Biogeosciences
Biogeosciences
BG
Articles | Volume 17, issue 22
Articles | Volume 17, issue 22
https://doi.org/10.5194/bg-17-5861-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-5861-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 22
Research article
 | Highlight paper
 | 
27 Nov 2020
Research article | Highlight paper |  | 27 Nov 2020

Investigating the sensitivity of soil heterotrophic respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model

Yonghong Yi, John S. Kimball, Jennifer D. Watts, Susan M. Natali, Donatella Zona, Junjie Liu, Masahito Ueyama, Hideki Kobayashi, Walter Oechel, and Charles E. Miller

Viewed

Total article views: 6,761 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
5,328 1,274 159 6,761 445 184 185
  • HTML: 5,328
  • PDF: 1,274
  • XML: 159
  • Total: 6,761
  • Supplement: 445
  • BibTeX: 184
  • EndNote: 185
Views and downloads (calculated since 22 Jun 2020)
Cumulative views and downloads (calculated since 22 Jun 2020)

Viewed (geographical distribution)

Total article views: 6,761 (including HTML, PDF, and XML) Thereof 6,176 with geography defined and 585 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 Dec 2025
Download
Short summary
We developed a 1 km satellite-data-driven permafrost carbon model to evaluate soil respiration sensitivity to recent snow cover changes in Alaska. Results show earlier snowmelt enhances growing-season soil respiration and reduces annual carbon uptake, while early cold-season soil respiration is linked to the number of snow-free days after the land surface freezes. Our results also show nonnegligible influences of subgrid variability in surface conditions on model-simulated CO2 seasonal cycles.
Read more
Share
Altmetrics
Final-revised paper
Preprint