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

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (31 Oct 2018) by Steven Bouillon
AR by Hilary Ford on behalf of the Authors (12 Nov 2018)
ED: Referee Nomination & Report Request started (27 Nov 2018) by Steven Bouillon
RR by Anonymous Referee #1 (10 Dec 2018)
ED: Publish subject to minor revisions (review by editor) (08 Jan 2019) by Steven Bouillon
AR by Hilary Ford on behalf of the Authors (08 Jan 2019)  Author's response   Manuscript 
ED: Publish as is (11 Jan 2019) by Steven Bouillon
AR by Hilary Ford on behalf of the Authors (16 Jan 2019)
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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.
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