Articles | Volume 26, issue 15
https://doi.org/10.5194/hess-26-4093-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-4093-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Aug 2022
Research article |
| 05 Aug 2022
| 05 Aug 2022
Precipitation fate and transport in a Mediterranean catchment through models calibrated on plant and stream water isotope data
Matthias Sprenger
Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain
Ecohydrology & Watershed Science group, North Carolina State University, Raleigh, USA
now at: Earth & Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, USA
Pilar Llorens
CORRESPONDING AUTHOR
Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain
Francesc Gallart
Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain
Paolo Benettin
Laboratory of Ecohydrology ENAC/IIE/ECHO, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Scott T. Allen
Department of Natural Resources and Environmental Science, University of Nevada, Reno, USA
Jérôme Latron
Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain
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Cited articles
Ala-aho, P., Tetzlaff, D., McNamara, J. P., Laudon, H., and Soulsby, C.: Using isotopes to constrain water flux and age estimates in snow-influenced catchments using the STARR (Spatially distributed Tracer-Aided Rainfall–Runoff) model, Hydrol. Earth Syst. Sci., 21, 5089–5110, https://doi.org/10.5194/hess-21-5089-2017, 2017.
Allen, S. T., Kirchner, J. W., Braun, S., Siegwolf, R. T. W., and Goldsmith, G. R.: Seasonal origins of soil water used by trees, Hydrol. Earth Syst. Sci., 23, 1199–1210, https://doi.org/10.5194/hess-23-1199-2019, 2019.
Asenjan, M. R. and Danesh-Yazdi, M.: The effect of seasonal variation in precipitation and evapotranspiration on the transient travel time distributions, Adv. Water Resour., 142, 103618, https://doi.org/10.1016/j.advwatres.2020.103618, 2020.
Benettin, P. and Bertuzzo, E.: tran-SAS v1.0 (1.0), Zenodo [code], https://doi.org/10.5281/zenodo.1203600, 2018a.
Benettin, P. and Bertuzzo, E.: tran-SAS v1.0: a numerical model to compute catchment-scale hydrologic transport using StorAge Selection functions, Geosci. Model Dev., 11, 1627–1639, https://doi.org/10.5194/gmd-11-1627-2018, 2018b.
Benettin, P., Soulsby, C., Birkel, C., Tetzlaff, D., Botter, G., and Rinaldo, A.: Using SAS functions and high-resolution isotope data to unravel travel time distributions in headwater catchments, Water Resour. Res., 53, 1864–1878, https://doi.org/10.1002/2016WR020117, 2017.
Benettin, P., Volkmann, T. H. M., von Freyberg, J., Frentress, J., Penna, D., Dawson, T. E., and Kirchner, J. W.: Effects of climatic seasonality on the isotopic composition of evaporating soil waters, Hydrol. Earth Syst. Sci., 22, 2881–2890, https://doi.org/10.5194/hess-22-2881-2018, 2018.
Benettin, P., Fovet, O., and Li, L.: Nitrate removal and young streamwater fractions at the catchment scale, Hydrol. Process., 34, 2725–2738, https://doi.org/10.1002/hyp.13781, 2020.
Berghuijs, W. R. and Allen, S. T.: Waters flowing out of systems are younger than the waters stored in those same systems, Hydrol. Process., 33, 3251–3254, https://doi.org/10.1002/hyp.13569, 2019.
Beven, K. and Binley, A.: The future of distributed models: Model calibration and uncertainty prediction, Hydrol. Process., 6, 279–298, https://doi.org/10.1002/hyp.3360060305, 1992.
Beven, K. and Germann, P.: Macropores and water flow in soils revisited, Water Resour. Res., 49, 3071–3092, https://doi.org/10.1002/wrcr.20156, 2013.
Botter, G., Bertuzzo, E., and Rinaldo, A.: Catchment residence and travel time distributions, Geophys. Res. Lett., 38, L11403, https://doi.org/10.1029/2011gl047666, 2011.
Brinkmann, N., Seeger, S., Weiler, M., Buchmann, N., Eugster, W., and Kahmen, A.: Employing stable isotopes to determine the residence times of soil water and the temporal origin of water taken up by Fagus sylvatica and Picea abies in a temperate forest, New Phytol., 219, 1300–1313, https://doi.org/10.1111/nph.15255, 2018.
Brooks, J. R., Barnard, H. R., Coulombe, R., and McDonnell, J. J.: Ecohydrologic separation of water between trees and streams in a Mediterranean climate, Nat. Geosci., 3, 100–104, https://doi.org/10.1038/NGEO722, 2010.
Cayuela, C., Llorens, P., Sánchez-Costa, E., and Latron, J.: Modification of the isotopic composition of rainfall by throughfall and stemflow: The case of Scots pine and downy oak forests under Mediterranean conditions, Ecohydrology, 7, e2025, https://doi.org/10.1002/eco.2025, 2018.
Dubbert, M., Cuntz, M., Piayda, A., Maguás, C., and Werner, C.: Partitioning evapotranspiration – Testing the Craig and Gordon model with field measurements of oxygen isotope ratios of evaporative fluxes, J. Hydrol., 496, 142–153, https://doi.org/10.1016/j.jhydrol.2013.05.033, 2013.
Fang, Z., Carroll, R. W. H., Schumer, R., Harman, C., Wilusz, D., and Williams, K. H.: Streamflow partitioning and transit time distribution in snow-dominated basins as a function of climate, J. Hydrol., 570, 726–738, https://doi.org/10.1016/j.jhydrol.2019.01.029, 2019.
Gallart, F., Roig-Planasdemunt, M., Stewart, M. K., Llorens, P., Morgenstern, U., Stichler, W., Pfister, L., and Latron, J.: A GLUE-based uncertainty assessment framework for tritium-inferred transit time estimations under baseflow conditions, Hydrol. Process., 30, 4741–4760, https://doi.org/10.1002/hyp.10991, 2016.
Gallart, F., Valiente, M., Llorens, P., Cayuela, C., Sprenger, M., and Latron, J.: Investigating young water fractions in a small Mediterranean mountain catchment: both precipitation forcing and sampling frequency matter, Hydrol. Process., 34, 3618–3634, https://doi.org/10.1002/hyp.13806, 2020.
Gessler, A., Bächli, L., Freund, E. R., Treydte, K., Haeni, M., Weiler, M., Seeger, S., Marshall, J., Hug, C., Zweifel, R., Hagedorn, F., Rigling, A., Saurer, M., and Meusburger, K.: Drought reduces water uptake in beech from the drying topsoil, but no compensatory uptake occurs from deeper soil layers, New Phytol., 233, 194–206, https://doi.org/10.1111/nph.17767, 2022.
Goldsmith, G. R., Muñoz-Villers, L. E., Holwerda, F., McDonnell, J. J., Asbjornsen, H., and Dawson, T. E.: Stable isotopes reveal linkages among ecohydrological processes in a seasonally dry tropical montane cloud forest, Ecohydrology, 5, 779–790, https://doi.org/10.1002/eco.268, 2012.
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling, J. Hydrol., 377, 80–91, https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009.
Hargreaves, G. H. and Samani, Z. A.: Estimating potential evapotranspiration, J. Irrig. Drain. Div.-ASCE, 108, 225–230, 1982.
Harman, C. J.: Time-variable transit time distributions and transport: Theory and application to storage-dependent transport of chloride in a watershed, Water Resour. Res., 51, 1–30, https://doi.org/10.1002/2014WR015707, 2015.
Hartmann, A., Wagener, T., Rimmer, A., Lange, J., Brielmann, H., and Weiler, M.: Testing the realism of model structures to identify karst system processes using water quality and quantity signatures, Water Resour. Res., 49, 3345–3358, https://doi.org/10.1002/wrcr.20229, 2013.
Hervé-Fernández, P., Oyarzún, C., Brumbt, C., Huygens, D., Bodé, S., Verhoest, N. E. C., and Boeckx, P.: Assessing the “two water worlds” hypothesis and water sources for native and exotic evergreen species in south-central Chile, Hydrol. Process., 30, 4227–4241, https://doi.org/10.1002/hyp.10984, 2016.
Hrachowitz, M., Benettin, P., van Breukelen, B. M., Fovet, O., Howden, N. J. K., Ruiz, L., van der Velde, Y., and Wade, A. J.: Transit times – the link between hydrology and water quality at the catchment scale, WIREs Water, 3, 629–657, https://doi.org/10.1002/wat2.1155, 2016.
Kirchner, J. W.: Aggregation in environmental systems – Part 1: Seasonal tracer cycles quantify young water fractions, but not mean transit times, in spatially heterogeneous catchments, Hydrol. Earth Syst. Sci., 20, 279–297, https://doi.org/10.5194/hess-20-279-2016, 2016.
Kirchner, J. W.: EndSplit, EnviDat [code], https://doi.org/10.16904/envidat.91, 2019.
Kirchner, J. W. and Allen, S. T.: Seasonal partitioning of precipitation between streamflow and evapotranspiration, inferred from end-member splitting analysis, Hydrol. Earth Syst. Sci., 24, 17–39, https://doi.org/10.5194/hess-24-17-2020, 2020.
Kling, H., Fuchs, M., and Paulin, M.: Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios, J. Hydrol., 424–425, 264–277, https://doi.org/10.1016/j.jhydrol.2012.01.011, 2012.
Knighton, J., Souter-Kline, V., Volkman, T., Troch, P. A., Kim, M., Harman, C., Morris, C., Buchanan, B., and Walter, M. T.: Seasonal and Topographic Variations in Ecohydrological Separation Within a Small, Temperate, Snow-Influenced Catchment, Water Resour. Res., 55, 6417–6435, https://doi.org/10.1029/2019WR025174, 2019.
Knighton, J., Kuppel, S., Smith, A., Soulsby, C., Sprenger, M., and Tetzlaff, D.: Using Isotopes to Incorporate Tree Water Storage and Mixing Dynamics into a Distributed Ecohydrologic Modelling Framework, Ecohydrology, 13, e2201, https://doi.org/10.1002/eco.2201, 2020.
Kuppel, S., Tetzlaff, D., Maneta, M. P., and Soulsby, C.: EcH2O-iso 1.0: water isotopes and age tracking in a process-based, distributed ecohydrological model, Geosci. Model Dev., 11, 3045–3069, https://doi.org/10.5194/gmd-11-3045-2018, 2018.
Kuppel, S., Tetzlaff, D., Maneta, M. P., and Soulsby, C.: Critical Zone Storage Controls on the Water Ages of Ecohydrological Outputs Geophysical Research Letters, Geogr. Res. Lett., 47, e2020GL088897, https://doi.org/10.1029/2020GL088897, 2020.
Landgraf, J., Tetzlaff, D., Dubbert, M., Dubbert, D., Smith, A., and Soulsby, C.: Xylem water in riparian willow trees (Salix alba) reveals shallow sources of root water uptake by in situ monitoring of stable water isotopes, Hydrol. Earth Syst. Sci., 26, 2073–2092, https://doi.org/10.5194/hess-26-2073-2022, 2022.
Latron, J.: Estudio del funcionamiento hidrologico de una cuenca mediterranea de montana (Vallcebre, Pirineos Catalanes), Universitat de Barcelona, Barcelona, https://dialnet.unirioja.es/servlet/tesis?codigo=235272 (last access: 4 August 2022), 2003.
Latron, J. and Gallart, F.: Runoff generation processes in a small Mediterranean research catchment (Vallcebre, Eastern Pyrenees), J. Hydrol., 358, 206–220, https://doi.org/10.1016/j.jhydrol.2008.06.014, 2008.
Latron, J., Llorens, P., and Gallart, F.: The Hydrology of Mediterranean Mountain Areas, Geogr. Compass, 3, 2045–2064, https://doi.org/10.1111/j.1749-8198.2009.00287.x, 2009.
Llorens, P. and Gallart, F.: A simplified method for forest water storage capacity measurement, J. Hydrol., 240, 131–144, https://doi.org/10.1016/S0022-1694(00)00339-5, 2000.
Llorens, P., Poch, R., Latron, J., and Gallart, F.: Rainfall interception by a Pinus sylvestris forest patch overgrown in a Mediterranean mountainous abandoned area I. Monitoring design and results down to the event scale, J. Hydrol., 199, 331–345, https://doi.org/10.1016/S0022-1694(96)03334-3, 1997.
Llorens, P., Gallart, F., Cayuela, C., Roig-Planasdemunt, M., Casellas, E., Molina, A. J., Moreno de las Heras, M., Bertran, G., Sánchez-Costa, E., and Latron, J.: What have we learnt about mediterranean catchment hydrology? 30 years observing hydrological processes in the Vallcebre research catchments, Geogr. Res. Lett., 44, 475–502, https://doi.org/10.18172/cig.3432, 2018.
Marshall, J. D., Cuntz, M., Beyer, M., Dubbert, M., and Kuehnhammer, K.: Borehole Equilibration: Testing a New Method to Monitor the Isotopic Composition of Tree Xylem Water in situ, Front. Plant Sci., 11, 358, https://doi.org/10.3389/fpls.2020.00358, 2020.
Martín-Gómez, P., Barbeta, A., Voltas, J., Peñuelas, J., Dennis, K., Palacio, S., Dawson, T. E., and Ferrio, J. P.: Isotope-ratio infrared spectroscopy: a reliable tool for the investigation of plant-water sources?, New Phytol., 207, 914–927, https://doi.org/10.1111/nph.13376, 2015.
Maxwell, R. M., Condon, L. E., Danesh-Yazdi, M., and Bearup, L. A.: Exploring source water mixing and transient residence time distributions of outflow and evapotranspiration with an integrated hydrologic model and Lagrangian particle tracking approach, Ecohydrology, 12, e2042, https://doi.org/10.1002/eco.2042, 2019.
McGuire, K. J. and McDonnell, J. J.: A review and evaluation of catchment transit time modeling, J. Hydrol., 330, 543–563, https://doi.org/10.1016/j.jhydrol.2006.04.020, 2006.
McMillan, H., Tetzlaff, D., Clark, M., and Soulsby, C.: Do time-variable tracers aid the evaluation of hydrological model structure? A multimodel approach, Water Resour. Res., 48, W05501, https://doi.org/10.1029/2011WR011688, 2012.
Molina, A. J., Llorens, P., Garcia-Estringana, P., Moreno de las Heras, M., Cayuela, C., Gallart, F., and Latron, J.: Contributions of throughfall, forest and soil characteristics to near-surface soil water-content variability at the plot scale in a mountainous Mediterranean area, Sci. Total Environ., 647, 1421–1432, https://doi.org/10.1016/j.scitotenv.2018.08.020, 2019.
Payne, B. R.: Contribution of Isotope Techniques to the Study of Some Hydrological Problems, in: Isotope Techniques in the Hydrologic Cycle Geophysical Monograph Series no. 11, edited by: Stout, G. E., American Geophysical Union, 62–68, https://doi.org/10.1029/GM011p0062, 1967.
Poyatos, R., Martínez-Vilalta, J., Čermák, J., Ceulemans, R., Granier, A., Irvine, J., Köstner, B., Lagergren, F., Meiresonne, L., Nadezhdina, N., Zimmermann, R., Llorens, P., and Mencuccini, M.: Plasticity in Hydraulic Architecture of Scots Pine across Eurasia, Oecologia, 153, 245–259, https://doi.org/10.1007/s00442-007-0740-0, 2007.
Remondi, F., Kirchner, J. W., Burlando, P., and Fatichi, S.: Water Flux Tracking with A Distributed Hydrological Model to Quantify Controls on the Spatio-Temporal Variability of Transit Time Distributions, Water Resour. Res., 54, 3081–3099, https://doi.org/10.1002/2017WR021689, 2018.
Rodriguez, N. B. and Klaus, J.: Catchment Travel Times From Composite StorAge Selection Functions Representing the Superposition of Streamflow Generation Processes, Water Resour. Res., 75, 56, https://doi.org/10.1029/2019WR024973, 2019.
Rodriguez, N. B., Pfister, L., Zehe, E., and Klaus, J.: A comparison of catchment travel times and storage deduced from deuterium and tritium tracers using StorAge Selection functions, Hydrol. Earth Syst. Sci., 25, 401–428, https://doi.org/10.5194/hess-25-401-2021, 2021.
Seeger, S. and Weiler, M.: Temporal dynamics of tree xylem water isotopes: in situ monitoring and modeling, Biogeosciences, 18, 4603–4627, https://doi.org/10.5194/bg-18-4603-2021, 2021.
Smith, A., Welch, C., and Stadnyk, T.: Assessment of a lumped coupled flow-isotope model in data scarce Boreal catchments, Hydrol. Process., 30, 3871–3884, https://doi.org/10.1002/hyp.10835, 2016.
Son, K. and Sivapalan, M.: Improving model structure and reducing parameter uncertainty in conceptual water balance models through the use of auxiliary data, Water Resour. Res., 43, 219, https://doi.org/10.1029/2006WR005032, 2007.
Soulsby, C., Birkel, C., Geris, J., Dick, J., Tunaley, C., and Tetzlaff, D.: Stream water age distributions controlled by storage dynamics and nonlinear hydrologic connectivity, Water Resour. Res., 51, 7759–7776, https://doi.org/10.1002/2015WR017888, 2015.
Sprenger, M. and Allen, S. T.: What ecohydrologic separation is and where we can go with it, Water Resour. Res., 56, e2020WR027238, https://doi.org/10.1029/2020wr027238, 2020.
Sprenger, M., Tetzlaff, D., Buttle, J. M., Laudon, H., Leistert, H., Mitchell, C. P. J., Snelgrove, J., Weiler, M., and Soulsby, C.: Measuring and modelling stable isotopes of mobile and bulk soil water, Vadose Zone J., 17, 170149, https://doi.org/10.2136/VZJ2017.08.0149, 2018.
Sprenger, M., Llorens, P., Cayuela, C., Gallart, F., and Latron, J.: Mechanisms of consistently disjunct soil water pools over (pore) space and time, Hydrol. Earth Syst. Sci., 23, 2751–2762, https://doi.org/10.5194/hess-23-2751-2019, 2019a.
Sprenger, M., Stumpp, C., Weiler, M., Aeschbach, W., Allen, S. T., Benettin, P., Dubbert, M., Hartmann, A., Hrachowitz, M., Kirchner, J. W., McDonnell, J. J., Orlowski, N., Penna, D., Pfahl, S., Rinderer, M., Rodriguez, N., Schmidt, M., and Werner, C.: The Demographics of Water: A Review of Water Ages in the Critical Zone, Rev. Geophys., 57, 800–834, https://doi.org/10.1029/2018RG000633, 2019b.
Sprenger, M., Llorens, P., Gallart, F., Allen, S. T., Benettin, P., and Latron, J.: [Dataset] Precipitation fate and transport in a Mediterranean catchment through models calibrated on plant and stream water isotope, CSIC [data set], http://hdl.handle.net/10261/275586, last access: 25 July 2022.
Stadnyk, T. A. and Holmes, T. L.: On the value of isotope-enabled hydrological model calibration, Hydrolog. Sci. J., 65, 1525–1538, https://doi.org/10.1080/02626667.2020.1751847, 2020.
Stevenson, J. L., Birkel, C., Neill, A. J., Tetzlaff, D., and Soulsby, C.: Effects of streamflow isotope sampling strategies on the calibration of a tracer-aided rainfall-runoff model, Hydrol. Process., 35, e14223, https://doi.org/10.1002/hyp.14223, 2021.
van der Velde, Y., Torfs, P. J. J. F., van der Zee, S. E. A. T. M., and Uijlenhoet, R.: Quantifying catchment-scale mixing and its effect on time-varying travel time distributions, Water Resour. Res., 48, W06536, https://doi.org/10.1029/2011WR011310, 2012.
van der Velde, Y., Heidbüchel, I., Lyon, S. W., Nyberg, L., Rodhe, A., Bishop, K., and Troch, P. A.: Consequences of mixing assumptions for time-variable travel time distributions, Hydrol. Process., 29, 3460–3474, https://doi.org/10.1002/hyp.10372, 2015.
Visser, A., Thaw, M., Deinhart, A., Bibby, R., Safeeq, M., Conklin, M., Esser, B., and van der Velde, Y.: Cosmogenic Isotopes Unravel the Hydrochronology and Water Storage Dynamics of the Southern Sierra Critical Zone, Water Resour. Res., 55, 1429–1450, https://doi.org/10.1029/2018WR023665, 2019.
Volkmann, T. H. M., Kuhnhammer, K., Herbstritt, B., Gessler, A., and Weiler, M.: A method for in situ monitoring of the isotope composition of tree xylem water using laser spectroscopy, Plant Cell Environ., 39, 2055–2063, https://doi.org/10.1111/pce.12725, 2016.
Wang, L., Caylor, K. K., Villegas, J. C., Barron-Gafford, G. A., Breshears, D. D., and Huxman, T. E.: Partitioning evapotranspiration across gradients of woody plant cover: Assessment of a stable isotope technique, Geophys. Res. Lett., 37, L09401, https://doi.org/10.1029/2010GL043228, 2010.
Wilusz, D. C., Harman, C. J., Ball, W. P., Maxwell, R. M., and Buda, A. R.: Using Particle Tracking to Understand Flow Paths, Age Distributions, and the Paradoxical Origins of the Inverse Storage Effect in an Experimental Catchment, Water Resour. Res., 56, e2019WR025140, https://doi.org/10.1029/2019WR025140, 2020.
Yang, J., Heidbüchel, I., Musolff, A., Reinstorf, F., and Fleckenstein, J. H.: Exploring the Dynamics of Transit Times and Subsurface Mixing in a Small Agricultural Catchment, Water Resour. Res., 54, 2317–2335, https://doi.org/10.1002/2017WR021896, 2018.
Zhao, P., Tang, X., Zhao, P., and Tang, J.: Temporal partitioning of water between plants and hillslope flow in a subtropical climate, CATENA, 165, 133–144, https://doi.org/10.1016/j.catena.2018.01.031, 2018.
Zimmermann, U., Ehhalt, D., and Münnich, K. O.: Soil-water movement and evapotranspiration: Changes in the isotopic composition of the water, in: Isotopes in hydrology, edited by: IAEA, International Atomic Energy Agency, Vienna, 567–585, https://inis.iaea.org/search/search.aspx?orig_q=RN:38061083 (last access: 4 August 2022), 1967.
Short summary
Our catchment-scale transit time modeling study shows that including stable isotope data on evapotranspiration in addition to the commonly used stream water isotopes helps constrain the model parametrization and reveals that the water taken up by plants has resided longer in the catchment storage than the water leaving the catchment as stream discharge. This finding is important for our understanding of how water is stored and released, which impacts the water availability for plants and humans.
Our catchment-scale transit time modeling study shows that including stable isotope data on...
