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@ARTICLE{Jarvis:907532,
      author       = {Jarvis, Nicholas and Groh, Jannis and Lewan, Elisabet and
                      Meurer, Katharina H. E. and Durka, Walter and Baessler,
                      Cornelia and Pütz, Thomas and Rufullayev, Elvin and
                      Vereecken, Harry},
      title        = {{C}oupled modelling of hydrological processes and grassland
                      production in two contrasting climates},
      journal      = {Hydrology and earth system sciences},
      volume       = {26},
      number       = {8},
      issn         = {1027-5606},
      address      = {Katlenburg-Lindau},
      publisher    = {EGU},
      reportid     = {FZJ-2022-02065},
      pages        = {2277 - 2299},
      year         = {2022},
      abstract     = {Projections of global climate models suggest that ongoing
                      human-induced climate change will lead to an increase in the
                      frequency of severe droughts in many important agricultural
                      regions of the world. Eco-hydrological models that integrate
                      current understanding of the interacting processes governing
                      soil water balance and plant growth may be useful tools to
                      predict the impacts of climate change on crop production.
                      However, the validation status of these models for making
                      predictions under climate change is still unclear, since few
                      suitable datasets are available for model testing. One
                      promising approach is to test models using data obtained in
                      “space-for-time” substitution experiments, in which
                      samples are transferred among locations with contrasting
                      current climates in order to mimic future climatic
                      conditions. An important advantage of this approach is that
                      the soil type is the same, so that differences in soil
                      properties are not confounded with the influence of climate
                      on water balance and crop growth. In this study, we evaluate
                      the capability of a relatively simple eco-hydrological model
                      to reproduce 6 years (2013–2018) of measurements of soil
                      water contents, water balance components and grass
                      production made in weighing lysimeters located at two sites
                      within the TERENO-SoilCan network in Germany. Three
                      lysimeters are located at an upland site at Rollesbroich
                      with a cool, wet climate, while three others had been moved
                      from Rollesbroich to a warmer and drier climate on the lower
                      Rhine valley floodplain at Selhausen. Four of the most
                      sensitive parameters in the model were treated as uncertain
                      within the framework of the GLUE (generalized likelihood
                      uncertainty estimation) methodology, while the remaining
                      parameters in the model were set according to site
                      measurements or data in the literature.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000789402200001},
      doi          = {10.5194/hess-26-2277-2022},
      url          = {https://juser.fz-juelich.de/record/907532},
}