Articles | Volume 29, issue 2
https://doi.org/10.5194/hess-29-361-2025
https://doi.org/10.5194/hess-29-361-2025
Research article
 | 
20 Jan 2025
Research article |  | 20 Jan 2025

Revealing joint evolutions and causal interactions in complex ecohydrological systems by a network-based framework

Lu Wang, Haiting Gu, Li Liu, Xiao Liang, Siwei Chen, and Yue-Ping Xu

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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 hess-2024-226', Anonymous Referee #1, 26 Aug 2024
    • AC1: 'Reply on RC1', Lu Wang, 20 Sep 2024
  • RC2: 'Comment on hess-2024-226', Anonymous Referee #2, 26 Aug 2024
    • AC2: 'Reply on RC2', Lu Wang, 06 Oct 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (09 Oct 2024) by Xing Yuan
AR by Lu Wang on behalf of the Authors (18 Oct 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 Oct 2024) by Xing Yuan
RR by Anonymous Referee #2 (29 Oct 2024)
RR by Anonymous Referee #1 (08 Nov 2024)
ED: Publish as is (12 Nov 2024) by Xing Yuan
AR by Lu Wang on behalf of the Authors (12 Nov 2024)  Manuscript 
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Short summary
To understand how ecohydrological variables evolve jointly and why, this study develops a framework using correlation and causality to construct complex relationships between variables at the system level. Causality provides more detailed information that the compound causes of evolutions regarding any variable can be traced. Joint evolution is controlled by the combination of external drivers and direct causality. Overall, the study facilitates the comprehension of ecohydrological processes.