Articles | Volume 29, issue 2
https://doi.org/10.5194/hess-29-361-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-361-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jan 2025
Research article |
| 20 Jan 2025
| 20 Jan 2025
Revealing joint evolutions and causal interactions in complex ecohydrological systems by a network-based framework
Lu Wang
Institute of Water Science and Engineering, Zhejiang University, Hangzhou, 310058, China
Haiting Gu
CORRESPONDING AUTHOR
Institute of Water Science and Engineering, Zhejiang University, Hangzhou, 310058, China
Li Liu
Institute of Water Science and Engineering, Zhejiang University, Hangzhou, 310058, China
Xiao Liang
Institute of Water Science and Engineering, Zhejiang University, Hangzhou, 310058, China
Siwei Chen
Institute of Water Science and Engineering, Zhejiang University, Hangzhou, 310058, China
Institute of Water Science and Engineering, Zhejiang University, Hangzhou, 310058, China
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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.
To understand how ecohydrological variables evolve jointly and why, this study develops a...
