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@ARTICLE{Fti:138296,
      author       = {Fóti, Szilvia and Balogh, János and Nagy, Zoltán and
                      Herbst, Michael and Pintér, Krisztina and Péli, Evelin and
                      Koncz, Péter and Bartha, Sándor},
      title        = {{S}oil moisture induced changes on fine-scale spatial
                      pattern of soil respiration in a semi-arid sandy grassland},
      journal      = {Geoderma},
      volume       = {213},
      issn         = {0016-7061},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2013-04452},
      pages        = {245 - 254},
      year         = {2014},
      abstract     = {High variability of soil respiration measured at fine
                      spatial scale increases the uncertainty when trying to
                      deter- mine the representative average soil respiration (Rs)
                      flux. A possible way to decrease the uncertainty, while also
                      optimising measurement effort, could be the calculation of
                      required number of Rs measurements (Nopt) together with the
                      optimisation of their spatial arrangement. The goals of this
                      study were to find explanatory variables of the structural
                      parameters of fine-scale Rs spatial pattern and of Nopt for
                      sampling optimisation. We conducted field Rs, soil
                      temperature (Ts) and soil water content (SWC) measurements
                      in a Hungarian sandy pasture over several years along
                      circular transects of 75 evenly spaced (20 cm distance)
                      sampling positions. Structural param- eters of patterns of
                      Rs and the covariates were determined from variograms.
                      Ranges of spatial autocorrelation varied between 0 and 3.6 m
                      for Rs, 0 and 3 m for SWC and 0 and 2.9 m for Ts. Patch size
                      of Rs depended negatively on transect average SWC. To
                      understand and quantify the spatial dependence of variables,
                      cross-variograms were calculated. Rs proved to be positively
                      spatially correlated to SWC at low water supply, while Ts-Rs
                      and SWC-Ts spatial correlations were mostly negative, both
                      due the direct effect of evaporative cooling on Ts. We found
                      that spatial patchiness became less robust and the
                      correlations generally decreased as soil moisture content
                      was high. We found that explanatory variable of Nopt was
                      also SWC, with negative correlation between them. We
                      conclude that sampling could be optimized on the basis of
                      the easily measurable actual SWC, which deter- mines both
                      the optimal number of Rs measurements and the minimum
                      distances between individual samples in semi-arid
                      ecosystems.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {246 - Modelling and Monitoring Terrestrial Systems: Methods
                      and Technologies (POF2-246)},
      pid          = {G:(DE-HGF)POF2-246},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000329594800028},
      doi          = {10.1016/j.geoderma.2013.08.009},
      url          = {https://juser.fz-juelich.de/record/138296},
}