Articles | Volume 28, issue 2
https://doi.org/10.5194/hess-28-321-2024
https://doi.org/10.5194/hess-28-321-2024
Research article
 | 
19 Jan 2024
Research article |  | 19 Jan 2024

Using statistical models to depict the response of multi-timescale drought to forest cover change across climate zones

Yan Li, Bo Huang, and Henning W. Rust

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (19 Jun 2023) by Genevieve Ali
AR by Yan Li on behalf of the Authors (30 Jun 2023)  Author's response   Author's tracked changes 
EF by Polina Shvedko (30 Jun 2023)  Manuscript 
ED: Referee Nomination & Report Request started (05 Jul 2023) by Genevieve Ali
RR by Anonymous Referee #1 (11 Jul 2023)
RR by Anonymous Referee #2 (31 Jul 2023)
ED: Publish subject to revisions (further review by editor and referees) (15 Aug 2023) by Genevieve Ali
AR by Yan Li on behalf of the Authors (18 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (21 Sep 2023) by Genevieve Ali
RR by Anonymous Referee #2 (21 Sep 2023)
ED: Publish as is (17 Nov 2023) by Genevieve Ali
AR by Yan Li on behalf of the Authors (21 Nov 2023)  Manuscript 
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Short summary
The inconsistent changes in temperature and precipitation induced by forest cover change are very likely to affect drought condition. We use a set of statistical models to explore the relationship between forest cover change and drought change in different timescales and climate zones. We find that the influence of forest cover on droughts varies under different precipitation and temperature quantiles. Forest cover also could modulate the impacts of precipitation and temperature on drought.