Combining multiple statistical methods to evaluate the performance of process-based vegetation models across three forest stands
Authors
Joanna A. Horemans
Centre of Excellence PLECO, Department of Biology, University of Antwerp, Universiteitsplein 1, B–2610, Wilrijk, Belgium
Alexandra Henrot
Unité de Modélisation du Climat et des Cycles Biogéochimiques (UMCCB), Université de Liège, Allée du Six Août 17, B–4000, Liège, Belgium
Christine Delire
Centre National de Recherches Météorologiques, Unité Mixte de Recherches UMR3589, CNRS Météo-France, F–31000, Toulouse, France
Chris Kollas
Potsdam Institute for Climate Impact Research, Telegrafenberg A31, D–14473, Potsdam, Germany
Petra Lasch-Born
Potsdam Institute for Climate Impact Research, Telegrafenberg A31, D–14473, Potsdam, Germany
Christopher Reyer
Potsdam Institute for Climate Impact Research, Telegrafenberg A31, D–14473, Potsdam, Germany
Felicitas Suckow
Potsdam Institute for Climate Impact Research, Telegrafenberg A31, D–14473, Potsdam, Germany
Louis François
Unité de Modélisation du Climat et des Cycles Biogéochimiques (UMCCB), Université de Liège, Allée du Six Août 17, B–4000, Liège, Belgium
Reinhart Ceulemans
Centre of Excellence PLECO, Department of Biology, University of Antwerp, Universiteitsplein 1, B–2610, Wilrijk, Belgium
Language: English
Page range: 153 - 172
Published on: Oct 31, 2017
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2017 Joanna A. Horemans, Alexandra Henrot, Christine Delire, Chris Kollas, Petra Lasch-Born, Christopher Reyer, Felicitas Suckow, Louis François, Reinhart Ceulemans, published by National Forest Centre and Czech University of Life Sciences in Prague, Faculty of Forestry and Wood Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.