The <sup>18</sup>O ecohydrology of a grassland ecosystem – predictions and observations

<p>The oxygen isotope composition (<span class="inline-formula"><i>δ</i><sup>18</sup>O</span>) of leaf water (<span class="inline-formula"><i>δ</i><sup>18</sup>O</span><span class="inline-formul...

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Main Authors: R. T. Hirl, H. Schnyder, U. Ostler, R. Schäufele, I. Schleip, S. H. Vetter, K. Auerswald, J. C. Baca Cabrera, L. Wingate, M. M. Barbour, J. Ogée
Format: Article
Language:English
Published: Copernicus Publications 2019-06-01
Series:Hydrology and Earth System Sciences
Online Access:https://www.hydrol-earth-syst-sci.net/23/2581/2019/hess-23-2581-2019.pdf
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author R. T. Hirl
R. T. Hirl
H. Schnyder
U. Ostler
R. Schäufele
I. Schleip
I. Schleip
S. H. Vetter
K. Auerswald
J. C. Baca Cabrera
L. Wingate
M. M. Barbour
J. Ogée
author_facet R. T. Hirl
R. T. Hirl
H. Schnyder
U. Ostler
R. Schäufele
I. Schleip
I. Schleip
S. H. Vetter
K. Auerswald
J. C. Baca Cabrera
L. Wingate
M. M. Barbour
J. Ogée
author_sort R. T. Hirl
collection DOAJ
description <p>The oxygen isotope composition (<span class="inline-formula"><i>δ</i><sup>18</sup>O</span>) of leaf water (<span class="inline-formula"><i>δ</i><sup>18</sup>O</span><span class="inline-formula"><sub>leaf</sub></span>) is an important determinant of environmental and physiological information found in biological archives, but the system-scale understanding of the propagation of the <span class="inline-formula"><i>δ</i><sup>18</sup>O</span> of rain through soil and xylem water to <span class="inline-formula"><i>δ</i><sup>18</sup>O</span><span class="inline-formula"><sub>leaf</sub></span> has not been verified for grassland. Here we report a unique and comprehensive dataset of fortnightly <span class="inline-formula"><i>δ</i><sup>18</sup>O</span> observations in soil, stem and leaf waters made over seven growing seasons in a temperate, drought-prone, mixed-species grassland. Using the ecohydrology part of a physically based, <span class="inline-formula"><sup>18</sup>O</span>-enabled soil–plant–atmosphere transfer model (MuSICA), we evaluated our ability to predict the dynamics of <span class="inline-formula"><i>δ</i><sup>18</sup>O</span> in soil water, the depth of water uptake, and the effects of soil and atmospheric moisture on <span class="inline-formula"><sup>18</sup></span>O enrichment of leaf water (<span class="inline-formula">Δ<sup>18</sup>O</span><span class="inline-formula"><sub>leaf</sub></span>) in this ecosystem. The model accurately predicted the <span class="inline-formula"><i>δ</i><sup>18</sup>O</span> dynamics of the different ecosystem water pools, suggesting that the model generated realistic predictions of the vertical distribution of soil water and root water uptake dynamics. Observations and model predictions indicated that water uptake occurred predominantly from shallow (<span class="inline-formula"><i>&lt;</i>20</span>&thinsp;cm) soil depths throughout dry and wet periods in all years, presumably due (at least in part) to the effects of high grazing pressure on root system turnover and placement. <span class="inline-formula">Δ<sup>18</sup>O</span><span class="inline-formula"><sub>leaf</sub></span> responded to both soil and atmospheric moisture contents and was best described in terms of constant proportions of unenriched and evaporatively enriched water (two-pool model). The good agreement between model predictions and observations is remarkable as model parameters describing the relevant physical features or functional relationships of soil and vegetation were held constant with one single value for the entire mixed-species ecosystem.</p>
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spelling doaj.art-f0cfd436ab90483b86933a5644b2d85a2022-12-22T01:18:03ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382019-06-01232581260010.5194/hess-23-2581-2019The <sup>18</sup>O ecohydrology of a grassland ecosystem – predictions and observationsR. T. Hirl0R. T. Hirl1H. Schnyder2U. Ostler3R. Schäufele4I. Schleip5I. Schleip6S. H. Vetter7K. Auerswald8J. C. Baca Cabrera9L. Wingate10M. M. Barbour11J. Ogée12Lehrstuhl für Grünlandlehre, Technische Universität München, 85354 Freising, GermanyUMR ISPA, INRA, 33140 Villenave d'Ornon, FranceLehrstuhl für Grünlandlehre, Technische Universität München, 85354 Freising, GermanyLehrstuhl für Grünlandlehre, Technische Universität München, 85354 Freising, GermanyLehrstuhl für Grünlandlehre, Technische Universität München, 85354 Freising, GermanyLehrstuhl für Grünlandlehre, Technische Universität München, 85354 Freising, GermanyNachhaltige Grünlandnutzungssysteme und Grünlandökologie, Hochschule für nachhaltige Entwicklung Eberswalde, 16225 Eberswalde, GermanyInstitute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen AB24 3UU, UKLehrstuhl für Grünlandlehre, Technische Universität München, 85354 Freising, GermanyLehrstuhl für Grünlandlehre, Technische Universität München, 85354 Freising, GermanyUMR ISPA, INRA, 33140 Villenave d'Ornon, FranceSydney Institute of Agriculture, The University of Sydney, NSW 2570, Sydney, AustraliaUMR ISPA, INRA, 33140 Villenave d'Ornon, France<p>The oxygen isotope composition (<span class="inline-formula"><i>δ</i><sup>18</sup>O</span>) of leaf water (<span class="inline-formula"><i>δ</i><sup>18</sup>O</span><span class="inline-formula"><sub>leaf</sub></span>) is an important determinant of environmental and physiological information found in biological archives, but the system-scale understanding of the propagation of the <span class="inline-formula"><i>δ</i><sup>18</sup>O</span> of rain through soil and xylem water to <span class="inline-formula"><i>δ</i><sup>18</sup>O</span><span class="inline-formula"><sub>leaf</sub></span> has not been verified for grassland. Here we report a unique and comprehensive dataset of fortnightly <span class="inline-formula"><i>δ</i><sup>18</sup>O</span> observations in soil, stem and leaf waters made over seven growing seasons in a temperate, drought-prone, mixed-species grassland. Using the ecohydrology part of a physically based, <span class="inline-formula"><sup>18</sup>O</span>-enabled soil–plant–atmosphere transfer model (MuSICA), we evaluated our ability to predict the dynamics of <span class="inline-formula"><i>δ</i><sup>18</sup>O</span> in soil water, the depth of water uptake, and the effects of soil and atmospheric moisture on <span class="inline-formula"><sup>18</sup></span>O enrichment of leaf water (<span class="inline-formula">Δ<sup>18</sup>O</span><span class="inline-formula"><sub>leaf</sub></span>) in this ecosystem. The model accurately predicted the <span class="inline-formula"><i>δ</i><sup>18</sup>O</span> dynamics of the different ecosystem water pools, suggesting that the model generated realistic predictions of the vertical distribution of soil water and root water uptake dynamics. Observations and model predictions indicated that water uptake occurred predominantly from shallow (<span class="inline-formula"><i>&lt;</i>20</span>&thinsp;cm) soil depths throughout dry and wet periods in all years, presumably due (at least in part) to the effects of high grazing pressure on root system turnover and placement. <span class="inline-formula">Δ<sup>18</sup>O</span><span class="inline-formula"><sub>leaf</sub></span> responded to both soil and atmospheric moisture contents and was best described in terms of constant proportions of unenriched and evaporatively enriched water (two-pool model). The good agreement between model predictions and observations is remarkable as model parameters describing the relevant physical features or functional relationships of soil and vegetation were held constant with one single value for the entire mixed-species ecosystem.</p>https://www.hydrol-earth-syst-sci.net/23/2581/2019/hess-23-2581-2019.pdf
spellingShingle R. T. Hirl
R. T. Hirl
H. Schnyder
U. Ostler
R. Schäufele
I. Schleip
I. Schleip
S. H. Vetter
K. Auerswald
J. C. Baca Cabrera
L. Wingate
M. M. Barbour
J. Ogée
The <sup>18</sup>O ecohydrology of a grassland ecosystem – predictions and observations
Hydrology and Earth System Sciences
title The <sup>18</sup>O ecohydrology of a grassland ecosystem – predictions and observations
title_full The <sup>18</sup>O ecohydrology of a grassland ecosystem – predictions and observations
title_fullStr The <sup>18</sup>O ecohydrology of a grassland ecosystem – predictions and observations
title_full_unstemmed The <sup>18</sup>O ecohydrology of a grassland ecosystem – predictions and observations
title_short The <sup>18</sup>O ecohydrology of a grassland ecosystem – predictions and observations
title_sort sup 18 sup o ecohydrology of a grassland ecosystem predictions and observations
url https://www.hydrol-earth-syst-sci.net/23/2581/2019/hess-23-2581-2019.pdf
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