% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Koebernick:187135,
      author       = {Koebernick, Nicolai and Weller, Ulrich and Huber, Katrin
                      and Schlüter, Steffen and Vogel, Hans-Jörg and Jahn,
                      Reinhold and Vereecken, Harry and Vetterlein, Doris},
      title        = {{I}n {S}itu {V}isualization and {Q}uantification of
                      {T}hree-{D}imensional {R}oot {S}ystem {A}rchitecture and
                      {G}rowth {U}sing {X}-{R}ay {C}omputed {T}omography},
      journal      = {Vadose zone journal},
      volume       = {13},
      number       = {8},
      issn         = {1539-1663},
      address      = {Madison, Wis.},
      publisher    = {SSSA},
      reportid     = {FZJ-2015-00809},
      pages        = {},
      year         = {2014},
      abstract     = {We present a method to quantify the distribution and growth
                      of plant roots in soil using X-ray computed tomography. The
                      method can be applied to complex root systems and will be
                      useful for the study of root–soil interactions.Root system
                      architecture and associated root–soil interactions exhibit
                      large changes over time. Nondestructive methods for the
                      quantification of root systems and their temporal
                      development are needed to improve our understanding of root
                      activity in natural soils. X-ray computed tomography (X-ray
                      CT) was used to visualize and quantify growth of a single
                      Vicia faba L. root system during a drying period. The plant
                      was grown under controlled conditions in a sandy soil
                      mixture and imaged every second day. Minkowski functionals
                      and Euclidean distance transform were used to quantify root
                      architectural traits. We were able to image the root system
                      with water content decreasing from 29.6 to $6.75\%.$ Root
                      length was slightly underestimated compared with destructive
                      measurements. Based on repeated measurements over time it
                      was possible to quantify the dynamics of root growth and the
                      demography of roots along soil depth. Measurement of
                      Euclidean distances from any point within the soil to the
                      nearest root surface yielded a frequency distribution of
                      travel distances for water and nutrients towards roots. Our
                      results demonstrate that a meaningful quantitative
                      characterization of root systems and their temporal dynamics
                      is possible.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {246 - Modelling and Monitoring Terrestrial Systems: Methods
                      and Technologies (POF2-246) / 255 - Terrestrial Systems:
                      From Observation to Prediction (POF3-255)},
      pid          = {G:(DE-HGF)POF2-246 / G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000343162100002},
      doi          = {10.2136/vzj2014.03.0024},
      url          = {https://juser.fz-juelich.de/record/187135},
}