Articles | Volume 21, issue 4
https://doi.org/10.5194/nhess-21-1209-2021
https://doi.org/10.5194/nhess-21-1209-2021
Research article
 | 
13 Apr 2021
Research article |  | 13 Apr 2021

Establishment and characteristics analysis of a crop–drought vulnerability curve: a case study of European winter wheat

Yanshen Wu, Hao Guo, Anyu Zhang, and Jing'ai Wang

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Status: closed
Status: closed
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 (further review by editor and referees) (24 Mar 2020) by Paolo Tarolli
AR by Yanshen Wu on behalf of the Authors (03 Apr 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (16 Apr 2020) by Paolo Tarolli
RR by Anonymous Referee #2 (04 May 2020)
RR by Anonymous Referee #1 (04 May 2020)
RR by Anonymous Referee #3 (26 May 2020)
ED: Reconsider after major revisions (further review by editor and referees) (08 Jun 2020) by Paolo Tarolli
AR by Yanshen Wu on behalf of the Authors (24 Oct 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Oct 2020) by Paolo Tarolli
RR by Anonymous Referee #3 (23 Nov 2020)
ED: Reconsider after major revisions (further review by editor and referees) (29 Nov 2020) by Paolo Tarolli
AR by Yanshen Wu on behalf of the Authors (01 Jan 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (06 Jan 2021) by Paolo Tarolli
RR by Anonymous Referee #3 (19 Jan 2021)
ED: Publish as is (21 Jan 2021) by Paolo Tarolli
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Short summary
To improve the quantitative degree of spatial analysis of vulnerability, we construct grid-scale drought vulnerability curves of European winter wheat based on model simulation, and we discuss their spatial differences through feature points and clustering features. These vulnerability curves show zonal differences, which can be divided into five loss types, and the vulnerability increases from south to north. The results can provide guidance for regionalized risk management.
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