EGU2020-20651
https://doi.org/10.5194/egusphere-egu2020-20651
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Canopy N across European forests: comparing spatial patterns of canopy N retrieved from remote sensing, environmental variables and global vegetation models

Yasmina Loozen1, Derek Karssenberg2, Steven de Jong2, Meng Lu2, Stefan Olin3, Martin Wassen1, David Wårlind3, Sönke Zaehle4, and Karin Rebel1
Yasmina Loozen et al.
  • 1Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands (k.t.rebel@uu.nl)
  • 2Physical Geography, Utrecht University, Utrecht, The Netherlands
  • 3Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
  • 4Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany

Humans have dramatically increased atmospheric CO2 concentration as well as biologically available nitrogen (N). Nitrogen is an essential nutrient for vegetation growth and N availability represents a limiting factor on carbon (C) sequestration by the terrestrial ecosystems.  While there is a large infrastructure for measurements to constrain the C cycle, data to constrain the N cycle are less readily available. Using a combination of remote sensing products (MODIS), canopy N concentration data (ICP forest), plant functional type and environmental variables including soil, climate (WorldClim) and elevation (EU-DEM), we generated a canopy N map across European forests using a random forest statistical method (hereafter RF canopy N map).

Most current Global Vegetation Models (GVMs) have integrated C and N cycles, to account for the link between C and N for plant growth and respiration. Leaf N concentration is also important for other biomass compartments as N allocations are prescribed relative to leaf N.  The objective of this study is to compare canopy N of two GVMs, O-CN and LPJ-GUESS, and the RF canopy N map in European forests.

The obtained canopy N maps show contrasting spatial patterns. The RF canopy N map shows higher canopy N values, i.e. between 1.8 and 2.2 %N, in mid-western and eastern Europe, while showing lower values, i.e. 1.2 and 1.6 %N, around the Mediterranean region and in the south of Sweden. The canopy N map obtained from the O-CN simulation shows relatively lower canopy N values, ranging from 1.0 to 1.8 %N, in central and northern Europe, while in the Mediterranean region the values are higher, between 1.8 and 2.4 %N. Similar to the RF map, the LPJ-GUESS canopy N map shows relatively higher canopy N values in mid-western Europe compared to southern and northern Europe, however, the LPJ-GUESS canopy N values show little spatial variation in the Mediterranean region.  Also, the LPJ-GUESS values are higher, with canopy N values ranging between 2.0 and 2.8 %N in mid-western Europe, and canopy N values ranging between 1.6 and 1.8 %N in the Mediterranean region.

The analysis yields insight into spatial differences in RF canopy N and canopy N predicted by GVMs, with especially a mismatch in arid and warm regions.

How to cite: Loozen, Y., Karssenberg, D., de Jong, S., Lu, M., Olin, S., Wassen, M., Wårlind, D., Zaehle, S., and Rebel, K.: Canopy N across European forests: comparing spatial patterns of canopy N retrieved from remote sensing, environmental variables and global vegetation models, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20651, https://doi.org/10.5194/egusphere-egu2020-20651, 2020

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