Articles | Volume 26, issue 8
https://doi.org/10.5194/hess-26-2277-2022
© 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-26-2277-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 May 2022
Research article |
| 02 May 2022
| 02 May 2022
Coupled modelling of hydrological processes and grassland production in two contrasting climates
Soil and Environment, Swedish University of Agricultural Sciences, Uppsala, Sweden
Jannis Groh
Agrosphere (IBG-3), Institute of Bio- and Geoscience, Forschungszentrum Jülich GmbH, Jülich, Germany
Research Area 1 “Landscape Functioning”, Working Group “Hydropedology”, Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
Elisabet Lewan
Soil and Environment, Swedish University of Agricultural Sciences, Uppsala, Sweden
Katharina H. E. Meurer
Soil and Environment, Swedish University of Agricultural Sciences, Uppsala, Sweden
Walter Durka
Department of Community Ecology (BZF), Helmholtz Centre for Environmental Research (UFZ), Halle, Germany
Cornelia Baessler
Department of Community Ecology (BZF), Helmholtz Centre for Environmental Research (UFZ), Halle, Germany
Thomas Pütz
Agrosphere (IBG-3), Institute of Bio- and Geoscience, Forschungszentrum Jülich GmbH, Jülich, Germany
Elvin Rufullayev
Soil and Environment, Swedish University of Agricultural Sciences, Uppsala, Sweden
Harry Vereecken
Agrosphere (IBG-3), Institute of Bio- and Geoscience, Forschungszentrum Jülich GmbH, Jülich, Germany
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Tobias Schnepper, Jannis Groh, Horst H. Gerke, Barbara Reichert, and Thomas Pütz
Hydrol. Earth Syst. Sci., 27, 3265–3292, https://doi.org/10.5194/hess-27-3265-2023, https://doi.org/10.5194/hess-27-3265-2023, 2023
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Theresa Boas, Heye Reemt Bogena, Dongryeol Ryu, Harry Vereecken, Andrew Western, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 27, 3143–3167, https://doi.org/10.5194/hess-27-3143-2023, https://doi.org/10.5194/hess-27-3143-2023, 2023
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Guillaume Blanchy, Lukas Albrecht, Gilberto Bragato, Sarah Garré, Nicholas Jarvis, and John Koestel
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Jordan Bates, Francois Jonard, Rajina Bajracharya, Harry Vereecken, and Carsten Montzka
AGILE GIScience Ser., 3, 23, https://doi.org/10.5194/agile-giss-3-23-2022, https://doi.org/10.5194/agile-giss-3-23-2022, 2022
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Earth Syst. Sci. Data, 14, 2501–2519, https://doi.org/10.5194/essd-14-2501-2022, https://doi.org/10.5194/essd-14-2501-2022, 2022
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Monitoring of increasingly frequent droughts is a prerequisite for climate adaptation strategies. This data paper presents long-term soil moisture measurements recorded by 66 cosmic-ray neutron sensors (CRNS) operated by 24 institutions and distributed across major climate zones in Europe. Data processing followed harmonized protocols and state-of-the-art methods to generate consistent and comparable soil moisture products and to facilitate continental-scale analysis of hydrological extremes.
Lukas Strebel, Heye R. Bogena, Harry Vereecken, and Harrie-Jan Hendricks Franssen
Geosci. Model Dev., 15, 395–411, https://doi.org/10.5194/gmd-15-395-2022, https://doi.org/10.5194/gmd-15-395-2022, 2022
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We present the technical coupling between a land surface model (CLM5) and the Parallel Data Assimilation Framework (PDAF). This coupling enables measurement data to update simulated model states and parameters in a statistically optimal way. We demonstrate the viability of the model framework using an application in a forested catchment where the inclusion of soil water measurements significantly improved the simulation quality.
Veronika Forstner, Jannis Groh, Matevz Vremec, Markus Herndl, Harry Vereecken, Horst H. Gerke, Steffen Birk, and Thomas Pütz
Hydrol. Earth Syst. Sci., 25, 6087–6106, https://doi.org/10.5194/hess-25-6087-2021, https://doi.org/10.5194/hess-25-6087-2021, 2021
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Lysimeter-based manipulative and observational experiments were used to identify responses of water fluxes and aboveground biomass (AGB) to climatic change in permanent grassland. Under energy-limited conditions, elevated temperature actual evapotranspiration (ETa) increased, while seepage, dew, and AGB decreased. Elevated CO2 mitigated the effect on ETa. Under water limitation, elevated temperature resulted in reduced ETa, and AGB was negatively correlated with an increasing aridity.
Yafei Huang, Jonas Weis, Harry Vereecken, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-569, https://doi.org/10.5194/hess-2021-569, 2021
Manuscript not accepted for further review
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Trends in agricultural droughts cannot be easily deduced from measurements. Here trends in agricultural droughts over 31 German and Dutch sites were calculated with model simulations and long-term observed meteorological data as input. We found that agricultural droughts are increasing although precipitation hardly decreases. The increase is driven by increase in evapotranspiration. The year 2018 was for half of the sites the year with the most extreme agricultural drought in the last 55 years.
Bernd Schalge, Gabriele Baroni, Barbara Haese, Daniel Erdal, Gernot Geppert, Pablo Saavedra, Vincent Haefliger, Harry Vereecken, Sabine Attinger, Harald Kunstmann, Olaf A. Cirpka, Felix Ament, Stefan Kollet, Insa Neuweiler, Harrie-Jan Hendricks Franssen, and Clemens Simmer
Earth Syst. Sci. Data, 13, 4437–4464, https://doi.org/10.5194/essd-13-4437-2021, https://doi.org/10.5194/essd-13-4437-2021, 2021
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In this study, a 9-year simulation of complete model output of a coupled atmosphere–land-surface–subsurface model on the catchment scale is discussed. We used the Neckar catchment in SW Germany as the basis of this simulation. Since the dataset includes the full model output, it is not only possible to investigate model behavior and interactions between the component models but also use it as a virtual truth for comparison of, for example, data assimilation experiments.
Jan Vanderborght, Valentin Couvreur, Felicien Meunier, Andrea Schnepf, Harry Vereecken, Martin Bouda, and Mathieu Javaux
Hydrol. Earth Syst. Sci., 25, 4835–4860, https://doi.org/10.5194/hess-25-4835-2021, https://doi.org/10.5194/hess-25-4835-2021, 2021
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Root water uptake is an important process in the terrestrial water cycle. How this process depends on soil water content, root distributions, and root properties is a soil–root hydraulic problem. We compare different approaches to implementing root hydraulics in macroscopic soil water flow and land surface models.
Youri Rothfuss, Maria Quade, Nicolas Brüggemann, Alexander Graf, Harry Vereecken, and Maren Dubbert
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The partitioning of evapotranspiration into evaporation from soil and transpiration from plants is crucial for a wide range of parties, from farmers to policymakers. In this work, we focus on a particular partitioning method, based on the stable isotopic analysis of water. In particular, we aim at highlighting the challenges that this method is currently facing and, in light of recent methodological developments, propose ways forward for the isotopic-partitioning community.
Cosimo Brogi, Johan A. Huisman, Lutz Weihermüller, Michael Herbst, and Harry Vereecken
SOIL, 7, 125–143, https://doi.org/10.5194/soil-7-125-2021, https://doi.org/10.5194/soil-7-125-2021, 2021
Short summary
Short summary
There is a need in agriculture for detailed soil maps that carry quantitative information. Geophysics-based soil maps have the potential to deliver such products, but their added value has not been fully investigated yet. In this study, we compare the use of a geophysics-based soil map with the use of two commonly available maps as input for crop growth simulations. The geophysics-based product results in better simulations, with improvements that depend on precipitation, soil, and crop type.
Theresa Boas, Heye Bogena, Thomas Grünwald, Bernard Heinesch, Dongryeol Ryu, Marius Schmidt, Harry Vereecken, Andrew Western, and Harrie-Jan Hendricks Franssen
Geosci. Model Dev., 14, 573–601, https://doi.org/10.5194/gmd-14-573-2021, https://doi.org/10.5194/gmd-14-573-2021, 2021
Short summary
Short summary
In this study we were able to significantly improve CLM5 model performance for European cropland sites by adding a winter wheat representation, specific plant parameterizations for important cash crops, and a cover-cropping and crop rotation subroutine to its crop module. Our modifications should be applied in future studies of CLM5 to improve regional yield predictions and to better understand large-scale impacts of agricultural management on carbon, water, and energy fluxes.
Katharina Hildegard Elisabeth Meurer, Claire Chenu, Elsa Coucheney, Anke Marianne Herrmann, Thomas Keller, Thomas Kätterer, David Nimblad Svensson, and Nicholas Jarvis
Biogeosciences, 17, 5025–5042, https://doi.org/10.5194/bg-17-5025-2020, https://doi.org/10.5194/bg-17-5025-2020, 2020
Short summary
Short summary
We present a simple model that describes, for the first time, the dynamic two-way interactions between soil organic matter and soil physical properties (porosity, pore size distribution, bulk density and layer thickness). The model was able to accurately reproduce the changes in soil organic carbon, soil bulk density and surface elevation observed during 63 years in a field trial, as well as soil water retention curves measured at the end of the experimental period.
Cited articles
Akmal, M. and Janssens, M.: Productivity and light use efficiency of
perennial ryegrass with contrasting water and nitrogen supplies, Field Crop.
Res., 88, 143–155, 2004.
Allen, R., Pereira, L., Raes, D., and Smith, M.: Crop evapotranspiration –
guidelines for computing crop water requirements, FAO Irrigation and
Drainage Paper 56, FAO Food and Agricultural Organization of the United
Nations, Rome, ISBN 92-5-104219-5, 1998.
Arora, V. and Boer, G.: A representation of variable root distribution in
dynamic vegetation models, Earth Int., 7, 1–19, 2003.
Ataroff, M. and Naranjo, M.: Interception of water by pastures of
Pennisetum clandestinum Hochst. ex Chiov. and Melinis minutiflora Beauv, Agr. Forest Meteorol., 149, 1616–1620, 2009.
Beier, C., Beierkuhnlein, C., Wohlgemuth, T., Penuelas, J., Emmett, B.,
Körner, C., de Boeck, H., Hesselbjerg Christensen, J., Leuzinger, S.,
Janssens, I., and Hansen, K.: Precipitation manipulation experiments –
challenges and recommendations for the future, Ecol. Lett., 15, 899–911,
2012.
Bellocchi, G., Rivington, M., Donatelli, M., and Matthews, K.: Validation of
biophysical models: issues and methodologies. A review, Agron. Sustain. Dev.,
30, 109–130, 2010.
Benot, M.-L., Morvan-Bertrand, A., Mony, C., Huet, J., Sulmon, C., Decau,
M.-L., Prud'homme, M.-P., and Bonis, A.: Grazing intensity modulates
carbohydrate storage pattern in five grass species from temperate
grasslands, Acta Oecol., 95, 108–115, 2019.
Beven, K.: A manifesto for the equifinality thesis, J. Hydrol., 320, 18–36,
2006.
Beven, K. and Binley, A.: The future of distributed models: model
calibration and uncertainty prediction, Hydrol. Process., 6, 279–298, 1992.
Black, A., Moot, D., and Lucas, R.: Development and growth characteristics
of Caucasian and white clover seedlings, compared with perennial ryegrass,
Grass Forage Sci., 61, 442–453, 2006.
Bogena, H., Montzka, C., Huisman, J., Graf, A., Schmidt, M., Stockinger, M.,
von Hebel, C., Hendricks-Franssen, H., van der Kruk, J., Tappe, W.,
Lücke, A., Baatz, R., Bol, R., Groh, J., Pütz, T., Jakobi, J.,
Kunkel, R., Sorg, J., and Vereecken, H.: The TERENO-Rur hydrological
observatory: a multiscale multi-compartment research platform for the
advancement of hydrological science, Vadose Zone J., 17, 180055,
https://doi.org/10.2136/vzj2018.03.0055, 2018.
Bollig, C. and Feller, U.: Impacts of drought stress on water relations and
carbon assimilation in grassland species at different altitudes, Agr.
Ecosyst. Environ., 188, 212–220, 2014.
Bonos, S. and Murphy, J.: Growth responses and performance of Kentucky
Bluegrass under summer stress, Crop Sci., 39, 770–774, 1999.
Boote, K., Jones, J., White, J., Asseng, S., and Lizaso, J.: Putting
mechanisms into crop production models, Plant Cell Environ., 36, 1658–1672,
2013.
Bossio, D., Cook-Patton, S., Ellis, P., Fargione, J., Sanderman, J., Smith,
P., Wood, S., Zomer, R., von Unger, M., Emmer, I., and Griscom, B.: The role
of soil carbon in natural climate solutions, Nat. Sustain., 3, 391–398,
https://doi.org/10.1038/s41893-020-0491-z, 2020.
Cai, G., Vanderborght, J., Couvreur, V., Mboh, C., and Vereecken, H.:
Parameterization of root water uptake models considering dynamic root
distributions and water uptake compensation, Vadose Zone J., 17, 160125,
https://doi.org/10.2136/vzj2016.12.0125, 2017.
Chen, H. and Brassard, B.: Intrinsic and extrinsic controls of fine root
life span, Crit. Rev. Plant Sci., 32, 151–161, 2013.
Coleman, S., Shiel, R., and Evans, D.: The effects of weather and nutrition
on the yield of hay from Palace Leas meadow hay plots, at Cockle Park
experimental farm, over the period from 1897 to 1980, Grass Forage Sci., 42,
353–358, 1989.
Chen, S., Lin, S., Reinsch, T., Loges, R., Hasler, M., and Taube, F.:
Comparison of ingrowth core and sequential soil core methods for estimating
belowground net primary production in grass–clover swards, Grass Forage
Sci., 71, 515–528, 2016.
Couvreur, V., Vanderborght, J., and Javaux, M.: A simple three-dimensional macroscopic root water uptake model based on the hydraulic architecture approach, Hydrol. Earth Syst. Sci., 16, 2957–2971, https://https://doi.org/10.5194/hess-16-2957-2012, 2012.
DaCosta, M., Wang, Z., and Huang, B.: Physiological adaptation of Kentucky
Bluegrass to localized soil drying, Crop Sci., 44, 1307–1314, 2004.
de Jong van Lier, Q., Dourado Neto, D., and Metselaar, K.: Modeling of
transpiration reduction in van Genuchten–Mualem type soils, Water Resour.
Res., 45, W02422, https://doi.org/10.1029/2008WR006938, 2009.
de Jong van Lier, Q., van Dam, J., Durigon, A., dos Santos, M., and
Metselaar, K.: Modeling water potentials and flows in the soil-plant system
comparing hydraulic resistances and transpiration reduction functions,
Vadose Zone J., 12, https://doi.org/10.2136/vzj2013.02.0039, 2013.
de Jong van Lier, Q., van Dam, J., Metselaar, K., de Jong, R., and
Duijnisveld, W.: Macroscopic root water uptake distribution using a matric
flux potential approach, Vadose Zone J., 7, 1065–1078, 2008.
de Willigen, P., van Dam, J., Javaux, M., and Heinen, M.: Root water uptake
as simulated by three soil water flow models, Vadose Zone J., 11,
https://doi.org/10.2136/vzj2012.0018, 2012.
Diekkrüger, B., Söndgerath, D., Kersebaum, K., and McVoy, C.:
Validity of agroecosystem models a comparison of results of different models
applied to the same data set, Ecol. Modell., 81, 3–29, 1995.
Dong, X., Patton, B., Nyren, P., Limb, R., Cihacek, L., Kirby, D., and Deckard, E.: Leaf-water relations of a native and an introduced grass species in the mixed-grass prairie under cattle grazing, Appl. Ecol. Environ. Res., 9, 311–331, 2011.
Dunbabin, V., Postma, J., Schnepf, A., Pagès, L., Javaux, M., Wu, L.,
Leitner, D., Chen, Y., Rengel, Z., and Diggle, A.: Modelling root-soil
interactions using three-dimensional models of root growth, architecture and
function, Plant Soil, 372, 93–124, 2013.
Eckersten, H., Herrmann, A., Kornher, A., Halling, M., Sindhøj, E., and
Lewan, E.: Predicting silage maize yield and quality in Sweden as influenced
by climate change and variability, Acta Agric. Scand. B-S. P., 62, 151–165, 2012.
Fan, J., McConkey, B., Wang, H., and Janzen, H.: Root distribution by depth
for temperate agricultural crops, Field Crop. Res., 189, 68–74, 2016.
Faria, L., da Rocha, M., de Jong van Lier, Q., and Casaroli, D.: A split-pot
experiment with sorghum to test a root water uptake partitioning model,
Plant Soil, 331, 299–311, 2010.
Fatichi, S., Pappas, C., and Ivanov, V.: Modeling plant-water interactions:
an ecohydrological overview from the cell to the global scale, WIREs Water
3, 327–368, https://doi.org/10.1002/wat2.1125, 2016.
Foley, J., Ramankutty, N., Brauman, K., Cassidy, E., Gerber, J., Johnston,
M., Mueller, N., O'Connell, C., Ray, D., West, P., Balzer, C., Bennett, E.,
Carpenter, S., Hill, J., Monfreda, C., Polasky, S., Rockström, J.,
Sheehan, J., Siebert, S., Tilman, D., and Zaks, D.: Solutions for a
cultivated planet, Nature, 7369, 337–342, 2011.
Forstner, V., Groh, J., Vremec, M., Herndl, M., Vereecken, H., Gerke, H. H., Birk, S., and Pütz, T.: Response of water fluxes and biomass production to climate change in permanent grassland soil ecosystems, Hydrol. Earth Syst. Sci., 25, 6087–6106, https://https://doi.org/10.5194/hess-25-6087-2021, 2021.
Friedlingstein, P., Joel, G., Field, C., and Fung, I.: Toward an allocation
scheme for global terrestrial carbon models, Glob. Change Biol., 5,
755–770, 1999.
Gebler, S., Hendricks Franssen, H.-J., Pütz, T., Post, H., Schmidt, M., and Vereecken, H.: Actual evapotranspiration and precipitation measured by lysimeters: a comparison with eddy covariance and tipping bucket, Hydrol. Earth Syst. Sci., 19, 2145–2161, https://https://doi.org/10.5194/hess-19-2145-2015, 2015.
Gifford, R.: Plant respiration in productivity models: conceptualisation,
representation and issues for global terrestrial carbon-cycle research,
Funct. Plant Biol., 30, 171–186, 2003.
Giraud, M., Groh, J., Gerke, H. H., Brüggemann, N., Vereecken, H., and
Pütz, T.: Soil nitrogen dynamics in a managed temperate grassland under
changed climatic conditions, Water, 13, 931, https://doi.org/10.3390/w13070931,
2021.
Groh, J., Pütz, T., Gerke, H., Vanderborght, J., and Vereecken, H.:
Quantification and prediction of nighttime evapotranspiration for two
distinct grassland ecosystems, Water Resour. Res., 55, 2961–2975, 2019.
Groh, J., Diamantopoulos, E., Duan, X., Ewert, F., Herbst, M., Holbak, M.,
Kamali, B., Kersebaum, K.-C., Kuhnert, M., Lischeid, G., Nendel, C.,
Priesack, E., Steidl, J., Sommer, M., Pütz, T., Vereecken, H., Wallor,
E., Weber, T., Wegehenkel, M., Weihermüller, L., and Gerke, H.: Crop
growth and soil water fluxes at erosion-affected arable sites: using
weighing lysimeter data for model intercomparison, Vadose Zone J., 19,
e20058, https://doi.org/10.1002/vzj2.20058, 2020a.
Groh, J., Vanderborght, J., Pütz, T., Vogel, H.-J., Gründling, R., Rupp, H., Rahmati, M., Sommer, M., Vereecken, H., and Gerke, H. H.: Responses of soil water storage and crop water use efficiency to changing climatic conditions: a lysimeter-based space-for-time approach, Hydrol. Earth Syst. Sci., 24, 1211–1225, https://doi.org/10.5194/hess-24-1211-2020, 2020b.
Guest, G., Kröbel, R., Grant, B., Smith, W., Sansoulet, J., Pattey, E.,
Desjardins, R., Jégo, G., Tremblay, N., and Tremblay, G.: Model
comparison of soil processes in eastern Canada using DayCent, DNDC and
STICS, Nutr. Cycl. Agroecosys., 109, 211–232, 2017.
Gupta, A., Rico Medina, A., and Caño Delgado, A.: The physiology of
plant responses to drought, Science, 368, 266–269, 2020.
He, D, Wang, E., Wang, J., and Robertson, M.: Data requirement for effective
calibration of process-based crop models, Agr. Forest Meteorol., 234–235,
136–148, 2017.
Heinlein, F., Biernath, C., Klein, C., Thieme, C., and Priesack, E.:
Evaluation of simulated transpiration from maize plants on lysimeters,
Vadose Zone J., 16, https://doi.org/10.2136/vzj2016.05.0042, 2017.
Hennessy, D., O'Donovan, M., French, P., and Laidlaw, A.: Factors
influencing tissue turnover during winter in perennial ryegrass-dominated
swards, Grass Forage Sci., 63, 202–211, 2008.
Hofer, D., Suter, M., Buchmann, N., and Lüscher, A.: Severe water
deficit restricts biomass production of Lolium perenne L. and Trifolium repens L. and causes foliar
nitrogen but not carbohydrate limitation, Plant Soil, 421, 367–380, 2017.
Holloway-Phillips, M. and Brodribb, T.: Minimum hydraulic safety leads to a maximum water-use efficiency in a forage grass, Plant Cell Environ., 34, 302–313,
https://doi.org/10.1111/j.1365-3040.2010.02244.x, 2011.
Hoover, D., Wilcox, K., and Young, K.: Experimental droughts with rainout
shelters: a methodological review, Ecosphere, 9, e02088, https://doi.org/10.1002/ecs2.2088,
2018.
Howard, H. and Watschke, T.: Variable high-temperature tolerance among
Kentucky Bluegrass cultivars, Agron. J., 83, 689–693, 1991.
Hu, L., Wang, Z., and Huang, B.: Effects of cytokinin and potassium on stomatal and photosynthetic recovery of Kentucky Bluegrass from drought stress, Crop Sci., 53, 221–231,
https://doi.org/10.2135/cropsci2012.05.0284, 2013.
Hu, Z., Yu, G., Zhou, Y., Sun, X., Li, Y., Shi, P., Wang, Y., Song, X.,
Zheng, Z., Zhang, L., and Li, S.: Partitioning of evapotranspiration and its
controls in four grassland ecosystems: application of a two-source model,
Agr. Forest Meteorol., 149, 1410–1420, 2009.
Hui, D. and Jackson, R.: Geographical and interannual variability in
biomass partitioning in grassland ecosystems: a synthesis of field data, New
Phytol., 169, 85–93, 2006.
Ineson, P., Taylor, K., Harrison, A., Poskitt, J., Benham D., Tipping, E.,
and Woof C.: Effects of climate change on nitrogen dynamics in upland soils.
1. A transplant approach, Glob. Change Biol., 4, 143–152, 1998.
Istanbulluoglu, E., Wang, T., and Wedin, D.: Evaluation of ecohydrologic
model parsimony at local and regional scales in a semiarid grassland
ecosystem, Ecohydrology, 5, 121–142, 2012.
Jackson, R., Canadell, J., Ehleringer, J., Mooney, H., Sala, O., and
Schulze, E.: A global analysis of root distributions for terrestrial biomes,
Oecologia, 108, 389–411, 1996.
Javaux, M., Couvreur, V., Vanderborght, J., and Vereecken, H.: Root water
uptake: from three-dimensional biophysical processes to macroscopic modeling
approaches, Vadose Zone J., 12, https://doi.org/10.2136/vzj2013.02.0042, 2013.
Jarvis, N., Koestel, J., Messing, I., Moeys, J., and Lindahl, A.: Influence of soil, land use and climatic factors on the hydraulic conductivity of soil, Hydrol. Earth Syst. Sci., 17, 5185–5195, https://doi.org/10.5194/hess-17-5185-2013, 2013.
Jarvis, N. J.: Simple physics-based models of compensatory plant water uptake: concepts and eco-hydrological consequences, Hydrol. Earth Syst. Sci., 15, 3431–3446, https://doi.org/10.5194/hess-15-3431-2011, 2011.
Jenkinson, D., Potts, J., Perry, J., Barnett, V., Coleman, K., and Johnston,
A.: Trends in herbage yields over the last century on the Rothamsted
long-term continuous hay experiment, J. Agr. Sci., 122, 365–374, 1994.
Jing, Q., Bélanger, G., Baron, V., Bonesmo, H., Virkajärvi, P., and
Young, D.: Regrowth simulation of the perennial grass timothy, Ecol.
Modell., 232, 64–77, 2012.
Johansson, G.: Carbon distribution in grass (Festuca pratensis L.) during regrowth after
cutting- utilization of stored and newly assimilated carbon, Plant Soil,
151, 11–20, 1993.
Johnson, I., Chapman, D., Snow, V., Eckard, R., Parsons, A., Lambert, M.,
and Cullen, B.: DairyMod and EcoMod: biophysical pasture-simulation models
for Australia and New Zealand, Aust. J. Exp. Agr., 48, 621–631, 2008.
Jones, M., Leafe, E., and Stiles, W.: Water stress in field-grown perennial
ryegrass I. Its effect on growth, canopy photosynthesis, and transpiration,
Ann. Appl. Biol., 96, 87–101, 1980a.
Jones, M., Leafe, E., and Stiles, W.: Water stress in field-grown perennial
ryegrass I. Its effect on leaf water status, stomatal-resistance, and leaf
morphology, Ann. Appl. Biol., 96, 103–110, 1980b.
Jouven, M., Carrère, P., and Baumont, R.: Model predicting dynamics of
biomass, structure and digestibility of herbage in managed permanent
pastures. 1. Model description, Grass Forage Sci., 61, 112–124, 2006a.
Jouven, M., Carrère, P., and Baumont, R.: Model predicting dynamics of
biomass, structure and digestibility of herbage in managed permanent
pastures. 1. Model evaluation, Grass Forage Sci., 61, 125–133, 2006b.
Jupp, A. and Newman, E.: Morphological and anatomical effects of severe
drought on the roots of Lolium perenne L., New Phytol., 105, 393–402, 1987.
Kahmen, A., Perner, J., and Buchmann, N.: Diversity-dependent productivity
in semi-natural grasslands following climate perturbations, Func. Ecol., 19,
594–601, 2005.
Katata, G., Grote, R., Mauder, M., Zeeman, M. J., and Ota, M.: Wintertime grassland dynamics may influence belowground biomass under climate change: a model analysis, Biogeosciences, 17, 1071–1085, https://doi.org/10.5194/bg-17-1071-2020, 2020.
Kellner, J., Multsch, S., Houska, T., Kraft, P., Müller, C., and Breuer,
L.: A coupled hydrological-plant growth model for simulating the effect of
elevated CO2 on a temperate grassland, Agr. Forest Meteorol., 246,
42–50, 2017.
Kemp, D. and Culvenor, R.: Improving the grazing and drought tolerance of
temperate perennial grasses, New Zealand J. Agr. Res., 37, 365–378, 1994.
Kersebaum, K., Hecker, J., Mirschel, W., and Wegehenkel, M.: Modelling water
and nutrient dynamics in soil–crop systems: a comparison of simulation
models applied on common data sets, in: Modelling water and nutrient dynamics in
soil–crop systems, edited by: Kersebaum, K., Hecker, J., Mirschel,
W., and Wegehenkel, M., Springer, Dordrecht, https://doi.org/10.1007/978-1-4020-4479-3, 2007.
Kersebaum, K., Boote, K., Jorgenson, J., Nendel, C., Bindi, M., Frühauf,
C., Gaiser, T., Hoogenboom, G., Kollas, C., Olesen, J., Rötter, R.,
Ruget, F., Thorburn, P., Trnka, M., and Wegehenkel, M.: Analysis and
classification of data sets for calibration and validation of agro-ecosystem
models, Environ. Modell. Softw., 72, 402–417, 2015.
Kipling, R., Virkajärvi, P., Breitsameter, L., Curnel, Y., De Swaef, T.,
Gustavsson, A.-M., Hennart, S., Höglind, M., Järvenranta, K., Minet,
J., Nendel, C., Persson, T., Picon-Cochard, C., Rolinski, S., Sandars, D.,
Scollan N., Sebek, L., Seddaiu, G., Topp, C., Twardy, S., Van Middelkoop,
J., Wu, L., and Bellocchi, G.: Key challenges and priorities for modelling
European grasslands under climate change, Sci. Total Environ., 566–567,
851–864, 2016.
Kirchner, J.: Getting the right answers for the right reasons: linking
measurements, analyses, and models to advance the science of hydrology,
Water Resour. Res., 42, W03S04, https://https://doi.org/10.1029/2005WR004362, 2006.
Klein, C., Biernath, C., Heinlein, F., Thieme, C., Gilgen, A., Zeeman, M.,
and Priesack, E.: Vegetation growth models improve surface layer flux
simulations of a temperate grassland, Vadose Zone J., 16,
https://doi.org/10.2136/vzj2017.03.0052, 2017.
Körner, C.: Winter crop growth at low temperature may hold the answer
for alpine treeline formation, Plant Ecol. Divers., 1, 3–11, 2008.
Körner, C.: Paradigm shift in plant growth control, Curr. Opin.
Plant Biol., 25, 107–114, 2015.
Kröbel, R., Sun, Q., Ingwersen, J., Chen, X., Zhang, F., Müller, T.,
and Römheld, V.: Modelling water dynamics with DNDC and DAISY in a soil
of the North China Plain: a comparative study, Environ. Modell. Softw.,
25, 583–601, 2010.
Li, W., Ciais, P., Guenet, B., Peng, S., Chang, J., Chaplot, V., Khudyaev,
S., Peregon, A., Piao, S., Wang, Y., and Yue, C.: Temporal response of soil
organic carbon after grassland-related land-use change, Glob. Change Biol.,
24, 4731–4746, 2018.
Loka, D., Harper, J., Humphreys, M., Gasior, D., Wootton-Beard, P.,
Gwynn-Jones, D., Scullion, J., John Doonan, J., Kingston-Smith, A., Dodd,
R., Wang, J., Chadwick, D., Hill, P., Jones, D., Mills, G., Hayes, F., and
Robinson, D.: Impacts of abiotic stresses on the physiology and metabolism
of cool-season grasses: a review, Food & Energy Security, 8, e00152, https://doi.org/10.1002/fes3.152, 2019.
Luckner, L., van Genuchten, M., and Nielsen, D.: A consistent set of
parametric models for the two-phase flow of immiscible fluids in the
subsurface, Water Resour. Res., 25, 2187–2193, 1989.
Ma, S., Lardy, R., Graux, A.-I., Ben Touhami, H., Klumpp, K., Martin, R., and
Bellocchi, G.: Regional-scale analysis of carbon and water cycles on managed
grassland systems, Environ. Modell. Softw., 72, 356–371, 2015.
Martínez-Vilalta, J., Sala, A., Asensio, D., Galiano, L., Hoch, G.,
Palacio, S., Piper F., and Lloret, F.: Dynamics of non-structural
carbohydrates in terrestrial plants: a global synthesis, Ecol. Monogr., 86,
495–516, 2016.
Mboh, C., Srivastava, A., Gaiser, T., and Ewert, F.: Including root
architecture in a crop model improves predictions of spring wheat grain
yield and above-ground biomass under water limitations, J. Agron. Crop Sci.,
205, 109–128, 2019.
Metselaar, K., Pinheiro, E., and de Jong van Lier, Q.: Mathematical
description of rooting profiles of agricultural crops and its effect on
transpiration prediction by a hydrological model, Soil Syst., 3, 44,
https://doi.org/10.3390/soilsystems3030044, 2019.
Meurer, K., Bolinder, M., Andren, O., Hansson, A.-C., Pettersson, R., and
Kätterer, T.: Shoot and root production in mixed grass ley under daily
fertilization and irrigation: validating the N productivity concept under
field conditions, Nutr. Cycl. Agroecosys., 115, 85–99, 2019.
Meurer, K. H. E., Chenu, C., Coucheney, E., Herrmann, A. M., Keller, T., Kätterer, T., Nimblad Svensson, D., and Jarvis, N.: Modelling dynamic interactions between soil structure and the storage and turnover of soil organic matter, Biogeosciences, 17, 5025–5042, https://doi.org/10.5194/bg-17-5025-2020, 2020.
Montaldo, N., Rondena, R., Albertson, J., and Mancini, M.: Parsimonious
modeling of vegetation dynamics for ecohydrologic studies of water-limited
ecosystems. Water Resour. Res., 41, W10416, https://doi.org/10.1029/2005WR004094, 2005.
Monteith, J.: How do crops manipulate water supply and demand?, Philos. T.
R. Soc. A, 316, 245–259, 1986.
Monteith, J.: Does transpiration limit the growth of vegetation or vice
versa?, J. Hydrol., 100, 57–68, 1988.
Morvan-Bertrand, A., Pavis, N., Boucaud, J., and Prud'homme, M.-P.:
Partitioning of reserve and newly assimilated carbon in roots and leaf
tissues of Lolium perenne during regrowth after defoliation: assessment by 13C
steady-state labelling and carbohydrate analysis, Plant Cell Environ., 22,
1097–1108, 1999.
Mualem, Y.: New model for predicting hydraulic conductivity of unsaturated
porous-media, Water Resour. Res., 12, 513–522, 1976.
Nicotra, A., Atkin, O., Bonser, S., Davidson, A., Finnegan, E., Mathesius,
U., Poot, P., Purugganan, M., Richards, C., Valladares, F., and van Kleunen,
M.: Plant phenotypic plasticity in a changing climate, Trends Plant Sci.,
15, 684–692, 2010.
Nijs, I., Ferris, R., Blum, H., Hendrey, G., and Impens, I.: Stomatal regulation in a changing climate: a field study using Free Air Temperature Increase (FATI) and Free Air CO2 enrichment (FACE), Plant Cell Environ., 20, 1041–1050, 1997.
Norris, I.: Soil moisture and growth of contrasting varieties of Lolium,
Dactylis and Festuca species, Grass Forage Sci., 37, 273–283, 1982.
Nosalewicz, A., Siecińska, J., Kondracka, K., and Nosalewicz, M.: The
functioning of Festuca arundinacea and Lolium perenne under drought is improved to a different extend by the
previous exposure to water deficit, Environ. Exp. Bot., 156, 271–278, 2018.
Østrem, L., Rapacz, M., Jørgensen, M., and Höglind, M.: Effect of
developmental stage on carbohydrate accumulation patterns during winter of
timothy and perennial ryegrass, Acta Agric. Scand. B-S. P., 61, 153–163, 2011.
Padilla, F., Aarts, B., Roijendijk, Y., de Caluwe, H., Mommer, L., Visser,
E., and de Kroon, H.: Root plasticity maintains growth of temperate
grassland species under pulsed water supply, Plant Soil, 369, 377–386, 2013.
Persson, T., Höglind, M., Gustavsson, A.-M., Halling, M., Jauhiainen, L.,
Niemeläinen, O., Thorvaldsson, G., and Virkajärvi, P.: Evaluation of
the LINGRA timothy model under Nordic conditions, Field Crop. Res., 161,
87–97, 2014.
Peters, A., Groh, J., Schrader, F., Durner, W., Vereecken, H., and Pütz,
T.: Towards an unbiased filter routine to determine precipitation and
evapotranspiration from high precision lysimeter measurements, J. Hydrol.,
549, 731–740, 2017.
Picon-Cochard, C., Pilon, R., Tarroux, E., Pagès, L., Robertson, J., and
Dawson, L.: Effect of species, root branching order and season on the root
traits of 13 perennial grass species, Plant Soil, 353, 47–57, 2012.
Postma, J., Kuppe, C., Owen, M., Mellor, N., Griffiths, M., Bennett, M.,
Lynch, J., and Watt, M.: OPENSIMROOT: widening the scope and application of
root architectural models, New Phytol., 215, 1274–1286, 2017.
Pütz, T., Kiese, R., Wollschläger, U., Groh, J., Rupp, H.,
Zacharias, S., Priesack, E., Gerke, H., Gasche, R., Bens, O., Borg, E.,
Baessler, C., Kaiser, K., Herbrich, M., Munch, J.-C., Sommer, M., Vogel,
H.-J., Vanderborght, J., and Vereecken, H.: TERENO-SOILCan: a
lysimeter-network in Germany observing soil processes and plant diversity
influenced by climate change, Environ. Earth Sci., 75, 1242, https://doi.org/10.1007/s12665-016-6031-5, 2016.
Raats, P.: Uptake of water from soils by plant roots, Transport Porous Med.,
68, 5–28, 2007.
Rahmati, M., Groh, J., Graf, A., Pütz, T., Vanderborght, J., and
Vereeecken, H.: On the impact of increasing drought on the relationship
between soil water content and evapotranspiration of a grassland, Vadose
Zone J., 19, e20029, https://doi.org/10.1002/vzj2.20029, 2020.
Robertson, M., Rebetzke, G., and Norton, R.: Assessing the place and role of
crop simulation modelling in Australia, Crop Pasture Sci., 66, 877–893,
2015.
Robinson, D., Hopmans, J., Filipovic, V., van der Ploeg, M., Lebron, I.,
Jones, S., Reinsch, S., Jarvis, N., and Tuller, M.: Gobal environmental
changes impact soil hydraulic functions through biophysical feedbacks,
Glob. Change Biol., 25, 1895–1904, 2019.
Ruane, A., Phillips, M., and Rosenzweig, C.: Climate shifts within major
agricultural seasons for +1.5 and +2.0 ∘C worlds: HAPPI
projections and AgMIP modeling scenarios, Agr. Forest Meteorol., 259,
329–344, 2018.
Sadok, W., Lopez, J., and Smith, K.: Transpiration increases under
high-temperature stress: potential mechanisms, trade-offs and prospects for
crop resilience in a warming world, Plant Cell Environ., 44, 2102–2116,
2021.
Sándor, R., Barcza, Z., Acutis, M., Doro, L., Hidy, D., Köchy, M.,
Minet, J., Lellei-Kovács, E., Ma, S., Perego, A., Rolinski, S., Ruget,
F., Sanna, M., Seddaiu, G., Wu, L., and Bellocchi, G.: Multi-model
simulation of soil temperature, soil water content and biomass in
Euro-Mediterranean grasslands: uncertainties and ensemble performance, Eur.
J. Agron., 88, 22–40, 2017.
Schapendonk, A., Stol, W., van Kraalingen, D., and Bouman, B.: LINGRA, a
sink/source model to simulate grassland productivity in Europe, Eur. J.
Agron., 9, 87–100, 1998.
Schenk, H. and Jackson, R.: The global biogeography of roots, Ecol.
Monogr., 73, 311–328, 2002.
Schmitt, A., Pausch, J., and Kuzyakov, Y.: Effect of clipping and shading on
C allocation and fluxes in soil under ryegrass and alfalfa estimated by
14C labelling, Appl. Soil Ecol., 64, 228–236, 2013.
Schnepf, A., Leitner, D., Landl, M., Lobet, G., Mai, T-H., Morandage, S.,
Sheng, C., Zorner, M., Vanderborght, J., and Vereecken, H.: CRootBox: a
structural-functional modelling framework for root systems, Ann. Bot., 121,
1033–1053, 2018.
Seidel, S., Palosuo, T., Thorburn, P., and Wallach, D.: Towards improved
calibration of crop models – where are we now and where should we go?, Eur.
J. Agron., 94, 25–35, 2018.
Shuttleworth, W. and Gurney, R.: The theoretical relationship between
foliage temperature and canopy resistance in sparse crops, Q. J. Roy. Meteorol. Soc., 116, 497–519, 1990.
Shuttleworth, W. and Wallace, J.: Evaporation from sparse crops – an
energy combination approach, Q. J. Roy. Meteor. Soc., 111, 839–855,
1985.
Silvertown, J., Dodd, M., McConway, K., Potts, J., and Crawley, M.:
Rainfall, biomass variation, and community composition in the Park Grass
experiment, Ecology, 75, 2430–2437, 1994.
Sinclair, T. and Muchow, R.: Radiation use efficiency, Adv. Agron., 65,
215–265, 1999.
Skinner, R. and Comas, L.: Root distribution of temperate forage species
subjected to water and nitrogen stress, Crop Sci., 50, 2178–2185, 2010.
Smithwick, E., Lucash, M., McCormack, M., and Sivandran, G.: Improving the
representation of roots in terrestrial models, Ecol. Model., 291, 193–204,
2014.
Staniak, M. and Kocoń, A.: Forage grasses under drought stress in
conditions of Poland, Acta Physiol. Plant., 37, 116, https://doi.org/10.1007/s11738-015-1864-1, 2015.
Stanimirova, R., Arévalo, P., Kaufmann, R., Maus, V., Lesiv, M.,
Havlík, P., and Friedl, M.: Sensitivity of global pasturelands to
climate variation, Earth's Future, 7, 1353–1366, 2019.
Stöckle, C. and Kemanian, A.: Can crop models identify critical gaps in
genetics, environment, and management interactions?, Front. Plant Sci., 11,
737, https://doi.org/10.3389/fpls.2020.00737, 2020.
Sulis, M., Couvreur, V., Keune, J., Cai, G., Trebs, I., Junk, J., Shrestha,
P., Simmer, C., Kollet, S., Vereecken, H., and Vanderborght, J.:
Incorporating a root water uptake model based on the hydraulic architecture
approach in terrestrial systems simulations, Agr. Forest Meteorol., 269–270,
28–45, 2019.
Tardieu, F. and Parent, B.: Predictable “meta-mechanisms” emerge from
feedbacks between transpiration and plant growth and cannot be simply
deduced from short-term mechanisms, Plant Cell Environ., 40, 846–857, 2017.
Tardieu, F., Draye, X., and Javaux, M.: Root water uptake and ideotypes of
the root system: whole-plant controls matter, Vadose Zone J., 16,
https://doi.org/10.2136/vzj2017.05.0107, 2017.
Tardieu, F., Simonneau, T., and Muller, B.: The physiological basis of
drought tolerance in crop plants: a scenario-dependent probabilistic
approach, Annu. Rev. Plant Biol., 69, 733–759, 2018.
Thomas, H.: Accumulation and consumption of solutes in swards of Lolium perenne during
drought and after rewatering, New Phytol., 118, 35–48, 1991.
Thomas, H. and James, A.: Partitioning of sugars in Lolium perenne (perennial ryegrass)
during drought and on rewatering, New Phytol., 142, 295–305, 1999.
Tubiello, F., Soussana, J., and Howden, S.: Crop and pasture response to
climate change, P. Natl. Acad. Sci. USA, 104, 19686–19690, 2007.
van der Krift, T., and Berendse, F.: Root life spans of four grass species
from habitats differing in nutrient availability, Funct. Ecol., 16, 198–203,
2002.
van Genuchten, M.: A closed-form equation for predicting the hydraulic
conductivity of unsaturated soils, Soil Sci. Soc. Am. J., 44, 892–898,
1980.
Vincent, C., Rowland, D., Schaffer, B., Bassil, E., Racette, K., and
Zurweller, B.: Primed acclimation: a physiological process offers a strategy
for more resilient and irrigation-efficient crop production, Plant Sci.,
295, 110240, https://doi.org/10.1016/j.plantsci.2019.110240, 2020.
Volaire, F., Thomas, H., and Lelievre, F.: Survival and recovery of perennial
forage grasses under prolonged Mediterranean drought I. Growth, death, water
relations and solute content in herbage and stubble, New Phytol., 140,
439–449, 1998.
Wang, Z. and Huang, B.: Genotypic variation in abscisic acid accumulation, water relations, and gas exchange for Kentucky Bluegrass exposed to drought stress, J. Amer. Soc. Hortic. Sci., 128, 349–355, 2003.
Wang, E. and Smith, C.: Modelling the growth and water uptake function of
plant root systems: a review, Aust. J. Agr. Res., 55, 501–523, 2004.
Wedderburn, M., Crush, J., Pengelly, W., and Walcroft, J.: Root growth
patterns of perennial ryegrasses under well-watered and drought conditions,
New Zealand J. Agr. Res., 53, 377–388, 2010.
Wegehenkel, M., Zhang, Y., Zenker, T., and Diestel, H. The use of lysimeter
data for the test of two soil–water balance models: a case study, J. Plant
Nutr. Soil Sci., 171, 762–776, 2008.
White, T. and Snow, V.: A modelling analysis to identify plant traits for enhanced water-use efficiency of pasture, Crop and Pasture Science, 63, 63–76, https://doi.org/10.1071/CP11250, 2012.
White, A., Rogers, A., Rees, M., and Osborne, C.: How can we make plants
grow faster? A source-sink perspective on growth rate, J. Exp. Bot., 67,
31–45, 2016.
Wingler, A.: Comparison of signaling interactions determining annual and
perennial plant growth in response to low temperature, Front. Plant Sci., 5,
794, https://doi.org/10.3389/fpls.2014.00794, 2015.
Wösten J., Lilly, A., Nemes, A., and Le Bas, C.: Development and use of
a database of hydraulic properties of European soils, Geoderma, 90, 169–185,
1999.
Wu, A., Song, Y., van Oosterom, E., and Hammer, G.: Connecting biochemical
photosynthesis models with crop models to support crop improvement, Front.
Plant Sci. 7, 1518, https://doi.org/10.3389/fpls.2016.01518, 2016.
Zacharias, S., Bogena, H., Samaniego, L., Mauder, M., Fuß, R., Pütz,
T., Frenzel, M., Schwank, M., Baessler, C., Butterbach-Bahl, K., Bens, O.,
Borg, E., Brauer, A., Dietrich, P., Hajnsek, I., Helle, G., Kiese, R.,
Kunstmann, H., Klotz, S., Munch, J-C., Papen H., Priesack, E., Schmid, H-P.,
Steinbrecher, R., Rosenbaum, U., Teutsch, G., and Vereecken, H.: A network
of terrestrial environmental observatories in Germany, Vadose Zone J., 10,
955–973, 2011.
Zhang, L., Hu, Z., Fan, J., Zhou, D., and Tang, F.: A meta-analysis of the
canopy light extinction coefficient in terrestrial ecosystems, Front. Earth
Sci., 8, 599–609, 2014.
Zhou, M., Ishidaira, H., Hapuarachchi, H., Magome, J., Kiem, A., and
Takeuchi, K.: Estimating potential evapotranspiration using
Shuttleworth–Wallace model and NOAA-AVHRR NDVI data to feed a distributed
hydrological model over the Mekong River basin, J. Hydrol., 327, 151–173,
2006.
Zwicke, M., Picon-Cochard, C., Morvan-Bertrand, A., Prud'homme, M.-P., and
Volaire, F.: What functional strategies drive drought survival and recovery
of perennial species from upland grassland?, Ann. Bot., 116, 1001–1015, 2015.
Short summary
We apply an eco-hydrological model to data on soil water balance and grassland growth obtained at two sites with contrasting climates. Our results show that the grassland in the drier climate had adapted by developing deeper roots, which maintained water supply to the plants in the face of severe drought. Our study emphasizes the importance of considering such plastic responses of plant traits to environmental stress in the modelling of soil water balance and plant growth under climate change.
We apply an eco-hydrological model to data on soil water balance and grassland growth obtained...
