Critical Soil Moisture Content Estimated from Lysimeter Time Series for Different Soil, Vegetation and Weather conditions

Abstract

Evapotranspiration (ET) is a crucial terrestrial ecosystem process that links water, energy, and carbon cycles. ET can be limited by either energy or water availability. The transition between water- and energy-limited regimes is associated with the soil moisture content, and can be postulated as the soil moisture content reaching a threshold, denoted as critical soil moisture (θcrit). Knowledge of θcrit is important for improving land surface, hydrological and crop models and predicting hydroclimate extremes such as droughts and heatwaves. However, the quantification of θcrit and the factors that impact θcrit are still not well understood. Here we used precise lysimeter observations to quantify θcrit by analyzing the relationship between soil moisture content and evaporative fraction (EF), as well as the relationship between soil moisture content and the actual ET/ potential ET ratio during drydowns. We estimated θcrit not only at the surface layer using in situ soil moisture measurements at 10 cm depth, but also for the root zone using vertically integrated in situ soil moisture (0–50 cm) observations. We estimated θcrit across various soil textures (e.g., sandy loam, silty loam, clay loam), vegetation types (grass, crop), as well as weather conditions from western and eastern Germany (spatial distances: 10 ~ 600 km). Especially, with some lysimeters that were taken from their original environment and translocated to other regions, we can identify the shift of θcrit with the same soil and vegetation but under different weather conditions, which can provide implication on changes of θcrit under global warming. We would expect a dependence of θcrit on soil texture and weather condition. We found for example that at the same site with the same crop rotation on the lysimeters but different soils, the sandy loamy soil experienced a lower θcrit (approximate 0.15 m3/m3) than the silty loamy soil (approximate 0.17 m3/m3), indicating that the higher content of sand would lead to the lower θcrit. In addition, an increase in θcrit was observed when the lysimeter was translocated from a site with a lower potential ET to a site with a higher potential ET.

Authors 7

1. Xiao Lu corresponding Aachen Faculty of Georesources and Materials Engineering

   Forschungszentrum Jülich · RWTH Aachen University

   Affiliation as printed

   Faculty of Georesources and Materials Engineering, RWTH Aachen University, Aachen, Germany

   Forschungszentrum Jülich, IBG-3, Germany

2. Jannis Groh corresponding

   University of Bonn · Forschungszentrum Jülich · Leibniz Centre for Agricultural Landscape Research

   Affiliation as printed

   Forschungszentrum Jülich, IBG-3, Germany

   Institute of Crop Science and Resource Conservations (INRES) – Soil Science and Soil Ecology, University of Bonn, Bonn, Germany

   Research Area 1 “Landscape Functioning, Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany

   Research Area 1 "Landscape Functioning, Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany

3. Thomas Pütz corresponding

   Forschungszentrum Jülich

   Affiliation as printed

   Forschungszentrum Jülich, IBG-3, Germany

4. Alexander Graf corresponding

   Forschungszentrum Jülich

   Affiliation as printed

   Forschungszentrum Jülich, IBG-3, Germany

5. Mathieu Javaux

   Forschungszentrum Jülich · UCLouvain · KU Leuven

   Affiliation as printed

   Earth and Life Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium

   Forschungszentrum Jülich, IBG-3, Germany

6. Harry Vereecken corresponding

   Forschungszentrum Jülich

   Affiliation as printed

   Forschungszentrum Jülich, IBG-3, Germany

7. Harrie‐Jan Hendricks Franssen

   Forschungszentrum Jülich

   Affiliation as printed

   Forschungszentrum Jülich, IBG-3, Germany