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

DOI

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) and documented by the following three 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.

Identifier
DOI https://doi.org/10.5880/PIK.2019.008
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Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6691
Provenance
Creator Reyer, Christopher ORCID logo; Silveyra Gonzalez, Ramiro ORCID logo; Dolos, Klara; Hartig, Florian ORCID logo; Hauf, Ylva; Noack, Matthias; Lasch-Born, Petra ORCID logo; Rötzer, Thomas ORCID logo; Pretzsch, Hans ORCID logo; Meesenburg, Henning ORCID logo; Fleck, Stefan ORCID logo; Wagner, Markus; Bolte, Andreas ORCID logo; Sanders, Tanja ORCID logo; Kolari, Pasi (ORCID: 0000-0001-7271-633X); Mäkelä, Annikki ORCID logo; Vesala, Timo ORCID logo; Mammarella, Ivan ORCID logo; Pumpanen, Jukka ORCID logo; Matteucci, Giorgio ORCID logo; Collalti, Alessio ORCID logo; D’Andrea, Ettore (ORCID: 0000-0002-5884-210X); Foltýnová, Lenka (ORCID: 0000-0001-8202-955X); Krejza, Jan ORCID logo; Ibrom, Andreas (ORCID: 0000-0002-1341-921X); Pilegaard, Kim ORCID logo; Loustau, Denis (ORCID: 0000-0003-3990-400X); Bonnefond, Jean-Marc; Berbigier, Paul; Picart, Delphine; Lafont, Sébastien; Dietze, Michael ORCID logo; Cameron, David; Vieno, Massimo ORCID logo; Tian, Hanqin ORCID logo; Palacios-Orueta, Alicia ORCID logo; Cicuendez, Victor; Recuero, Laura; Wiese, Klaus; Büchner, Matthias ORCID logo; Lange, Stefan ORCID logo; Volkholz, Jan; Kim, Hyungjun ORCID logo; Weedon, Graham ORCID logo; Sheffield, Justin ORCID logo; Vega del Valle, Iliusi; Suckow, Felicitas ORCID logo; Horemans, Joanna ORCID logo; Martel, Simon ORCID logo; Bohn, Friedrich ORCID logo; Steinkamp, Jörg ORCID logo; Chikalanov, Alexandre ORCID logo; Frieler, Katja ORCID logo
Publisher GFZ Data Services
Publication Year 2019
Rights CC Attribution-NonCommercial 4.0 International (CC BY-NC 4.0); https://creativecommons.org/licenses/by-nc/4.0/
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/octet-stream
Size 8813287391 Bytes; 5 Files
Version 0.1.12
Discipline Earth System Research