Articles | Volume 15, issue 22
https://doi.org/10.5194/gmd-15-8153-2022
https://doi.org/10.5194/gmd-15-8153-2022
Model description paper
 | 
14 Nov 2022
Model description paper |  | 14 Nov 2022

Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0)

Ensheng Weng, Igor Aleinov, Ram Singh, Michael J. Puma, Sonali S. McDermid, Nancy Y. Kiang, Maxwell Kelley, Kevin Wilcox, Ray Dybzinski, Caroline E. Farrior, Stephen W. Pacala, and Benjamin I. Cook

Viewed

Total article views: 4,253 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,358 827 68 4,253 101 57 57
  • HTML: 3,358
  • PDF: 827
  • XML: 68
  • Total: 4,253
  • Supplement: 101
  • BibTeX: 57
  • EndNote: 57
Views and downloads (calculated since 18 Mar 2022)
Cumulative views and downloads (calculated since 18 Mar 2022)

Viewed (geographical distribution)

Total article views: 4,253 (including HTML, PDF, and XML) Thereof 4,026 with geography defined and 227 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Nov 2024
Download
Short summary
We develop a demographic vegetation model to improve the representation of terrestrial vegetation dynamics and ecosystem biogeochemical cycles in the Goddard Institute for Space Studies ModelE. The individual-based competition for light and soil resources makes the modeling of eco-evolutionary optimality possible. This model will enable ModelE to simulate long-term biogeophysical and biogeochemical feedbacks between the climate system and land ecosystems at decadal to centurial temporal scales.