Abstract

The partitioning of water fluxes in the critical zone is of great interest due to the implications for understanding water cycling and quantifying water availability for various ecosystem services. We used the tracer-aided ecohydrological model EcH2O-iso to evaluate water, energy, water stable isotope, and biomass dynamics at an intensively monitored study plot under two willow trees, a riparian species, in Berlin, Germany. Importantly, we assessed the value of in-situ soil and plant water isotope data to quantify xylem water sources and transit times, with coupled estimates of the temporal dynamics and ages of soil and root-uptake water. The willows showed high evapotranspiration water use, with limited percolation of summer precipitation to deeper soil layers due to the dominance of shallow root-uptake (> 80 % in the upper 10 cm). Lower evapotranspiration under grass resulted in higher soil moisture storage, greater soil evaporation and more percolation of soil water. Biomass allocation was predominantly foliage growth (57 % in grass and 78 % in willow). Shallow soil water age under grass was similar to under willows (15–17 days). Considering potential xylem transit times showed a large improvement in the model's capability to estimate xylem isotopic composition and water age, and revealed the high value of in-situ data within modelling. Root-uptake was predominately derived from summer precipitation events (56 %) and had an average age of 35 days, with xylem transport times taking at least 6.2–8.1 days. By evaluating water partitioning, energy and isotope mass-balance, along with biomass allocation, the model revealed multifaceted capabilities for assessing water cycling within the critical zone at high temporal resolution, including xylem water sources and transport, which are all necessary for short and long-term assessment of water availability for plant growth.

Highlights

  • Understanding how water is partitioned in the Critical Zone (CZ), the near-surface zone from the top of the vegetation canopy to groundwater (Grant and Dietrich, 2017), is essential for improving knowledge of landscape functionality while providing an evidence base for sustainable water management strategies

  • While measurements of ET and transpiration fluxes help to quantify water partitioning, these measurements usually do not constrain the dynamics of how water is taken from different water sources which may greatly change with wetness conditions (Rothfuss and Javaux, 2017), climate zone (Amin et al, 2020), and seasonally (Barbeta and 35 Peñuelas, 2017)

  • In this regard it is possible that zones of higher soil moisture are present at locations below the canopy where throughfall is concentrated (Gerrits et al, 2010) which could in turn influence and increase dynamics of near surface soil water isotopic compositions

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Summary

Introduction

Understanding how water is partitioned in the Critical Zone (CZ), the near-surface zone from the top of the vegetation canopy to groundwater (Grant and Dietrich, 2017), is essential for improving knowledge of landscape functionality while providing an evidence base for sustainable water management strategies. While measurements of ET and transpiration fluxes help to quantify water partitioning, these measurements usually do not constrain the dynamics of how water is taken from different water sources (i.e. different soil depths) which may greatly change with wetness conditions (Rothfuss and Javaux, 2017), climate zone (Amin et al, 2020), and seasonally (Barbeta and 35 Peñuelas, 2017) In regions such as the North European Plain, where ET dominates precipitation water partitioning (>90%, UFZ (2021)), seasonal variations in ET greatly reduce water availability beyond vegetation uptake during the growing season. Tracers in soils and xylem, conservative water stable isotopes deuterium (2H) and oxygen-18 (18O), have previously been shown to be 50 effective tools to help constrain root-water uptake sources using various approaches (Rothfuss and Javaux, 2017) These approaches usually use mixing relationships; including linear mixing models of water derived from different pools Higher resolution sampling is beneficial as it can provide a wider range of temporal conditions (e.g. event rewetting) in which helps to increase confidence in model performance and in the assessment of model structure

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