Biogeosciences
Biogeosciences
BG
Articles | Volume 18, issue 2
Articles | Volume 18, issue 2
https://doi.org/10.5194/bg-18-605-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-605-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 2
Research article
 | 
27 Jan 2021
Research article |  | 27 Jan 2021

Estimating maximum fine-fraction organic carbon in UK grasslands

Kirsty C. Paterson, Joanna M. Cloy, Robert M. Rees, Elizabeth M. Baggs, Hugh Martineau, Dario Fornara, Andrew J. Macdonald, and Sarah Buckingham

Viewed

Total article views: 2,308 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,521 736 51 2,308 50 63
  • HTML: 1,521
  • PDF: 736
  • XML: 51
  • Total: 2,308
  • BibTeX: 50
  • EndNote: 63
Views and downloads (calculated since 12 Aug 2020)
Cumulative views and downloads (calculated since 12 Aug 2020)

Viewed (geographical distribution)

Total article views: 2,308 (including HTML, PDF, and XML) Thereof 2,061 with geography defined and 247 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
Soil organic carbon sequestration across agroecosystems worldwide can contribute to mitigating the effects of climate change by reducing levels of atmospheric carbon dioxide. The maximum carbon sequestration potential is frequently estimated using the linear regression equation developed by Hassink (1997). This work examines the suitability of this equation for use in grasslands across the United Kingdom. The results highlight the need to ensure the fit of equations to the soils being studied.
Read more
Altmetrics
Final-revised paper
Preprint