A harmonized database of European forest simulations under climate change
Grünig, Marc (Technical University of Munich. School of Life Sciences, Ecosystem Dynamics and Forest Management)
Rammer, Werner (Technical University of Munich. School of Life Sciences, Ecosystem Dynamics and Forest Management)
Albrich, Katharina (Natural Resources Institute Finland)
André, Frédéric (Université Catholique de Louvain. Earth and Life Institute)
Augustynczik, Andrey L.D. (International Institute for Applied Systems Analysis (Àustria))
Bohn, Friedrich (Helmholtz Centre for Environmental Research)
Bouwman, Meike (Wageningen University & Research)
Bugmann, Harald (ETH Zürich. Institute of Geochemistry and Petrology)
Collalti, Alessio (National Research Council of Italy. Institute for Agriculture and Forestry Systems in the Mediterranean)
Cristal, Irina (Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC))
Dalmonech, Daniela (National Research Council of Italy. Institute for Agriculture and Forestry Systems in the Mediterranean)
Cáceres Ainsa, Miquel de (Centre de Recerca Ecològica i d'Aplicacions Forestals)
De Coligny, Francois (Centre National de la Recherche Scientifique. Université de Montpellier)
Dobor, Laura (Czech University of Life Sciences)
Dollinger, Christina (Technical University of Munich. School of Life Sciences, Ecosystem Dynamics and Forest Management)
Forrester, David I. (CSIRO Environment (Australia))
Garcia-Gonzalo, Jordi (Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC))
González Olabarria, José Ramón (Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC))
Hiltner, Ulrike (ETH Zürich. Institute of Geochemistry and Petrology)
Hlásny, Tomáš (Czech University of Life Sciences)
Honkaniemi, Juha (Natural Resources Institute Finland)
Huber, Nica (Swiss Federal Research Institute)
Jonard, Mathieu (Université Catholique de Louvain. Earth and Life Institute)
Maria Jönsson, Anna (Lund University. Department of Physical Geography and Ecosystem Science)
Lagergren, Fredrik (Lund University. Department of Physical Geography and Ecosystem Science)
Nieberg, Mats (Technische Universität Dresden)
Mina, Marco (Institute for Alpine Environment)
Mohren, Frits (Wageningen University & Research)
Moos, Christine (Bern University of Applied Sciences)
Morin, Xavier (Centre National de la Recherche Scientifique. Université de Montpellier)
Muys, Bart (KU Leuven. Department of Earth and Environmental Sciences)
Peltoniemi, Mikko (Natural Resources Institute Finland)
Reyer, Christopher P.O. (Potsdam Institute for Climate Impact Research)
Storms, Ilié (KU Leuven. Department of Earth and Environmental Sciences)
Thom, Dominik (Technical University of Munich. School of Life Sciences, Ecosystem Dynamics and Forest Management)
Toïgo, Maude (Centre National de la Recherche Scientifique. Université de Montpellier)
Seidl, Rupert (Technical University of Munich. School of Life Sciences, Ecosystem Dynamics and Forest Management)

Data:	2024
Resum:	Process-based forest models combine biological, physical, and chemical process understanding to simulate forest dynamics as an emergent property of the system. As such, they are valuable tools to investigate the effects of climate change on forest ecosystems. Specifically, they allow testing of hypotheses regarding long-term ecosystem dynamics and provide means to assess the impacts of climate scenarios on future forest development. As a consequence, numerous local-scale simulation studies have been conducted over the past decades to assess the impacts of climate change on forests. These studies apply the best available models tailored to local conditions, parameterized and evaluated by local experts. However, this treasure trove of knowledge on climate change responses remains underexplored to date, as a consistent and harmonized dataset of local model simulations is missing. Here, our objectives were (i) to compile existing local simulations on forest development under climate change in Europe in a common database, (ii) to harmonize them to a common suite of output variables, and (iii) to provide a standardized vector of auxiliary environmental variables for each simulated location to aid subsequent investigations. Our dataset of European stand- and landscape-level forest simulations contains over 1. 1 million simulation runs representing 135 million simulation years for more than 13,000 unique locations spread across Europe. The data were harmonized to consistently describe forest development in terms of stand structure (dominant height), composition (dominant species, admixed species), and functioning (leaf area index). Auxiliary variables provided include consistent daily climate information (temperature, precipitation, radiation, vapor pressure deficit) as well as information on local site conditions (soil depth, soil physical properties, soil water holding capacity, plant-available nitrogen). The present dataset facilitates analyses across models and locations, with the aim to better harness the valuable information contained in local simulations for large-scale policy support, and for fostering a deeper understanding of the effects of climate change on forest ecosystems in Europe.
Ajuts:	European Commission 101000574 European Commission 101001905
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Process-based models ; Vegetation dynamics ; Europe's forests ; Forest development ; Forest structure ; Forest composition ; Forest functioning
Publicat a:	Data in brief, Vol. 54 (June 2024) , art. 110384, ISSN 2352-3409

DOI: 10.1016/j.dib.2024.110384
PMID: 38646195

14 p, 1.6 MB

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