Articles | Volume 16, issue 2
https://doi.org/10.5194/bg-16-425-2019
https://doi.org/10.5194/bg-16-425-2019
Research article
 | 
25 Jan 2019
Research article |  | 25 Jan 2019

Large-scale predictions of salt-marsh carbon stock based on simple observations of plant community and soil type

Hilary Ford, Angus Garbutt, Mollie Duggan-Edwards, Jordi F. Pagès, Rachel Harvey, Cai Ladd, and Martin W. Skov

Viewed

Total article views: 3,207 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,146 990 71 3,207 406 48 70
  • HTML: 2,146
  • PDF: 990
  • XML: 71
  • Total: 3,207
  • Supplement: 406
  • BibTeX: 48
  • EndNote: 70
Views and downloads (calculated since 15 Aug 2018)
Cumulative views and downloads (calculated since 15 Aug 2018)

Viewed (geographical distribution)

Total article views: 3,207 (including HTML, PDF, and XML) Thereof 2,715 with geography defined and 492 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Apr 2024
Download
Short summary
Carbon stored in coastal wetlands is of global relevance to climate regulation, but broadscale inventories of this "blue carbon" are lacking. Sampling salt marshes in the UK, we developed a predictive tool with the capacity to predict up to 44 % of spatial variation in soil carbon from simple observations of plant community and soil type. Marsh-specific maps of soil carbon were also produced, demonstrating the application of this easy-to-use tool for landscape-scale predictions of blue carbon.
Altmetrics
Final-revised paper
Preprint