Articles | Volume 22, issue 6
https://doi.org/10.5194/bg-22-1597-2025
https://doi.org/10.5194/bg-22-1597-2025
Research article
 | 
27 Mar 2025
Research article |  | 27 Mar 2025

Precipitation–fire functional interactions control biomass stocks and carbon exchanges across the world's largest savanna

Mathew Williams, David T. Milodowski, T. Luke Smallman, Kyle G. Dexter, Gabi C. Hegerl, Iain M. McNicol, Michael O'Sullivan, Carla M. Roesch, Casey M. Ryan, Stephen Sitch, and Aude Valade

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-2497', Anonymous Referee #1, 28 Oct 2024
    • AC1: 'Reply on RC1', Mathew Williams, 29 Nov 2024
  • RC2: 'Comment on egusphere-2024-2497', Anonymous Referee #2, 18 Nov 2024
    • AC2: 'Reply on RC2', Mathew Williams, 29 Nov 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (02 Dec 2024) by Xi Yang
AR by Mathew Williams on behalf of the Authors (16 Dec 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (12 Jan 2025) by Xi Yang
AR by Mathew Williams on behalf of the Authors (16 Jan 2025)  Author's response   Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Mathew Williams on behalf of the Authors (17 Mar 2025)   Author's adjustment   Manuscript
EA: Adjustments approved (18 Mar 2025) by Xi Yang
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Short summary
Southern African woodlands are important in both regional and global carbon cycles. A new carbon analysis created by combining satellite data with ecosystem modelling shows that the region has a neutral C balance overall but with important spatial variations. Patterns of biomass and C balance across the region are the outcome of climate controls on production and vegetation–fire interactions, which determine the mortality of vegetation and spatial variations in vegetation function.
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