Biogeosciences
Biogeosciences
BG
Articles | Volume 14, issue 20
Articles | Volume 14, issue 20
https://doi.org/10.5194/bg-14-4733-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-4733-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 14, issue 20
Research article
 | 
25 Oct 2017
Research article |  | 25 Oct 2017

An assessment of geographical distribution of different plant functional types over North America simulated using the CLASS–CTEM modelling framework

Rudra K. Shrestha, Vivek K. Arora, Joe R. Melton, and Laxmi Sushama

Viewed

Total article views: 2,197 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,143 935 119 2,197 89 123
  • HTML: 1,143
  • PDF: 935
  • XML: 119
  • Total: 2,197
  • BibTeX: 89
  • EndNote: 123
Views and downloads (calculated since 06 Mar 2017)
Cumulative views and downloads (calculated since 06 Mar 2017)

Viewed (geographical distribution)

Total article views: 2,197 (including HTML, PDF, and XML) Thereof 2,098 with geography defined and 99 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
Computer models of vegetation provide a tool to assess how future changes in climate may the affect geographical distribution of vegetation. However, such models must first be assessed for their ability to reproduce the present-day geographical distribution of vegetation. Here, we assess the ability of one such dynamic vegetation model. We find that while the model is broadly successful in reproducing the geographical distribution of trees and grasses in North America some limitations remain.
Read more
Altmetrics
Final-revised paper
Preprint