Articles | Volume 20, issue 12
https://doi.org/10.5194/bg-20-2283-2023
https://doi.org/10.5194/bg-20-2283-2023
Research article
 | Highlight paper
 | 
20 Jun 2023
Research article | Highlight paper |  | 20 Jun 2023

Quantifying land carbon cycle feedbacks under negative CO2 emissions

V. Rachel Chimuka, Claude-Michel Nzotungicimpaye, and Kirsten Zickfeld

Viewed

Total article views: 2,310 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,604 661 45 2,310 135 37 23
  • HTML: 1,604
  • PDF: 661
  • XML: 45
  • Total: 2,310
  • Supplement: 135
  • BibTeX: 37
  • EndNote: 23
Views and downloads (calculated since 05 Sep 2022)
Cumulative views and downloads (calculated since 05 Sep 2022)

Viewed (geographical distribution)

Total article views: 2,310 (including HTML, PDF, and XML) Thereof 2,199 with geography defined and 111 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 May 2024
Download
Co-editor-in-chief
This study is the first to quantify land carbon cycle feedbacks under decreasing atmospheric CO2 concentration following negative CO2 emissions and compare them to feedbacks under positive emissions. The novel approach presented here reduces the carbon cycle inertia in the phase where atmospheric CO2 concentration decreases in order to improve the quantification of carbon cycle feedbacks under negative emissions. This approach reduced the effectivity of negative emissions in reducing atmospheric CO2, due to larger concentration-carbon and climate-carbon feedbacks.
Short summary
We propose a new method to quantify carbon cycle feedbacks under negative CO2 emissions. Our method isolates the lagged carbon cycle response to preceding positive emissions from the response to negative emissions. Our findings suggest that feedback parameters calculated with the novel approach are larger than those calculated with the conventional approach whereby carbon cycle inertia is not corrected for, with implications for the effectiveness of carbon dioxide removal in reducing CO2 levels.
Altmetrics
Final-revised paper
Preprint