Quantification of plant water uptake by water stable isotopes in rice paddy systems

Mahindawansha, Amani; Orlowski, Natalie; Kraft, Philipp; Rothfuss, Youri; Racela, Heathcliff S.; Breuer, Lutz

doi:10.1007/s11104-018-3693-7

Cited by 39 publications

(62 citation statements)

References 80 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An enhanced understanding of these processes would open the path to improve physically based modeling approaches of actual and future water fluxes of different ecohydrological compartments (Rothfuss and Javaux, 2017). Furthermore, it could help to develop management and conservation strategies to sustain water resources as well as augment eco-and agricultural system resilience (Mahindawansha et al, 2018;Penna et al, 2018). In particular, the management and conservation of grasslands are of economic and ecological interest.…”

Section: Introductionmentioning

confidence: 99%

Water Stable Isotopes in Ecohydrological Field Research: Comparison Between In Situ and Destructive Monitoring Methods to Determine Soil Water Isotopic Signatures

et al. 2020

Self Cite

View full text Add to dashboard Cite

Ecohydrological isotope based field research is often constrained by a lack of temporally explicit soil water data, usually related to the choice of destructive sampling in the field and subsequent analysis in the laboratory. New techniques based on gas permeable membranes allow to sample soil water vapor in situ and infer soil liquid water isotopic signatures. Here, a membrane-based in situ soil water vapor sampling method was tested at a grassland site in Freiburg, Germany. It was further compared with two commonly used destructive sampling approaches for determination of soil liquid water isotopic signatures: cryogenic vacuum extraction and centrifugation. All methods were tested under semi-controlled field conditions, conducting an experiment with dry-wet cycling and two isotopically different labeling irrigation waters. We found mean absolute differences between cryogenic vacuum extraction and in situ vapor measurements of 0.3-14.2 (δ 18 O) and 0.4-152.2 (δ 2 H) for soil liquid water. The smallest differences were found under natural abundance conditions of 2 H and 18 O, the strongest differences were observed after irrigation with labeled waters. Labeling strongly increased the isotopic variation in soil water: Mean soil water isotopic signatures derived by cryogenic vacuum extraction were-11.6 ± 10.9 (δ 18 O) and +61.9 ± 266.3 (δ 2 H). The in situ soil water vapor method showed isotopic signatures of-12.5 ± 9.4 (δ 18 O) and +169.3 ± 261.5 (δ 2 H). Centrifugation was unsuccessful for soil samples due to low water recovery rates. It is therefore not recommended. Our study highlights that the in situ soil water vapor method captures the temporal dynamics in the isotopic signature of soil water well while the destructive approach also includes the natural lateral isotopic heterogeneity. The different advantages and limitations of the three methods regarding

show abstract

Section: Introductionmentioning

confidence: 99%

Water Stable Isotopes in Ecohydrological Field Research: Comparison Between In Situ and Destructive Monitoring Methods to Determine Soil Water Isotopic Signatures

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…The RWU is principally driven by transpiration flux and it is important to partition evapotranspiration into plant transpiration (T) and soil evaporation (E) for saving water in agricultural ecosystems [3,4]. The RWU varies with different irrigation and fertilization practices and it provides insights into the planning wetting soil layer for irrigated crops [5,6]. Despite its substantial importance, quantification of RWU still remains difficult due to limited technology to accurately quantify root water uptake, as well as the spatial and temporal variability of the uptake process [7].…”

Section: Introductionmentioning

confidence: 99%

“…Water stable isotopes were used to determine the main water uptake depth and proportional contribution of soil water to maize or wheat at different growth stages in a single growing season [3,14,19,20]. However, the distinct atmosphere evaporative demand and precipitation distribution in different seasons caused significant variability in water availability for crop water use [6,13]. Furthermore, previous studies were usually performed to quantify RWU under conventional irrigation and rain-fed conditions.…”

mentioning

confidence: 99%

“…Crops mainly took up water from shallow soil layers (0-50 cm) and a large proportion of irrigation and rainwater could not be utilized and percolated into deep layers under traditional irrigation depth (100 cm) in normal years [3,14,20]. Nevertheless, deep soil water contribution increased significantly under drought stress condition [6]. Therefore, the seasonal variation in RWU under different irrigation scenarios needs further quantification.…”

mentioning

confidence: 99%

“…The water stable isotopic technique provides a unique way to tackle the difficulty of disentangling actual RWU profiles with root characteristics [7]. In general, water uptake proportions are positively correlated with root length or dry root weight density for crops (summer maize, rice, and winter wheat) [6,13,20]. Nevertheless, a negative relationship was found between the RWU rate and root length for wheat grown in compacted soils [21].…”

mentioning

confidence: 99%

See 2 more Smart Citations

Seasonal Variations in Water Uptake Patterns of Winter Wheat under Different Irrigation and Fertilization Treatments

Song

2018

Water

View full text Add to dashboard Cite

Irrigation and fertilization both affect the water cycle in agricultural ecosystems. It is difficult to quantify root water uptake (RWU) which varies with crop development and seasons. In this study, a Bayesian mixing model (MixSIAR) coupling with dual stable isotopes (D and 18 O) was used to quantify RWU patterns for winter wheat under different irrigation and fertilization treatments between 2014 and 2015 in Beijing, China. The main RWU depth during the greening-jointing, jointing-heading, heading-filling, and filling-harvest stages was 0-20 cm, 20-70 cm, 0-20 cm, and 20-70 cm, respectively, which showed water uptake proportions of 67.0%, 42.0%, 38.7%, and 34.9%, respectively. Significant differences in RWU patterns appeared between the 2014 and 2015 seasons. The main RWU depth increased gradually from 0-20 cm at the greening-jointing stage to 20-70 cm at the jointing-heading stage and 70-150 cm during the heading to harvest period in 2014. However, winter wheat primarily took up soil water from the 0-70 cm layer in 2015. The average water uptake proportion in the top layer (0-20 cm) in 2015 (42.6%) was remarkably higher than that in 2014 (28.7%). There was a significantly negative relationship (p < 0.01) between the water uptake proportion and the proportion of root length at the filling-harvest stage in 2014, while no significant correlation (p > 0.05) was found in 2015. Variable distributions of root characteristics and soil moisture induced by different irrigation and fertilization comprehensively affected the RWU profile, particularly under severe drought environments in 2015. Treatments with fertilization of 105 kg hm −2 N or irrigation of 20 mm during the greening-jointing stage significantly promoted water uptake contribution in the 70-150 cm (32.2%) and 150-200 cm (23.5%) layers at the jointing-heading stage in 2015, while other treatments had a shallow dominant RWU depth (0-20 cm). The planned wetting layer should be kept within the main RWU depth of 0-70 cm for improving irrigation water use efficiency.Since RWU generally does not lead to isotopic fractionation or the magnitude of fractionation is too low to be observable for the majority of plant species, stable isotopic analysis is a powerful and valuable tool to identify and quantify RWU via the measurements of δD and δ 18 O abundance in waters [7,8]. Widely used methods to determine RWU patterns include the IsoSource [9] and Bayesian mixing models (e.g., SIAR [10], MixSIR [11], and MixSIAR [12]). In comparison, the Bayesian mixing models are particularly efficient in the case of multiple layers for illustrating the interest of reaching the best vertical resolution and maximizing the number of identified potential sources [7]. The MixSIAR model incorporates advances in MixSIR and SIAR that considers multiple sources of uncertainty and provides potential proportions of source contributions [12]. The MixSIAR model has been employed successfully to determine the contributions of soil water at different layers to the water uptake of field crops and na...

show abstract

A process‐based water stable isotope mixing model for plant water sourcing

Neil,

Fu,

2024

Ecohydrology

View full text Add to dashboard Cite

Stable isotopes of hydrogen and oxygen in water are common tools for investigating water uptake apportionment, but many of the existing methods rely on simple linear mixing approaches that do not mechanistically incorporate additional information about site physical properties and conditions. Here, we develop a ‘physically based root water uptake isotope mixing estimation’ model (PRIME) that combines a continuous and parametric probability density function for root water uptake with site physical data in a process‐based linear mixing framework. To demonstrate the application of PRIME, water uptake patterns of boreal forest Pinus banksiana trees were estimated on four dates in 2019. To aid in validation, estimates were compared with that of the Bayesian linear mixing model framework, MixSIAR. The two approaches provided similar results, but due to its continuous and parametric nature, PRIME provided estimates of superior resolution, certainty, and model parsimony. Although both models incorporate additional physical information into their mixing frameworks, PRIME does so in a mechanistic manner, thereby reflecting the relevant hydrological processes more effectively than the purely empirical approach taken by MixSIAR. Furthermore, because PRIME uses a continuous function to describe the predicted uptake pattern, it allows users to quantify water uptake with essentially infinite resolution, through integration over the desired depth ranges. These findings demonstrate the advantages of utilizing a continuous, parametric, and process‐based mixing model to estimate root water uptake apportionment, thus providing a relatively simple yet powerful tool with which to approach plant water sourcing.

show abstract

Quantification of plant water uptake by water stable isotopes in rice paddy systems

Cited by 39 publications

References 80 publications

Water Stable Isotopes in Ecohydrological Field Research: Comparison Between In Situ and Destructive Monitoring Methods to Determine Soil Water Isotopic Signatures

Water Stable Isotopes in Ecohydrological Field Research: Comparison Between In Situ and Destructive Monitoring Methods to Determine Soil Water Isotopic Signatures

Seasonal Variations in Water Uptake Patterns of Winter Wheat under Different Irrigation and Fertilization Treatments

A process‐based water stable isotope mixing model for plant water sourcing

Contact Info

Product

Resources

About