EGU23-3301
https://doi.org/10.5194/egusphere-egu23-3301
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Usage of long-term forest research networks to advance understanding of ecosystem services – CLIMB-FOREST

Holger Lange1, Jaana Bäck2, Georg Jocher3, Natascha Kljun4, Anne Klosterhalfen5, Alexander Knohl5, Natalia Kowalska3, Adam Kristensson4, Corinna Rebmann6, Teresa Saura-Yera7, and Alberto Vilagrosa8
Holger Lange et al.
  • 1Norwegian Institute of Bioeconomy Research, Ås, Norway (holger.lange@nibio.no)
  • 2University of Helsinki, Helsinki, Finland
  • 3Czech Globe, Brno, Czechia
  • 4University of Lund, Lund, Sweden
  • 5University of Göttingen, Göttingen, Germany
  • 6Helmholtz Center for Environmental Research, Leipzig, Germany
  • 7University of Barcelona, Barcelona, Spain
  • 8Mediterranean Center for Environmental Research, Valencia, Spain

Utilizing forest ecosystems to mitigate climate change effects and to preserve biodiversity requires detailed insights into the feedbacks between forest type, climatic and soil conditions, and in particular forest management history and practice. Analysis of long-term observations at the site level, remote sensing proxies and understanding relevant biogeochemical and biophysical processes are key to achieving these insights. In the recently started EU H2020 project “CLimate Mitigation and Bioeconomy pathways for sustainable FORESTry” (CLIMB-FOREST), we address these issues based on intensely monitored sites with flux measurements (ICOS, Fluxnet), other ecosystem research and observation networks (eLTER, National Forest Inventories), remotely sensed observations and process understanding. This presentation outlines the activities of CLIMB-FOREST regarding (1) carbon stocks and fluxes according to stand age, species distribution, management and disturbance history; (2) biophysical effects of forest structure; (3) effects and importance of short-lived climate forcers (e.g. BVOCs) and (4) management and extreme event (drought, fire) impact on SOC and N dynamics. We also outline how the gained knowledge informs scenario runs of the Vegetation and Earth System Model RCA-GUESS in the project.

How to cite: Lange, H., Bäck, J., Jocher, G., Kljun, N., Klosterhalfen, A., Knohl, A., Kowalska, N., Kristensson, A., Rebmann, C., Saura-Yera, T., and Vilagrosa, A.: Usage of long-term forest research networks to advance understanding of ecosystem services – CLIMB-FOREST, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-3301, https://doi.org/10.5194/egusphere-egu23-3301, 2023.

Supplementary materials

Supplementary material file