the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Assessing the seasonal compartmentalization of water fluxes in the soil-plant-atmosphere continuum of a high-elevation mountain grassland
Abstract. Improving our understanding of snow–groundwater connectivity remains a key challenge in high-elevation mountain environments. This calls for a multidisciplinary and multimethod research framework that integrates different types of field observations, including the collection of water samples from diverse sources for stable isotope analysis. However, in remote alpine areas, the limited frequency of sampling hinders the generation of robust, data-driven insights into ecohydrological processes. Therefore, accurately modelling water movement and stable isotope transport through soil, vegetation, and groundwater recharge is essential for advancing our understanding of the hydrological functioning of high-altitude ecosystems.
In this work, we combine a recently introduced snow isotope model with the HYDRUS-1D model to simulate water fluxes and isotope transport within the soil–plant–atmosphere continuum of a high-elevation mountain grassland located in the Aosta Valley, north-western Italy. We use this modelling framework to:
- investigate the seasonal origin of two key water fluxes, namely transpiration and deep drainage (the latter assumed to contribute to groundwater recharge)
- clarify how seasonal water inputs and root water uptake patterns contribute to ecohydrological separation.
The results reveal the effectiveness of the proposed modelling framework in accurately simulating volumetric water content, actual evapotranspiration, and isotope dynamics at the study site. Based on the model outputs, a higher degree of separation between the water used by plants and the water contributing to deep drainage is observed during intense snowmelt periods. Under these conditions, meltwater (winter water) rapidly drains through the lower soil layers, whereas rainfall (summer water), which predominantly occurs after the snowmelt period, remains in the soil longer, sustaining plant transpiration. However, in 2022, we observed a shift in hydrological functioning: a greater proportion of winter water contributed to transpiration fluxes under drought conditions. This finding offers valuable insight into how mountain ecosystems may respond to projected increases in temperature and decreases in solid precipitation.
Overall, this work highlights the hydrological conditions that drive the seasonal compartmentalization of water resources in a high-elevation alpine environment, with potential implications for similar mountainous regions worldwide.
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Status: final response (author comments only)
- RC1: 'Comment on egusphere-2025-6329', Anonymous Referee #1, 07 Feb 2026
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RC2: 'Comment on egusphere-2025-6329', Judith Eeckman, 20 Apr 2026
This work investigates the highly relevant question of the seasonal dynamics of water transfers in shallow soils (<60 cm depth) in an alpine grassland context. In particular, this work aims to distinguish between the seasonality of water available for vegetation and the water that percolates vertically to recharge groundwater. Isotopic transfers are modeled using the HYDRUS-1D model. Meteorological data are measured locally, and samples for isotopic analyses are collected monthly.
I mainly have a few substantive comments on this work, which is overall comprehensive:
- The use of snow depth measurements to estimate melt flux is very simplistic. Indeed, this does not account for processes such as compaction, refreezing, stratification, etc. Snow sublimation is not mentioned. The degree-day model is simplistic and poorly represents these fluxes. Is sublimation accounted for in the calculation of AET in winter? There are instrumental methods for directly calculating melt flux ( see Eeckman et al., 2025).
This point could be specified in the “dataset” paragraph or in the discussion. - The issue of rain-on-snow is not addressed: how does the degree-day model respond in this case? There could perhaps be specific thresholds for such conditions. Have you observed this situation in your meteorological data? This is a very important point for estimating melt flux, especially in spring.
- How do you consider lateral transfers? In steep slope contexts, infiltration upstream can be transferred laterally at shallow depths (<60 cm) and re-emerge downslope to supply the root zone again. In these specific contexts, infiltration at the bottom of the soil column does not necessarily lead to groundwater recharge or streamflow contribution.
Minor remarks:
- l. 99 “In Swiss catchment”: please provide references and/or describe which catchments.
- Figure 1: how is the AET presented in this figure calculated?
- l. 245: do you have a reference for this thermal lapse rate in the region?
- l. 310: eq. 2.7, 2.8: please provide references for these equations.
- Figure 7: the measured and simulated data are not distinguishable in the figure.
- Figure 8: there are many overlapping curves. Could these be separated into multiple panels for better readability?
- Figure 12: specify the variables simulated with HYDRUS-1D.
Citation: https://doi.org/10.5194/egusphere-2025-6329-RC2 - The use of snow depth measurements to estimate melt flux is very simplistic. Indeed, this does not account for processes such as compaction, refreezing, stratification, etc. Snow sublimation is not mentioned. The degree-day model is simplistic and poorly represents these fluxes. Is sublimation accounted for in the calculation of AET in winter? There are instrumental methods for directly calculating melt flux ( see Eeckman et al., 2025).
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Dear Authors, please find my comments in the attached PDF file.