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@ARTICLE{Passot:857058,
      author       = {Passot, Sixtine and Couvreur, Valentin and Meunier,
                      Félicien and Draye, Xavier and Javaux, Mathieu and Leitner,
                      Daniel and Pagès, Loïc and Schnepf, Andrea and
                      Vanderborght, Jan and Lobet, Guillaume},
      title        = {{C}onnecting the dots between computational tools to
                      analyse soil-root water relations},
      journal      = {The journal of experimental botany},
      volume       = {70},
      number       = {9},
      issn         = {1460-2431},
      address      = {Oxford},
      publisher    = {Oxford Univ. Press},
      reportid     = {FZJ-2018-06326},
      pages        = {2345–2357},
      year         = {2019},
      abstract     = {In recent years, many computational tools, such as image
                      analysis, data management, process-based simulation, and
                      upscaling tools, have been developed to help quantify and
                      understand water flow in the soil–root system, at multiple
                      scales (tissue, organ, plant, and population). Several of
                      these tools work together or at least are compatible.
                      However, for the uninformed researcher, they might seem
                      disconnected, forming an unclear and disorganized succession
                      of tools. In this article, we show how different studies can
                      be further developed by connecting them to analyse
                      soil–root water relations in a comprehensive and
                      structured network. This ‘explicit network of soil–root
                      computational tools’ informs readers about existing tools
                      and helps them understand how their data (past and future)
                      might fit within the network. We also demonstrate the novel
                      possibilities of scale-consistent parameterizations made
                      possible by the network with a set of case studies from the
                      literature. Finally, we discuss existing gaps in the network
                      and how we can move forward to fill them.},
      cin          = {IBG-3},
      ddc          = {580},
      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},
      pubmed       = {pmid:30329081},
      UT           = {WOS:000469784900002},
      doi          = {10.1093/jxb/ery361},
      url          = {https://juser.fz-juelich.de/record/857058},
}