Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 9
Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-4067-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-13-4067-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 9
Model description paper
 | 
07 Sep 2020
Model description paper |  | 07 Sep 2020

Robust Ecosystem Demography (RED version 1.0): a parsimonious approach to modelling vegetation dynamics in Earth system models

Arthur P. K. Argles, Jonathan R. Moore, Chris Huntingford, Andrew J. Wiltshire, Anna B. Harper, Chris D. Jones, and Peter M. Cox

Viewed

Total article views: 3,672 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,658 946 68 3,672 79 73
  • HTML: 2,658
  • PDF: 946
  • XML: 68
  • Total: 3,672
  • BibTeX: 79
  • EndNote: 73
Views and downloads (calculated since 28 Nov 2019)
Cumulative views and downloads (calculated since 28 Nov 2019)

Viewed (geographical distribution)

Total article views: 3,672 (including HTML, PDF, and XML) Thereof 3,058 with geography defined and 614 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 26 Apr 2024
Download
Short summary
The Robust Ecosystem Demography (RED) model simulates cohorts of vegetation through mass classes. RED establishes a framework for representing demographic changes through competition, growth, and mortality across the size distribution of a forest. The steady state of the model can be solved analytically, enabling initialization. When driven by mean growth rates from a land-surface model, RED is able to fit the observed global vegetation map, giving a map of implicit mortality rates.
Read more
Special issue
Joint UK Land Environment Simulator (JULES) – configurations,...