Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 17
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

Viewed

Total article views: 2,797 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,124 584 89 2,797 214 84 113
  • HTML: 2,124
  • PDF: 584
  • XML: 89
  • Total: 2,797
  • Supplement: 214
  • BibTeX: 84
  • EndNote: 113
Views and downloads (calculated since 17 Mar 2022)
Cumulative views and downloads (calculated since 17 Mar 2022)

Viewed (geographical distribution)

Total article views: 2,797 (including HTML, PDF, and XML) Thereof 2,622 with geography defined and 175 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
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.
Read more
Share