Biogeosciences
Biogeosciences
BG
Articles | Volume 22, issue 8
Articles | Volume 22, issue 8
https://doi.org/10.5194/bg-22-2115-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-22-2115-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 8
Research article
 | 
30 Apr 2025
Research article |  | 30 Apr 2025

Optimal set of leaf and aboveground tree elements for predicting forest functioning

Écio Souza Diniz, Eladio Rodríguez-Penedo, Roger Grau-Andrés, Jordi Vayreda, and Marcos Fernández-Martínez

Viewed

Total article views: 3,523 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,392 675 456 3,523 173 267
  • HTML: 2,392
  • PDF: 675
  • XML: 456
  • Total: 3,523
  • BibTeX: 173
  • EndNote: 267
Views and downloads (calculated since 12 Sep 2024)
Cumulative views and downloads (calculated since 12 Sep 2024)

Viewed (geographical distribution)

Total article views: 3,523 (including HTML, PDF, and XML) Thereof 3,523 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 27 May 2026
Download
Short summary
In this study, we found that the accumulation of nutrients (e.g., carbon, nitrogen, phosphorus, calcium) in leaves is an important factor in explaining tree growth in forest ecosystems. This result provides evidence for forest growth studies aimed at forest conservation and restoration to better direct their resources to data collection and measurement. Collecting data on nutrient stocks in tree leaves can also provide valuable information to broaden our understanding of forest functioning.
Read more
Share
Altmetrics
Final-revised paper
Preprint