% 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{Jakobi:851432,
      author       = {Jakobi, J. and Huisman, J. A. and Vereecken, H. and
                      Diekkrüger, B. and Bogena, H. R.},
      title        = {{C}osmic {R}ay {N}eutron {S}ensing for {S}imultaneous
                      {S}oil {W}ater {C}ontent and {B}iomass {Q}uantification in
                      {D}rought {C}onditions},
      journal      = {Water resources research},
      volume       = {54},
      number       = {10},
      issn         = {0043-1397},
      address      = {[New York]},
      publisher    = {Wiley},
      reportid     = {FZJ-2018-05079},
      pages        = {7383-7402},
      year         = {2018},
      abstract     = {Understanding the feedback mechanisms between soil water
                      content (SWC) and biomass production is important for
                      sustainable resources management. Here, we present a new
                      method enabling simultaneous non‐invasive measurements of
                      SWC and biomass dynamics based on cosmic‐ray neutron
                      sensing (CRNS). Recently, it was suggested that the neutron
                      ratio (N<sub>r</sub>) between thermal neutron (TN) and fast
                      neutron (FN) intensity contains information on other
                      hydrogen pools like vegetation, canopy interception, and
                      snow. The aim of this study is to evaluate the accuracy of
                      simultaneous measurements of SWC and biomass dynamics during
                      agricultural drought conditions using CRNS probes. To this
                      end, we instrumented an arable field cropped with sugar beet
                      with CRNS probes and a wireless in‐situ SWC sensor
                      network. Below‐ and aboveground biomass were sampled in
                      monthly intervals. We found a linear relationship between
                      N<sub>r</sub> and the aboveground biomass that allowed to
                      continuously quantify the dry aboveground biomass
                      development throughout the growing season with a root mean
                      square error (RMSE) from 0.14 to 0.22 kg/m<sup>2</sup>. This
                      information was used together with measured belowground
                      biomass to correct for the effect of biomass on SWC
                      determination with CRNS probes, which increased the accuracy
                      of the SWC estimates considerably as indicated by the
                      decrease of the RMSE from 0.046 to 0.013
                      cm<sup>3</sup>/cm<sup>3</sup>. We anticipate that future
                      research on the N<sub>r</sub> can further improve the
                      accuracy of SWC and biomass estimates, and extend the
                      application of CRNS to include canopy interception, ponding
                      water, and snow water equivalent estimation for both
                      stationary and roving CRNS systems.},
      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:000450726000016},
      doi          = {10.1029/2018WR022692},
      url          = {https://juser.fz-juelich.de/record/851432},
}