Open AccessOn the impact of increasing drought on the relationship between soil water content and evapotranspiration of a grassland
Author(s) -
Rahmati Mehdi,
Groh Jannis,
Graf Alexander,
Pütz Thomas,
Vanderborght Jan,
Vereecken Harry
Publication year - 2020
Publication title -
vadose zone journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.036
H-Index - 81
ISSN - 1539-1663
DOI - 10.1002/vzj2.20029
Subject(s) - evapotranspiration , environmental science , dryness , soil water , water content , lysimeter , water balance , grassland , hydrology (agriculture) , agronomy , soil science , ecology , geology , geotechnical engineering , biology , medicine , surgery
Weighable lysimeters were used to study the relation between soil water content (SWC) and the actual evapotranspiration (ET a ) of grassland under two different climate regimes of Rollesbroich and Selhausen but for an identical soil from Rollesbroich. All components of the water balance were determined from 2012 until 2018. Budyko analysis was used to characterize the hydrological status of the studied sites. Wavelet analysis was also applied to study the power spectrum of ET a , vegetation‐height‐adjusted reference evapotranspiration (ET crop ), and water stress index (WSI) defined as ET a /ET crop , as well as SWC at three different depths and the coherence between SWC and ET a and WSI. The Budyko analysis showed that 2018 resulted in a shift of both locations towards more water‐limited conditions, although Rollesbroich remained an energy‐limited system. Based on the power spectrum analysis, the annual timescale is the dominant scale for the temporal variability of ET a , ET crop , and SWC. The results also showed that increasing dryness at the energy‐limited site led to more temporal variability of SWC at all depths at the annual timescale. Wavelet coherence analysis showed a reduction of the phase shift between SWC and ET a at an annual scale caused by the increase in dryness during the measurement period. We found that phase shifts between SWC and ET a and SWC and WSI were stronger at the water‐limited site than at the energy‐limited site. The wavelet coherence analysis also showed that from 2014 to 2018, the control of ET a and WSI on SWC increased due to higher dryness of soil.