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@ARTICLE{Klosterhalfen:861629,
      author       = {Klosterhalfen, Anne and Graf, Alexander and Brüggemann,
                      Nicolas and Drüe, Clemens and Esser, Odilia and
                      González-Dugo, María P. and Heinemann, Günther and
                      Jacobs, Cor M. J. and Mauder, Matthias and Moene, Arnold F.
                      and Ney, Patrizia and Pütz, Thomas and Rebmann, Corinna and
                      Ramos Rodríguez, Mario and Scanlon, Todd M. and Schmidt,
                      Marius and Steinbrecher, Rainer and Thomas, Christoph K. and
                      Valler, Veronika and Zeeman, Matthias J. and Vereecken,
                      Harry},
      title        = {{S}ource partitioning of {H}2{O} and {CO}2 fluxes based on
                      high-frequency eddy covariance data: a comparison between
                      study sites},
      journal      = {Biogeosciences},
      volume       = {16},
      number       = {6},
      issn         = {1726-4189},
      address      = {Katlenburg-Lindau [u.a.]},
      publisher    = {Copernicus},
      reportid     = {FZJ-2019-02075},
      pages        = {1111 - 1132},
      year         = {2019},
      abstract     = {For an assessment of the roles of soil and vegetation in
                      the climate system, a further understanding of the
                      fluxcomponents of H2O and CO2 (e.g., transpiration, soil
                      respiration) and their interaction with physical conditions
                      andphysiological functioning of plants and ecosystems is
                      necessary. To obtain magnitudes of these flux components, we
                      appliedsource partitioning approaches after Scanlon and
                      Kustas (2010; SK10) and after Thomas et al. (2008; TH08)
                      tohigh-frequency eddy covariance measurements of 12 study
                      sites covering different ecosystems (croplands,
                      grasslands,and forests) in different climatic regions. Both
                      partitioning methods are based on higher-order statistics of
                      the H2O andCO2 fluctuations, but proceed differently to
                      estimate transpiration, evaporation, net primary production,
                      and soil respiration.We compared and evaluated the
                      partitioning results obtained with SK10 and TH08, including
                      slight modificationsof both approaches. Further, we analyzed
                      the interrelations among the performance of the partitioning
                      methods, turbulencecharacteristics, and site characteristics
                      (such as plant cover type, canopy height, canopy density,
                      and measurement height).We were able to identify
                      characteristics of a data set that are prerequisites for
                      adequate performance of the $partitioningmethods.\\SK10$ had
                      the tendency to overestimate and TH08 to underestimate soil
                      flux components. For both methods, the partitioningof CO2
                      fluxes was less robust than for H2O fluxes. Results derived
                      with SK10 showed relatively large dependencieson estimated
                      water use efficiency (WUE) at the leaf level, which is a
                      required input. Measurements of outgoinglongwave radiation
                      used for the estimation of foliage temperature (used in WUE)
                      could slightly increase the qualityof the partitioning
                      results. A modification of the TH08 approach, by applying a
                      cluster analysis for the conditionalsampling of
                      respiration–evaporation events, performed satisfactorily,
                      but did not result in significant advantages comparedto the
                      original method versions developed by Thomas et al. (2008).
                      The performance of each partitioning approachwas dependent
                      on meteorological conditions, plant development, canopy
                      height, canopy density, and measurementheight. Foremost, the
                      performance of SK10 correlated negatively with the ratio
                      between measurement height and canopyheight. The performance
                      of TH08 was more dependent on canopy height and leaf area
                      index. In general, all site characteristicsthat increase
                      dissimilarities between scalars appeared to enhance
                      partitioning performance for SK10 and TH08.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255) / IDAS-GHG - Instrumental and Data-driven
                      Approaches to Source-Partitioning of Greenhouse Gas Fluxes:
                      Comparison, Combination, Advancement (BMBF-01LN1313A) /
                      TERENO - Terrestrial Environmental Observatories
                      (TERENO-2008)},
      pid          = {G:(DE-HGF)POF3-255 / G:(DE-Juel1)BMBF-01LN1313A /
                      G:(DE-HGF)TERENO-2008},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000461618700002},
      doi          = {10.5194/bg-16-1111-2019},
      url          = {https://juser.fz-juelich.de/record/861629},
}