Articles | Volume 19, issue 5
https://doi.org/10.5194/bg-19-1469-2022
https://doi.org/10.5194/bg-19-1469-2022
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: 2,840 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,058 689 93 2,840 65 54 59
  • HTML: 2,058
  • PDF: 689
  • XML: 93
  • Total: 2,840
  • Supplement: 65
  • BibTeX: 54
  • EndNote: 59
Views and downloads (calculated since 22 Oct 2021)
Cumulative views and downloads (calculated since 22 Oct 2021)

Viewed (geographical distribution)

Total article views: 2,840 (including HTML, PDF, and XML) Thereof 2,743 with geography defined and 97 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Nov 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.
Altmetrics
Final-revised paper
Preprint