EGU25-2250, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-2250
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 29 Apr, 08:30–10:15 (CEST), Display time Tuesday, 29 Apr, 08:30–12:30
 
Hall A, A.127
Decoding lake water dynamics to optimize watershed agriculture through isotopic analyses of memory effects and hydrological connectivity
Junen Wu1,2, Bin Yang3, Feng Cheng1, Fan Zhao4, Sha Ma1,2, Xia Yuan3, Huanhuan Zeng5, Cheng Tang6, Kun Yang1,2, and Lei Zhao1,2
Junen Wu et al.
  • 1Yunnan Normal University, Faculty of Geography, China (wujunen@ynnu.edu.cn)
  • 2GIS Technology Engineering Research Centre for West-China Resources and Environment, Ministry Education, Yunnan Normal University
  • 3CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences
  • 4School of Life Sciences, Yunnan Normal University
  • 5Jiangxi Academy of Forestry
  • 6Yunnan Key Laboratory of Pollution Process and Management of Plateau-Lake-Watershed, Yunnan Research Academy of Eco-Environmental Sciences

How to cite: Wu, J., Yang, B., Cheng, F., Zhao, F., Ma, S., Yuan, X., Zeng, H., Tang, C., Yang, K., and Zhao, L.: Decoding lake water dynamics to optimize watershed agriculture through isotopic analyses of memory effects and hydrological connectivity, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-2250, https://doi.org/10.5194/egusphere-egu25-2250, 2025.

This abstract has been withdrawn on 11 Apr 2025.