Articles | Volume 16, issue 23
https://doi.org/10.5194/bg-16-4577-2019
https://doi.org/10.5194/bg-16-4577-2019
Research article
 | 
03 Dec 2019
Research article |  | 03 Dec 2019

Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO2: simulations using an explicitly competitive, game-theoretic vegetation demographic model

Ensheng Weng, Ray Dybzinski, Caroline E. Farrior, and Stephen W. Pacala

Viewed

Total article views: 3,184 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,226 902 56 3,184 235 61 70
  • HTML: 2,226
  • PDF: 902
  • XML: 56
  • Total: 3,184
  • Supplement: 235
  • BibTeX: 61
  • EndNote: 70
Views and downloads (calculated since 18 Feb 2019)
Cumulative views and downloads (calculated since 18 Feb 2019)

Viewed (geographical distribution)

Total article views: 3,184 (including HTML, PDF, and XML) Thereof 2,784 with geography defined and 400 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
Download
Short summary
Our study illustrates that the competition processes for light and soil resources in a game-theoretic vegetation demographic model can substantially change the prediction of the contribution of ecosystems to the global carbon cycle. The model that tracks the competitive allocation strategies can generate significantly different ecosystem-level predictions than those with fixed allocation strategies.
Altmetrics
Final-revised paper
Preprint