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Hydrological Sciences Journal
Article . 2022 . Peer-reviewed
License: CC BY NC ND
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Hydrological Sciences Journal
Article . 2022 . Peer-reviewed
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Partitioning evapotranspiration using water stable isotopes and information from lysimeter experiments

Authors: Liebhard, Gunther; Klik, Andreas; Stumpp, Christine; Nolz, Reinhard;

Partitioning evapotranspiration using water stable isotopes and information from lysimeter experiments

Abstract

Stable isotope techniques can be used to investigate evapotranspiration and its partitioning into evaporation and transpiration. However, verification is often difficult due to missing information about actual evapotranspiration. Therefore, in this study a methodology tested for laboratory conditions was modified for field applications. Evapotranspiration, which was determined by weighing lysimeters, and isotope techniques were combined with soil water and lysimeter measurements to calculate evaporation and transpiration rates of soybean under natural conditions. The case study was conducted in 2019 in Groß-Enzersdorf, Austria. The results show that the methodology was suited to measure actual variations of evaporation and transpiration ratios, even during dry periods. Weekly evaporation (0.5–2.2 mm d−1) and transpiration (1.3–4.3 mm d−1) rates as well as the respective ratios (transpiration 43–85%) agreed with the results of numerical modelling and values from the literature, confirming the applicability of the modified methodology for portioning evapotranspiration in the field.

Project Co-ordinators: Dr. Jose Alfonso Gómez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU).

This work was supported by the European Union’s Horizon 2020 Framework Programme [773903].

Peer reviewed

Keywords

Evaporation, Mass balance, Isotopic fractionation, Soybean, HYDRUS-1D, Transpiration

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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