Biogeosciences
Biogeosciences
BG
Articles | Volume 17, issue 5
Articles | Volume 17, issue 5
https://doi.org/10.5194/bg-17-1293-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-1293-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 5
Research article
 | 
13 Mar 2020
Research article |  | 13 Mar 2020

Leveraging the signature of heterotrophic respiration on atmospheric CO2 for model benchmarking

Samantha J. Basile, Xin Lin, William R. Wieder, Melannie D. Hartman, and Gretchen Keppel-Aleks

Viewed

Total article views: 2,627 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,894 647 86 2,627 270 84 72
  • HTML: 1,894
  • PDF: 647
  • XML: 86
  • Total: 2,627
  • Supplement: 270
  • BibTeX: 84
  • EndNote: 72
Views and downloads (calculated since 15 Jul 2019)
Cumulative views and downloads (calculated since 15 Jul 2019)

Viewed (geographical distribution)

Total article views: 2,627 (including HTML, PDF, and XML) Thereof 2,364 with geography defined and 263 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Soil heterotrophic respiration (HR) is an important component of land–atmosphere carbon exchange but is difficult to observe globally. We analyzed the imprint that this flux leaves on atmospheric CO2 using a set of simulations from HR models with common inputs. Models that represent microbial processes are more variable and have stronger temperature sensitivity than those that do not. Our results show that we can use atmospheric CO2 observations to evaluate and improve models of HR.
Read more
Altmetrics
Final-revised paper
Preprint