Released
Software

FORESEE - 4C

Cite as:

Lasch-Born, Petra; Suckow, Felicitas; Gutsch, Martin; Kollas, Chris; Badeck, Franz-W.; Bugmann, Harald; Grote, Rüdiger; Fürstenau, Cornelia; Schaber, Jörg; Lindner, Marcus; Reyer, Christopher (2019): FORESEE - 4C. V. 2.2. GFZ Data Services. https://doi.org/10.5880/PIK.2019.015

Status

I   N       R   E   V   I   E   W : Lasch-Born, Petra; Suckow, Felicitas; Gutsch, Martin; Kollas, Chris; Badeck, Franz-W.; Bugmann, Harald; Grote, Rüdiger; Fürstenau, Cornelia; Schaber, Jörg; Lindner, Marcus; Reyer, Christopher (2019): FORESEE - 4C. V. 2.2. GFZ Data Services. https://doi.org/10.5880/PIK.2019.015

Abstract

The model 4C (‘FORESEE’ - Forest Ecosystems in a Changing Environment) has been developed to describe long-term forest behaviour under changing environmental conditions. It describes processes on tree and stand level basing on findings from eco-physiological experiments, long term observations and physiological modelling. The model includes descriptions of tree species composition, forest structure, total ecosystem carbon content as well as leaf area index. The model shares a number of features with gap models, which have often been used for the simulation of long-term forest development. Establishment, growth and mortality of tree cohorts are explicitly modelled on a patch on which horizontal homogeneity is assumed.

Authors

  • Lasch-Born, Petra;PIK Potsdam Institute for Climate Impact Research, Potsdam, Germany
  • Suckow, Felicitas;PIK Potsdam Institute for Climate Impact Research, Potsdam, Germany
  • Gutsch, Martin;PIK Potsdam Institute for Climate Impact Research, Potsdam, Germany
  • Kollas, Chris;German Federal Institute for Risk Assessment, Berlin, Germany
  • Badeck, Franz-W.;Research Centre for Genomics and Bioinformatics, Council for Agricultural Research and Economics, Italy
  • Bugmann, Harald;Forest Ecology, Department of Environmental Systems Science, ETH Zürich, Switzerland
  • Grote, Rüdiger;Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe, Germany
  • Fürstenau, Cornelia;Friedrich-Schiller-Universität Jena, Institut für Informatik, Heinz Nixdorf Chair for Distributed Information Systems, Jena, Germany
  • Schaber, Jörg;EXCO GmbH, Frankenthal, Germany
  • Lindner, Marcus;EFI
  • Reyer, Christopher;PIK Potsdam Institute for Climate Impact Research, Potsdam, Germany

Contact

Keywords

process-based forest model, climate change, forest mono- and mixed-species stands stands, species parameterization for 13 European tree species

GCMD Science Keywords

Files

License: BSD 2-clause "Simplified" License