Biogeosciences
Biogeosciences
BG
Articles | Volume 20, issue 13
Articles | Volume 20, issue 13
https://doi.org/10.5194/bg-20-2727-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-20-2727-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 13
Research article
 | 
12 Jul 2023
Research article |  | 12 Jul 2023

Revisiting and attributing the global controls over terrestrial ecosystem functions of climate and plant traits at FLUXNET sites via causal graphical models

Haiyang Shi, Geping Luo, Olaf Hellwich, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde

Viewed

Total article views: 2,207 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,712 417 78 2,207 63 66 52
  • HTML: 1,712
  • PDF: 417
  • XML: 78
  • Total: 2,207
  • Supplement: 63
  • BibTeX: 66
  • EndNote: 52
Views and downloads (calculated since 13 Sep 2022)
Cumulative views and downloads (calculated since 13 Sep 2022)

Viewed (geographical distribution)

Total article views: 2,207 (including HTML, PDF, and XML) Thereof 2,118 with geography defined and 89 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Apr 2025
Download
Short summary
In studies on the relationship between ecosystem functions and climate and plant traits, previously used data-driven methods such as multiple regression and random forest may be inadequate for representing causality due to limitations such as covariance between variables. Based on FLUXNET site data, we used a causal graphical model to revisit the control of climate and vegetation traits over ecosystem functions.
Read more
Share
Altmetrics
Final-revised paper
Preprint