EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Incorporating nonstructural carbohydrate dynamics in the ISBA biomass allocation scheme

Jan De Pue1, José Miguel Barrios1, Alirio Arboleda1, Rafiq Hamdi1, Manuela Balzarolo2, Fabienne Maignan3, Christine Delire4, Ivan Janssens2, and Françoise Gellens-Meulenberghs1
Jan De Pue et al.
  • 1Meteorological and Climatological Research, Royal Meteorological Institute of Belgium, Brussels, Belgium (
  • 2Department of Biology, University of Antwerp, Antwerp, Belgium
  • 3Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
  • 4CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France

Within land surface models (LSM), the biomass allocation scheme (BAS) allows to simulate the dynamics of vegetation growth in response to climatic variation and other drivers. It distributes the assimilated carbon across different biomass pools, and consequently determines the spatio-temporal variability of the leaf area index (LAI).

In many LSM, large uncertainties are associated with the BAS, which propagate via the prognostic LAI to the surface fluxes. Here, we propose a revision to the BAS of the ISBA land surface model, by incorporating the dynamics of non-structural carbohydrates (NSC) explicitly. The target of the proposed BAS is the reproduction of LAI as observed with remote sensing, coupled to the modelled surface fluxes. Using in situ eddy covariance observations of the carbon fluxes, and remote sensing observations of the leaf biomass, estimates can be made of the biomass allocation and NSC dynamics. By combining this dataset with other (climatological) variables, a machine-learning based BAS is developed.

The simulated evolution of the biomass pools is evaluated using in situ observations of leaf turnover and remote sensing observations of leaf biomass. The proposed model is compared to the standard photosynthesis-driven BAS of ISBA and the more advanced BAS in ORCHIDEE.

How to cite: De Pue, J., Barrios, J. M., Arboleda, A., Hamdi, R., Balzarolo, M., Maignan, F., Delire, C., Janssens, I., and Gellens-Meulenberghs, F.: Incorporating nonstructural carbohydrate dynamics in the ISBA biomass allocation scheme, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-13912,, 2023.

Supplementary materials

Supplementary material file