Biogeosciences
Biogeosciences
BG
Articles | Volume 19, issue 5
Articles | Volume 19, issue 5
https://doi.org/10.5194/bg-19-1469-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-1469-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 5
Research article
 | 
14 Mar 2022
Research article |  | 14 Mar 2022

Implementation of mycorrhizal mechanisms into soil carbon model improves the prediction of long-term processes of plant litter decomposition

Weilin Huang, Peter M. van Bodegom, Toni Viskari, Jari Liski, and Nadejda A. Soudzilovskaia

Viewed

Total article views: 2,385 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,698 629 58 2,385 48 33 34
  • HTML: 1,698
  • PDF: 629
  • XML: 58
  • Total: 2,385
  • Supplement: 48
  • BibTeX: 33
  • EndNote: 34
Views and downloads (calculated since 22 Oct 2021)
Cumulative views and downloads (calculated since 22 Oct 2021)

Viewed (geographical distribution)

Total article views: 2,385 (including HTML, PDF, and XML) Thereof 2,293 with geography defined and 92 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Apr 2024
Download
Short summary
This work focuses on one of the essential pathways of mycorrhizal impact on C cycles: the mediation of plant litter decomposition. We present a model based on litter chemical quality which precludes a conclusive examination of mycorrhizal impacts on soil C. It improves long-term decomposition predictions and advances our understanding of litter decomposition dynamics. It creates a benchmark in quantitatively examining the impacts of plant–microbe interactions on soil C dynamics.
Read more
Altmetrics
Final-revised paper
Preprint