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@ARTICLE{Hussain:203407,
      author       = {Hussain, Khalid and Wongleecharoen, Chalermchart and
                      Hilger, Thomas and Vanderborght, Jan and Garré, Sarah and
                      Onsamrarn, Wattanai and Sparke, Marc-André and Diels, Jan
                      and Kongkaew, Thanuchai and Cadisch, Georg},
      title        = {{C}ombining δ13{C} measurements and {ERT} imaging:
                      improving our understanding of competition at the
                      crop-soil-hedge interface},
      journal      = {Plant and soil},
      volume       = {393},
      number       = {1-2},
      issn         = {1573-5036},
      address      = {Dordrecht [u.a.]},
      publisher    = {Springer Science + Business Media B.V},
      reportid     = {FZJ-2015-05350},
      pages        = {1 - 20},
      year         = {2015},
      abstract     = {Hedgerow cropping decreases erosion in hillside agriculture
                      but also competes for water and nutrients with crops. This
                      study combined two methods for an improved understanding of
                      water and nutrient competition at the crop-soil-hedge
                      interface.δ13C isotopic discrimination in plants and soil
                      electrical resistivity tomography (ERT) imaging were used in
                      a field trial with maize monocropping (MM) vs. leucaena
                      hedgerow intercropping with and without fertilizer (MHF+ and
                      MHF−) in Thailand.Hedges significantly reduced maize grain
                      yield and aboveground biomass in rows close to hedgerows.
                      ERT revealed water depletion was stronger in MM than in MHF+
                      and MHF- confirming time domain reflectometry and leaf area
                      data. In MHF+, water depletion was higher in maize rows
                      close to the hedge compared to rows distant to hedges and
                      maize grain δ13C was significantly less negative in rows
                      close to hedges (-10.33‰) compared to distant ones
                      (-10.64‰). Lack of N increased grain δ13C in MHF-
                      (-9.32‰, p ≤ 0.001). Both methods were correlated
                      with each other (r = 0.66, p ≤ 0.001). Combining
                      ERT with grain δ13C and $\%N$ allowed identifying that
                      maize growth close to hedges was limited by N and not by
                      water supply.Combining ERT imaging and 13C isotopic
                      discrimination approaches improved the understanding of
                      spatial-temporal patterns of competition at the
                      hedge-soil-crop interface and allowed distinguishing between
                      water and N competition in maize based hedgerow systems.},
      cin          = {IBG-3},
      ddc          = {570},
      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:000358666600001},
      doi          = {10.1007/s11104-015-2455-z},
      url          = {https://juser.fz-juelich.de/record/203407},
}