Biological nitrogen fixation of natural and agricultural vegetation simulated with LPJmL 5.7.9

Wirth, Stephen Björn; Braun, Johanna; Heinke, Jens; Ostberg, Sebastian; Rolinski, Susanne; Schaphoff, Sibyll; Stenzel, Fabian; von Bloh, Werner; Taube, Friedhelm; Müller, Christoph

doi:https://doi.org/10.5194/gmd-17-7889-2024

Articles | Volume 17, issue 21

https://doi.org/10.5194/gmd-17-7889-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

The Lund–Potsdam–Jena managed Land (LPJmL) dynamic...

https://doi.org/10.5194/gmd-17-7889-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 21

Model description paper

|

07 Nov 2024

Model description paper |

| 07 Nov 2024

Biological nitrogen fixation of natural and agricultural vegetation simulated with LPJmL 5.7.9

Stephen Björn Wirth, Johanna Braun, Jens Heinke, Sebastian Ostberg, Susanne Rolinski, Sibyll Schaphoff, Fabian Stenzel, Werner von Bloh, Friedhelm Taube, and Christoph Müller

Supplement

https://doi.org/10.5194/gmd-17-7889-2024-supplement

Data sets

ISIMIP3a atmospheric climate input data (v1.0) Stefan Lange et al. https://doi.org/10.48364/ISIMIP.982724

ISIMIP3b N-deposition input data (v1.0) Jia Yang and Hanqin Tian https://doi.org/10.48364/ISIMIP.600567

ISIMIP3a atmospheric composition input data (v1.2) Matthias Büchner and Christopher P. O. Reyer https://doi.org/10.48364/ISIMIP.664235.2

Model code and software

Model Code for LPJmL5.7.9-Ccostly-Bnf Stephen Björn Wirth et al. https://doi.org/10.5281/zenodo.14012503

Short summary

We present a new approach to modelling biological nitrogen fixation (BNF) in the Lund–Potsdam–Jena managed Land dynamic global vegetation model. While in the original approach BNF depended on actual evapotranspiration, the new approach considers soil water content and temperature, vertical root distribution, the nitrogen (N) deficit and carbon (C) costs. The new approach improved simulated BNF compared to the scientific literature and the model ability to project future C and N cycle dynamics.