Biogeosciences
Biogeosciences
BG
Articles | Volume 16, issue 2
Articles | Volume 16, issue 2
https://doi.org/10.5194/bg-16-467-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-467-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 2
Research article
 | 
25 Jan 2019
Research article |  | 25 Jan 2019

A simple time-stepping scheme to simulate leaf area index, phenology, and gross primary production across deciduous broadleaf forests in the eastern United States

Qinchuan Xin, Yongjiu Dai, and Xiaoping Liu

Viewed

Total article views: 2,631 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,765 789 77 2,631 59 73
  • HTML: 1,765
  • PDF: 789
  • XML: 77
  • Total: 2,631
  • BibTeX: 59
  • EndNote: 73
Views and downloads (calculated since 03 Sep 2018)
Cumulative views and downloads (calculated since 03 Sep 2018)

Viewed (geographical distribution)

Total article views: 2,631 (including HTML, PDF, and XML) Thereof 2,299 with geography defined and 332 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
Terrestrial biosphere models that simulate both leaf dynamics and canopy photosynthesis are required to understand vegetation–climate interactions. A time-stepping scheme is proposed to simulate leaf area index, phenology, and gross primary production via climate variables. The method performs well on simulating deciduous broadleaf forests across the eastern United States; it provides a simplified and improved version of the growing production day model for use in land surface modeling.
Read more
Altmetrics
Final-revised paper
Preprint