- 1Interuniversity Department of Regional and Urban Studies and Planning (DIST), University of Turin and Polytechnic University of Turin, 10125 Turin, Italy (alessio.gentile@unito.it; alessio.gentile@polito.it)
- 2Faculty of Science and Technology, FreeUniversity of Bozen-Bolzano, Bolzano, Italy
- 3Department of Land, Environment, Agriculture and Forestry (TESAF), University of Padova, Legnaro, Italy
- 4Department of Chemical Sciences (DiSC), University of Padova, Padua, Italy
Soil and xylem water samples are increasingly collected for isotope analysis to study the movement of water within the soil-plant-atmosphere continuum in alpine ecosystems. However, the low sampling frequency, mainly due to severe winter weather conditions and impervious topography, remains a significant obstacle for building a comprehensive, data-driven understanding of hydrological processes in high-elevation environments.
This study focuses on integrating a newly proposed snow isotope model with HYDRUS-1D to simulate the movement of water and isotopes through the soil-plant-atmosphere continuum in a mountain grassland at 2550 m a.s.l. in the Aosta Valley, northwest Italy. While uncertainties remain regarding the timing and distribution of infiltration during snowmelt and variations in snow isotopic composition, the combined modeling approach successfully reproduces patterns of soil moisture, evapotranspiration, and isotope behavior at the site.
A key finding is the seasonal origin of water: winter-derived water (i.e., snowmelt) primarily contributes to groundwater recharge through soil percolation, while summer-derived water (i.e., rainfall) dominates plants transpiration. Evidence supporting this seasonal pattern comes also from observed isotope dynamics in both the monitored spring water and xylem water. Notably, during the 2022 drought, the ecosystem relied more heavily on winter-origin water to support evapotranspiration, providing a glimpse into how such systems might adapt to future conditions with higher temperatures and reduced snowfall.
This work was supported by the NODES project, funded under MUR – M4C2 1.5 of the PNRR with resources from the European Union - NextGenerationEU (Grant agreement no. ECS00000036), as well as the MUR PRIN project SUNSET (202295PFKP_003).
How to cite: Gentile, A., Brighenti, S., Zuecco, G., Gisolo, D., Canone, D., Hamza, T., and Ferraris, S.: Seasonal origin of water in a high-elevation grassland: insights from a modelling approach using a snow isotope model and HYDRUS-1D , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-9827, https://doi.org/10.5194/egusphere-egu25-9827, 2025.