globalchange  > 气候变化与战略
DOI: 10.5194/hess-24-3057-2020
论文题名:
Disentangling temporal and population variability in plant root water uptake from stable isotopic analysis: when rooting depth matters in labeling studies
作者: Couvreur V.; Rothfuss Y.; Meunier F.; Bariac T.; Biron P.; Durand J.-L.; Richard P.; Javaux M.; Javaux M.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期:6
起始页码: 3057
结束页码: 3075
语种: 英语
Scopus关键词: Flow of water ; Isotopes ; Oxygen ; Plants (botany) ; Sensitivity analysis ; Soil moisture ; Transpiration ; Uncertainty analysis ; Bayesian statistical model ; Hydraulic variables ; Isotopic composition ; Isotopic labeling techniques ; Leaf water potential ; Oxygen isotopic composition ; Population variability ; Spatial heterogeneity ; Soil surveys ; hydrodynamics ; isotopic composition ; plant water relations ; relative humidity ; soil water ; stable isotope ; temporal variation ; transpiration ; water uptake ; Festuca arundinacea ; Rubus moluccanus
英文摘要: Isotopic labeling techniques have the potential to minimize the uncertainty of plant root water uptake (RWU) profiles estimated using multisource (statistical) modeling by artificially enhancing the soil water isotopic gradient. On the other end of the modeling continuum, physical models can account for hydrodynamic constraints to RWU if simultaneous soil and plant water status data are available. In this study, a population of tall fescue (Festuca arundinacea cv. Soni) was grown in amacro-rhizotron and monitored for a 34 h long period following the oxygen stable isotopic (18O) labeling of deep soil water. Aboveground variables included tiller and leaf water oxygen isotopic compositions (δtiller and δleaf, respectively) as well as leaf water potential (ψleaf), relative humidity, and transpiration rate. Belowground profiles of root length density (RLD), soil water content, and isotopic composition were also sampled. While there were strong correlations between hydraulic variables as well as between isotopic variables, the experimental results underlined the partial disconnect between the temporal dynamics of hydraulic and isotopic variables. In order to dissect the problem, we reproduced both types of observations with a one-dimensional physical model of water flow in the soil-plant domain for 60 different realistic RLD profiles. While simulated ψleaf followed clear temporal variations with small differences across plants, as if they were "onboard the same roller coaster", simulated δtiller values within the plant population were rather heterogeneous ("swarm-like") with relatively little temporal variation and a strong sensitivity to rooting depth. Thus, the physical model explained the discrepancy between isotopic and hydraulic observations: the variability captured by δtiller reflected the spatial heterogeneity in the rooting depth in the soil region influenced by the labeling and may not correlate with the temporal dynamics of ψleaf. In other words, ψleaf varied in time with transpiration rate, while δtiller varied across plants with rooting depth. For comparison purposes, a Bayesian statistical model was also used to simulate RWU. While it predicted relatively similar cumulative RWU profiles, the physical model could differentiate the spatial from the temporal dynamics of the isotopic composition. An important difference between the two types of RWU models was the ability of the physical model to simulate the occurrence of hydraulic lift in order to explain concomitant increases in the soil water content and the isotopic composition observed overnight above the soil labeling region. © 2020 Copernicus GmbH. All rights reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162666
Appears in Collections:气候变化与战略

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作者单位: Couvreur, V., Earth and Life Institute (ELI), Université catholique de Louvain (UCLouvain), Louvain-la-Neuve, 1348, Belgium; Rothfuss, Y., Institute of Bio- and Geosciences, IBG-3 Agrosphere, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany; Meunier, F., CAVElab - Computational and Applied Vegetation Ecology, Faculty of Bioscience Engineering, Ghent University, Campus Coupure, Coupure Links 653, Gent, 9000, Belgium; Bariac, T., Institute of Ecology and Environmental Sciences (IEES) - Paris, UMR 7618, CNRS, Sorbonne Université, Campus AgroParisTech, Thiverval-Grignon, 78850, France; Biron, P., Institute of Ecology and Environmental Sciences (IEES) - Paris, UMR 7618, CNRS, Sorbonne Université, Campus AgroParisTech, Thiverval-Grignon, 78850, France; Durand, J.-L., Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères (UR P3F), Institut National de la Recherche Agronomique (INRA), Lusignan, 86600, France; Richard, P., Institute of Ecology and Environmental Sciences (IEES) - Paris, UMR 7618, CNRS, Sorbonne Université, Campus AgroParisTech, Thiverval-Grignon, 78850, France; Javaux, M., Earth and Life Institute (ELI), Université catholique de Louvain (UCLouvain), Louvain-la-Neuve, 1348, Belgium; Javaux, M., Institute of Bio- and Geosciences, IBG-3 Agrosphere, Forschungszentrum Jülich GmbH, Jülich, 52425, Germany

Recommended Citation:
Couvreur V.,Rothfuss Y.,Meunier F.,et al. Disentangling temporal and population variability in plant root water uptake from stable isotopic analysis: when rooting depth matters in labeling studies[J]. Hydrology and Earth System Sciences,2020-01-01,24(6)
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