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

Christopher P.O. Reyer; Ramiro Silveyra Gonzalez; Klara Dolos; Florian Hartig; Ylva Hauf; Matthias Noack; Petra Lasch-Born; Thomas Rötzer; Hans Pretzsch; Henning Meesenburg; Stefan Fleck; Markus Wagner; Andreas Bolte; Tanja G.M. Sanders; Pasi Kolari; Annikki Mäkelä; Timo Vesala; Ivan Mammarella; Jukka Pumpanen; Alessio Collalti; Carlo Trotta; Giorgio Matteucci; Ettore D'Andrea; Lenka Foltýnová; Jan Krejza; Andreas Ibrom; Kim Pilegaard; Denis Loustau; Jean Marc Bonnefond; Paul Berbigier; Delphine Picart; Sébastien Lafont; Michael Dietze; David Cameron; Massimo Vieno; Hanqin Tian; Alicia Palacios-Orueta; Victor Cicuendez; Laura Recuero; Klaus Wiese; Matthias Büchner; Stefan Lange; Jan Volkholz; Hyungjun Kim; Joanna A. Horemans; Friedrich Bohn; Jörg Steinkamp; Alexander Chikalanov; Graham P. Weedon; Justin Sheffield; Flurin Babst; Flurin Babst; Iliusi Vega Del Valle; Felicitas Suckow; Simon Martel; Mats Mahnken; Martin Gutsch; Katja Frieler

doi:10.5194/essd-12-1295-2020

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

Christopher P.O. Reyer, Ramiro Silveyra Gonzalez, Klara Dolos, Florian Hartig, Ylva Hauf, Matthias Noack, Petra Lasch-Born, Thomas Rötzer, Hans Pretzsch, Henning Meesenburg, Stefan Fleck, Markus Wagner, Andreas Bolte, Tanja G.M. Sanders, Pasi Kolari, Annikki Mäkelä, Timo Vesala, Ivan Mammarella, Jukka Pumpanen, Alessio CollaltiCarlo Trotta, Giorgio Matteucci, Ettore D'Andrea, Lenka Foltýnová, Jan Krejza, Andreas Ibrom, Kim Pilegaard, Denis Loustau, Jean Marc Bonnefond, Paul Berbigier, Delphine Picart, Sébastien Lafont, Michael Dietze, David Cameron, Massimo Vieno, Hanqin Tian, Alicia Palacios-Orueta, Victor Cicuendez, Laura Recuero, Klaus Wiese, Matthias Büchner, Stefan Lange, Jan Volkholz, Hyungjun Kim, Joanna A. Horemans, Friedrich Bohn, Jörg Steinkamp, Alexander Chikalanov, Graham P. Weedon, Justin Sheffield, Flurin Babst, Flurin Babst, Iliusi Vega Del Valle, Felicitas Suckow, Simon Martel, Mats Mahnken, Martin Gutsch, Katja Frieler

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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.

Original language	English
Pages (from-to)	1295-1320
Number of pages	26
Journal	Earth System Science Data
Volume	12
Issue number	2
DOIs	https://doi.org/10.5194/essd-12-1295-2020
State	Published - 12 Jun 2020

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Reyer, C. P. O., Silveyra Gonzalez, R., Dolos, K., Hartig, F., Hauf, Y., Noack, M., Lasch-Born, P., Rötzer, T., Pretzsch, H., Meesenburg, H., Fleck, S., Wagner, M., Bolte, A., Sanders, T. G. M., Kolari, P., Mäkelä, A., Vesala, T., Mammarella, I., Pumpanen, J., ... Frieler, K. (2020). The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests. Earth System Science Data, 12(2), 1295-1320. https://doi.org/10.5194/essd-12-1295-2020

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title = "The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests",

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.",

author = "Reyer, {Christopher P.O.} and {Silveyra Gonzalez}, Ramiro and Klara Dolos and Florian Hartig and Ylva Hauf and Matthias Noack and Petra Lasch-Born and Thomas R{\"o}tzer and Hans Pretzsch and Henning Meesenburg and Stefan Fleck and Markus Wagner and Andreas Bolte and Sanders, {Tanja G.M.} and Pasi Kolari and Annikki M{\"a}kel{\"a} and Timo Vesala and Ivan Mammarella and Jukka Pumpanen and Alessio Collalti and Carlo Trotta and Giorgio Matteucci and Ettore D'Andrea and Lenka Folt{\'y}nov{\'a} and Jan Krejza and Andreas Ibrom and Kim Pilegaard and Denis Loustau and Bonnefond, {Jean Marc} and Paul Berbigier and Delphine Picart and S{\'e}bastien Lafont and Michael Dietze and David Cameron and Massimo Vieno and Hanqin Tian and Alicia Palacios-Orueta and Victor Cicuendez and Laura Recuero and Klaus Wiese and Matthias B{\"u}chner and Stefan Lange and Jan Volkholz and Hyungjun Kim and Horemans, {Joanna A.} and Friedrich Bohn and J{\"o}rg Steinkamp and Alexander Chikalanov and Weedon, {Graham P.} and Justin Sheffield and Flurin Babst and Flurin Babst and {Vega Del Valle}, Iliusi and Felicitas Suckow and Simon Martel and Mats Mahnken and Martin Gutsch and Katja Frieler",

note = "Publisher Copyright: {\textcopyright} Author(s) 2020.",

year = "2020",

month = jun,

day = "12",

doi = "10.5194/essd-12-1295-2020",

language = "English",

volume = "12",

pages = "1295--1320",

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Reyer, CPO, Silveyra Gonzalez, R, Dolos, K, Hartig, F, Hauf, Y, Noack, M, Lasch-Born, P, Rötzer, T , Pretzsch, H, Meesenburg, H, Fleck, S, Wagner, M, Bolte, A, Sanders, TGM, 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, JM, 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, JA, Bohn, F, Steinkamp, J, Chikalanov, A, Weedon, GP, Sheffield, J, Babst, F, 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 European forests', Earth System Science Data, vol. 12, no. 2, pp. 1295-1320. https://doi.org/10.5194/essd-12-1295-2020

TY - JOUR

T1 - The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests

AU - Reyer, Christopher P.O.

AU - Silveyra Gonzalez, Ramiro

AU - Dolos, Klara

AU - Hartig, Florian

AU - Hauf, Ylva

AU - Noack, Matthias

AU - Lasch-Born, Petra

AU - Rötzer, Thomas

AU - Pretzsch, Hans

AU - Meesenburg, Henning

AU - Fleck, Stefan

AU - Wagner, Markus

AU - Bolte, Andreas

AU - Sanders, Tanja G.M.

AU - Kolari, Pasi

AU - Mäkelä, Annikki

AU - Vesala, Timo

AU - Mammarella, Ivan

AU - Pumpanen, Jukka

AU - Collalti, Alessio

AU - Trotta, Carlo

AU - Matteucci, Giorgio

AU - D'Andrea, Ettore

AU - Foltýnová, Lenka

AU - Krejza, Jan

AU - Ibrom, Andreas

AU - Pilegaard, Kim

AU - Loustau, Denis

AU - Bonnefond, Jean Marc

AU - Berbigier, Paul

AU - Picart, Delphine

AU - Lafont, Sébastien

AU - Dietze, Michael

AU - Cameron, David

AU - Vieno, Massimo

AU - Tian, Hanqin

AU - Palacios-Orueta, Alicia

AU - Cicuendez, Victor

AU - Recuero, Laura

AU - Wiese, Klaus

AU - Büchner, Matthias

AU - Lange, Stefan

AU - Volkholz, Jan

AU - Kim, Hyungjun

AU - Horemans, Joanna A.

AU - Bohn, Friedrich

AU - Steinkamp, Jörg

AU - Chikalanov, Alexander

AU - Weedon, Graham P.

AU - Sheffield, Justin

AU - Babst, Flurin

AU - Vega Del Valle, Iliusi

AU - Suckow, Felicitas

AU - Martel, Simon

AU - Mahnken, Mats

AU - Gutsch, Martin

AU - Frieler, Katja

PY - 2020/6/12

Y1 - 2020/6/12

N2 - 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.

AB - 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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JO - Earth System Science Data

JF - Earth System Science Data

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

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