% 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{Zhou:153892,
      author       = {Zhou, Minghua and Zhu, Bo and Brüggemann, Nicolas and
                      Bergmann, Jessica and Wang, Yanqiang and Butterbach-Bahl,
                      Klaus},
      title        = {{N}$_{2}${O} and {CH}$_{4}$ {E}missions, and {NO}$_{3}$ −
                      {L}eaching on a {C}rop-{Y}ield {B}asis from a {S}ubtropical
                      {R}ain-fed {W}heat–{M}aize {R}otation in {R}esponse to
                      {D}ifferent {T}ypes of {N}itrogen {F}ertilizer},
      journal      = {Ecosystems},
      volume       = {17},
      number       = {2},
      issn         = {1435-0629},
      address      = {New York, NY},
      publisher    = {Springer},
      reportid     = {FZJ-2014-03363},
      pages        = {286 - 301},
      year         = {2014},
      abstract     = {Guaranteeing high crop yields while reducing environmental
                      impacts of nitrogen fertilizer use due to associated losses
                      of N2O emissions and nitrate (NO3 −) leaching is a key
                      challenge in the context of sustainable intensification of
                      crop production. However, few field data sets are available
                      that explore the effect of different forms of N management
                      on yields as well as on N losses in the form of N2O or NO3
                      −. Here we report on a large-scale field lysimeter (8 × 4
                      m2) experiment, which was designed to determine soil CH4 and
                      N2O emissions, NO3 − leaching losses and crop yields from
                      a subtropical rain-fed wheat–maize rotation in the Sichuan
                      Basin, one of the most intensively used agricultural regions
                      in China. One control and three different fertilizer
                      treatments with the same total rate of N application (280 kg
                      N ha−1 y−1) were included: NF: control (no fertilizer);
                      NPK: synthetic N fertilizer; OMNPK: synthetic N fertilizer
                      plus pig manure; RSDNPK: synthetic N fertilizer plus crop
                      residues. As compared to the standard NPK treatment, annual
                      NO3 − leaching losses for OMNPK and RSDNPK treatments were
                      decreased by 36 and $22\%,$ respectively (P < 0.05).
                      Similarly, crop yield-scaled NO3 − leaching for NPK
                      treatment was higher than those for either OMNPK or RSDNPK
                      treatments (P < 0.05). Direct N2O emissions for RSDNPK
                      treatment were decreased as compared with NPK and OMNPK
                      treatments (P < 0.05). Furthermore, the yield-scaled GWP
                      (global warming potential) was lower for the treatments
                      where either pig manure or crop residues were incorporated
                      as compared to the standard NPK treatment (P < 0.05). Our
                      study indicates that it is possible to reduce the negative
                      environmental impact of NO3 − leaching and N2O emissions
                      without compromising crop productivity. Yield-scaled NO3 −
                      leaching, similar to the yield-scaled GWP, represents
                      another valuable-integrated metric to address the dual goals
                      of reducing nitrogen pollution and maintaining crop grain
                      yield for a given agricultural system.},
      cin          = {IBG-3},
      ddc          = {570},
      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:000332001500007},
      doi          = {10.1007/s10021-013-9723-7},
      url          = {https://juser.fz-juelich.de/record/153892},
}