Articles | Volume 19, issue 5
https://doi.org/10.5194/bg-19-1515-2022
© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.
Land Management Contributes significantly to observed Vegetation Browning in Syria during 2001–2018
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- Final revised paper (published on 17 Mar 2022)
- Supplement to the final revised paper
- Preprint (discussion started on 23 Jul 2021)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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CC1: 'Comment on bg-2021-173', Bin He, 08 Oct 2021
- AC3: 'Reply on CC1', Tiexi Chen, 09 Dec 2021
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RC1: 'Comment on bg-2021-173', Anonymous Referee #1, 08 Oct 2021
- AC1: 'Reply on RC1', Tiexi Chen, 09 Dec 2021
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EC1: 'Comment on bg-2021-173', Eyal Rotenberg, 08 Nov 2021
- AC2: 'Reply on EC1', Tiexi Chen, 09 Dec 2021
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) (11 Jan 2022) by Eyal Rotenberg
AR by Tiexi Chen on behalf of the Authors (18 Jan 2022)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (10 Feb 2022) by Eyal Rotenberg
AR by Tiexi Chen on behalf of the Authors (16 Feb 2022)
Author's response
Since the remote sensing vegetation indices have been well developed, extensive research has been conducted on vegetation change (greening or browning) and corresponding driver identification. Studies about the impact of land management is still lacking due to data and methods limitations. In this paper, the authors demonstrated a typical browning case over Syria by involving land management due to social unrest, which is quite innovative. This paper fits the scope of Biogeosciences and uses several methods with coherent results to support the conclusion. Therefore, an acceptance is suggested with some minor comments.
1) In section 2.2, the authors need to clarify which year or which period of the land cover data are used to abstract different vegetation types.
2) cropland or farmland? Should be consistent
3) Line 171, “The vegetation change in the study area is mainly constrained by the soil moisture and precipitation.” this sentence is ambiguous, soil moisture and precipitation are not independent factors.
4) The growing period is firstly defined in 3.1 section, which is used in the following analysis. The growing season usually defined in the method section. Meanwhile, growing season also should be labeled in figure 3.
5) irrigation distribution data was used in this study which is not mentioned in the method section?
6) section 3.3 is quite interesting, Figure 7b is not clear, maybe the authors could demonstrate the subregion in Figure 7a.
7) in the discussion section, the significance of Figure 7 is not well illustrated.