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@ARTICLE{Ptz:820902,
      author       = {Pütz, Thomas and Kiese, R. and Wollschläger, U. and Groh,
                      J. and Rupp, H. and Zacharias, S. and Priesack, E. and
                      Gerke, H. H. and Gasche, R. and Bens, O. and Borg, E. and
                      Baessler, C. and Kaiser, K. and Herbrich, M. and Munch,
                      J.-C. and Sommer, M. and Vogel, H.-J. and Vanderborght, J.
                      and Vereecken, H.},
      title        = {{TERENO}-{SOILC}an: a lysimeter-network in {G}ermany
                      observing soil processes and plant diversity influenced by
                      climate change},
      journal      = {Environmental earth sciences},
      volume       = {75},
      number       = {18},
      issn         = {1866-6299},
      address      = {Berlin},
      publisher    = {Springer},
      reportid     = {FZJ-2016-06166},
      pages        = {1242},
      year         = {2016},
      abstract     = {he aim of TERENO (TERrestrial ENvironmental Observatories)
                      is to collect long-term observation data on the hydrosphere,
                      biosphere, pedosphere, lower atmosphere and anthroposphere
                      along multiple spatial and temporal gradients in climate
                      sensitive regions across Germany. The lysimeter-network
                      SOILCan was installed as a part of TERENO between March and
                      December 2010 within the four observatories. It represents a
                      long-term large-scale experiment to study the effects of
                      climate and management changes in terrestrial ecosystems,
                      with particular focus on the impact of these changes on
                      water, energy and matter fluxes into groundwater and
                      atmosphere. SOILCan primarily focuses on soil hydrology, the
                      carbon and nutrient cycle and plant species diversity. Time
                      series measurements of states and fluxes at high spatial and
                      temporal resolution in the soil and biosphere are combined
                      with remote sensing information for the development and
                      calibration of process-based models simulating impacts of
                      climate change in soil processes at field to regional scale.
                      Within the framework of SOILCan, 132 fully automated
                      lysimeter systems were installed at 14 highly equipped
                      experimental field sites across the four TERENO
                      observatories. Relevant state variables of grassland and
                      arable ecosystems are monitored characterizing climate,
                      hydrology and matter fluxes into the atmosphere and within
                      the hydrosphere as well as plant species diversity.
                      Lysimeters are either being operated at or near their
                      original sampling location or were transferred within or
                      between the four TERENO observatories thereby using
                      temperature and rainfall gradients to mimic future climatic
                      conditions (space for time), which allow measuring impacts
                      of climate change on terrestrial ecosystems. The lysimeters
                      are cultivated as grassland (intensive, extensive and
                      non-used) or arable land, the latter with a standardized
                      crop rotation of winter wheat—winter barley—winter
                      rye—oat. This publication describes the general design of
                      the SOILCan experiment including a comprehensive description
                      of the pedological characteristics of the different sites
                      and presents a few exemplary results from the first years of
                      operation.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000384333000009},
      doi          = {10.1007/s12665-016-6031-5},
      url          = {https://juser.fz-juelich.de/record/820902},
}