, United Kingdom); Tian, Hanqin (Auburn University, Auburn, United States); Palacios-Orueta, Alicia (Technical University of Madrid, Madrid, Spain); Cicuendez, Victor (Technical University of Madrid, Madrid, Spain); Recuero, Laura (Technical University of Madrid, Madrid, Spain); Wiese, Klaus (Technical University of Madrid, Madrid, Spain); Büchner, Matthias (Potsdam Institute for Climate Impact Research, Potsdam, Germany); Lange, Stefan (Potsdam Institute for Climate Impact Research, Potsdam, Germany); Volkholz, Jan (Potsdam Institute for Climate Impact Research, Potsdam, Germany); Kim, Hyungjun (Institute of Industrial Science, The University of Tokyo, Tokyo, Japan); Weedon, Graham (Met Office, Wallingford, UK); Sheffield, Justin (Princeton University, Princeton, USA); Vega del Valle, Iliusi (Potsdam Institute for Climate Impact Research, Potsdam, Germany); Suckow, Felicitas (Potsdam Institute for Climate Impact Research, Potsdam, Germany); Horemans, Joanna (Centre of Excellence PLECO, University of Antwerpen, Antwerpen, Belgium); Martel, Simon (French National Institute for Agricultural Research, Bordeaux, France); Bohn, Friedrich (Helmholz Center for Environmental Research, Leipzig, Germany); Steinkamp, Jörg (Senckenberg Biodiversity and Climate Research Centre, Senckenberg, Germany); Chikalanov, Alexandre (University of Library Study and Information Technology, Sofia, Bulgaria,); Mahnken, Mats (Potsdam Institute for Climate Impact Research, Potsdam, Germany); Gutsch, Martin (Potsdam Institute for Climate Impact Research, Potsdam, Germany); Trotta, Carlo (Department of Innovation in Biological, Agro-food and Forest System, University of Tuscia, 01100 Viterbo, Italy); Babst, Flurin (W. Szafer Institute of Botany, Department of Ecology, Polish Academy of Sciences, Krakow, Poland); Frieler, Katja (Potsdam Institute for Climate Impact Research, Potsdam, Germany)
dc.date.accessioned2020-10-17T02:05:23Z
dc.date.available2020-10-17T02:05:23Z
dc.date.issued2020-10-15T11:06:13.140320
dc.identifier.otherf522e5c2-894b-4f9e-b4ce-b75b55b7273den
dc.identifier.urihttps://erepo.uef.fi/handle/123456789/8382
dc.description.abstractVersion History: 29 April 2020: Release of Version 0.3This is an updated version of Reyer et al., (2019, V. 0.1.12, http://doi.org/10.5880/PIK.2019.008). All changes and updates are documented in the changelog available via the data download section. Current process-based vegetation models are complex scientific tools that require proper evaluation of the different processes included in the models to prove that the models can be used to integrate our understanding of forest ecosystems and project climate change impacts on forests. The PROFOUND database (PROFOUND DB) described here aims to bring together data from a wide range of data sources to evaluate vegetation models and simulate climate impacts at the forest stand scale. It has been designed to fulfill two objectives:- Allow for a thorough evaluation of complex, process-based vegetation models using multiple data streams covering a range of processes at different temporal scales- Allow for climate impact assessments by providing the latest climate scenario data. Therefore, the PROFOUND DB provides general a site description as well as soil, climate, CO2, Nitrogen deposition, tree-level, forest stand-level and remote sensing data for 9 forest stands spread throughout Europe. Moreover, for a subset of 5 sites, also time series of carbon fluxes, energy balances and soil water are available. The climate and nitrogen deposition data contains several datasets for the historic period and a wide range of future climate change scenarios following the Representative Emission Pathways (RCP2.6, RCP4.5, RCP6.0, RCP8.5). In addition, 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 Database is available freely but we incite users to respect the data policies of the individual datasets as provided in the metadata of each data file. The database can also be accessed via the PROFOUND R-package, which provides basic functions to explore, plot and extract the data. The data (PROFOUND DB) are provided in two different versions (ProfoundData.sqlite download as ProfoundData.zip, ProfoundData_ASCII.zip) accompanied by a change-log to the previous published version (changelog_Profound-DB_v03.pdf), auxiliary data of reconstructed single tree data at the site Sorø (Soroe_DBH_H_AGE_20200428.zip) and documented by the three explanatory documents: (1) PROFOUNDdatabase.pdf: describes the structure, organisation and content of the PROFOUND DB.(2) PROFOUNDsites.pdf: displays the main data of the PROFOUND DB for each of the 9 forest sites in tables and plots.(3) ProfoundData.pdf: explains how to use the PROFOUND R-Package "ProfoundData" to access the PROFOUND DB and provides example scripts on how to apply it.
dc.relation.urihttp://b2find.eudat.eu/dataset/f522e5c2-894b-4f9e-b4ce-b75b55b7273d
dc.rights
dc.titleThe PROFOUND database for evaluating vegetation models and simulating climate impacts on European forests
dc.relation.doihttps://doi.org/10.5880/PIK.2020.006
dc.description.datasetversiondd9d9de4999a56a0b0ff4964f839afa000bd8c04afdb5d3e4a48049eaa76f630


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