FORCCHN V2.0: an individual-based model for predicting multiscale forest carbon dynamics

Fang, Jing; Shugart, Herman H.; Liu, Feng; Yan, Xiaodong; Song, Yunkun; Lv, Fucheng

doi:https://doi.org/10.5194/gmd-15-6863-2022

Articles | Volume 15, issue 17

https://doi.org/10.5194/gmd-15-6863-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-6863-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 17

Model description paper

|

09 Sep 2022

Model description paper |

| 09 Sep 2022

FORCCHN V2.0: an individual-based model for predicting multiscale forest carbon dynamics

Jing Fang, Herman H. Shugart, Feng Liu, Xiaodong Yan, Yunkun Song, and Fucheng Lv

Supplement

https://doi.org/10.5194/gmd-15-6863-2022-supplement

Data sets

Daily and annual carbon flux predicted by FORCCHN2 model Jing Fang https://doi.org/10.6084/m9.figshare.18318722.v1

Model code and software

FORCCHN2 model Jing Fang, Herman H. Shugart, Feng Liu, Xiaodong Yan, Yunkun Song, and Fucheng Lv https://doi.org/10.5281/zenodo.6351153

Short summary

Our study provided a detailed description and a package of an individual tree-based carbon model, FORCCHN2. This model used non-structural carbohydrate (NSC) pools to couple tree growth and phenology. The model could reproduce daily carbon fluxes across Northern Hemisphere forests. Given the potential importance of the application of this model, there is substantial scope for using FORCCHN2 in fields as diverse as forest ecology, climate change, and carbon estimation.