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

Data sets

Tigramite J. Runge https://github.com/jakobrunge/tigramite/

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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.