Articles | Volume 22, issue 12
https://doi.org/10.5194/bg-22-2935-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Altered seasonal sensitivity of net ecosystem exchange to controls driven by nutrient balances in a semi-arid savanna
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- Final revised paper (published on 25 Jun 2025)
- Supplement to the final revised paper
- Preprint (discussion started on 17 Oct 2024)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on egusphere-2024-3190', Anonymous Referee #1, 07 Nov 2024
- AC1: 'Reply on RC1', Laura Nadolski, 05 Feb 2025
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RC2: 'Comment on egusphere-2024-3190', Anonymous Referee #2, 14 Jan 2025
- AC2: 'Reply on RC2', Laura Nadolski, 05 Feb 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Reconsider after major revisions (12 Feb 2025) by Marijn Bauters
AR by Laura Nadolski on behalf of the Authors (24 Feb 2025)
Author's response
Author's tracked changes
Manuscript
ED: Reconsider after major revisions (09 Mar 2025) by Marijn Bauters
ED: Referee Nomination & Report Request started (12 Mar 2025) by Marijn Bauters
RR by Anonymous Referee #1 (14 Mar 2025)
ED: Publish subject to technical corrections (18 Mar 2025) by Marijn Bauters
AR by Laura Nadolski on behalf of the Authors (21 Mar 2025)
Author's response
Manuscript
In a world dealing with a changing climate, there is a need for studies investigating environmental changes following anthropogenic influences, especially in understudied ecosystems with complex dynamics such as semi-arid savannas. This study uses an unique long term dataset collected in a large-scale nutrient addition experiment in a semi-arid savanna in Spain to look into the effect of altered nutrient levels on the relationships between NEE and it’s key drivers, using robust methods as Singular Spectrum Analysis and Information Theory. The long term dataset is analyzed both as a whole and divided into phenological seasons, which results in a deeper understanding of the ecosystem as wel as interesting insights into the effects of the nutrient addition, underneath the water or energy limitation during different seasons. The methods are well explained and the important results are wel discussed, however some points (attached in supplement) require further clarification or discussion.