Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 6
Articles | Volume 16, issue 6
https://doi.org/10.5194/gmd-16-1661-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-1661-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 6
Model evaluation paper
 | 
23 Mar 2023
Model evaluation paper |  | 23 Mar 2023

Validation of a new spatially explicit process-based model (HETEROFOR) to simulate structurally and compositionally complex forest stands in eastern North America

Arthur Guignabert, Quentin Ponette, Frédéric André, Christian Messier, Philippe Nolet, and Mathieu Jonard

Viewed

Total article views: 1,949 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,503 400 46 1,949 162 37 41
  • HTML: 1,503
  • PDF: 400
  • XML: 46
  • Total: 1,949
  • Supplement: 162
  • BibTeX: 37
  • EndNote: 41
Views and downloads (calculated since 23 Nov 2022)
Cumulative views and downloads (calculated since 23 Nov 2022)

Viewed (geographical distribution)

Total article views: 1,949 (including HTML, PDF, and XML) Thereof 1,874 with geography defined and 75 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jul 2024
Download
Short summary
Spatially explicit and process-based models are useful to test innovative forestry practices under changing and uncertain conditions. However, their larger use is often limited by the restricted range of species and stand structures they can reliably account for. We therefore calibrated and evaluated such a model, HETEROFOR, for 23 species across southern Québec. Our results showed that the model is robust and can predict accurately both individual tree growth and stand dynamics in this region.
Read more