Articles | Volume 29, issue 8
https://doi.org/10.5194/hess-29-2081-2025
https://doi.org/10.5194/hess-29-2081-2025
Research article
 | 
25 Apr 2025
Research article |  | 25 Apr 2025

Integration of the vegetation phenology module improves ecohydrological simulation by the SWAT-Carbon model

Mingwei Li, Shouzhi Chen, Fanghua Hao, Nan Wang, Zhaofei Wu, Yue Xu, Jing Zhang, Yongqiang Zhang, and Yongshuo H. Fu

Viewed

Total article views: 1,010 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
496 190 324 1,010 56 36 33
  • HTML: 496
  • PDF: 190
  • XML: 324
  • Total: 1,010
  • Supplement: 56
  • BibTeX: 36
  • EndNote: 33
Views and downloads (calculated since 13 May 2024)
Cumulative views and downloads (calculated since 13 May 2024)

Viewed (geographical distribution)

Total article views: 1,010 (including HTML, PDF, and XML) Thereof 951 with geography defined and 59 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Apr 2025
Download
Short summary
Climate-driven shifts in vegetation phenology have a significant impact on hydrological processes. In this study, we integrated a process-based phenology module into the SWAT-Carbon model, which led to a substantial improvement in the simulation of vegetation dynamics and hydrological processes in the Jinsha River watershed. Our findings highlight the critical need to incorporate vegetation phenology into hydrological models to achieve a more accurate representation of ecohydrological processes.
Share