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@ARTICLE{Chen:885505,
      author       = {Chen, Bin J. W. and During, Heinjo J. and Vermeulen, Peter
                      J. and Kroon, Hans and Poorter, Hendrik and Anten, Niels P.
                      R.},
      title        = {{T}he analysis of plant root responses to nutrient
                      concentration, soil volume and neighbour presence:
                      {D}ifferent statistical approaches reflect different
                      underlying basic questions},
      journal      = {Functional ecology},
      volume       = {34},
      number       = {10},
      issn         = {1365-2435},
      address      = {Oxford [u.a.]},
      publisher    = {Wiley-Blackwell},
      reportid     = {FZJ-2020-03885},
      pages        = {2210 - 2217},
      year         = {2020},
      abstract     = {To investigate the responses of plants to their
                      below‐ground neighbours independently of nutrient
                      availability, experiments generally require a solitary
                      treatment with one plant grown alone with one unit of
                      nutrients, and a neighbour treatment with two plants grown
                      together with two units of nutrients. This can either be
                      done by doubling nutrient concentration (C) or by doubling
                      soil volume (V) in the neighbour treatment as compared to
                      the solitary treatment. Statistically analysing the same
                      dataset from an experiment that grew plants in solitary or
                      neighbour treatment with a series of V given a fixed amount
                      of nutrients per plant (e.g. 1 g), Chen et al. (2015a) found
                      significant neighbour effects when they controlled for V,
                      while McNickle (2020) found the effects to be insignificant
                      when he controlled for C. The discrepancy in the results of
                      the two studies is caused by a difference in their
                      analytical approaches. This includes (a) different choices
                      of data transformation for the controlling factor, and (b) a
                      mathematical deviation of model structures between V‐based
                      and C‐based analyses, due to the different inversely
                      proportional V‐C relationships between solitary
                      urn:x-wiley:02698463:media:fec13664:fec13664-math-0001 and
                      neighbour
                      urn:x-wiley:02698463:media:fec13664:fec13664-math-0002
                      treatments. Choices for either V or C as a controlling
                      factor in the analyses for ‘neighbour effect’ are based
                      on two different perspectives, focussing either on
                      neighbour‐induced nutrient depletion (like McNickle, 2020)
                      or on identity recognition (like Chen et al., 2015a). We
                      also raise concerns about the use of mesh‐divided root
                      interaction design and replacement series design in the
                      studies of plant–plant root interactions. We propose to
                      adjust the experimental designs and analytical methods based
                      on the focal perspectives of neighbour effect.},
      cin          = {IBG-2},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582) / 2171 - Biological and
                      environmental resources for sustainable use (POF4-217)},
      pid          = {G:(DE-HGF)POF3-582 / G:(DE-HGF)POF4-2171},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000575479500018},
      doi          = {10.1111/1365-2435.13664},
      url          = {https://juser.fz-juelich.de/record/885505},
}