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@PHDTHESIS{Wiekenkamp:888336,
      author       = {Wiekenkamp, Inge},
      title        = {{M}easuring and modelling spatiotemporal changes in
                      hydrological response after partial deforestation},
      volume       = {519},
      school       = {Universität Stuttgart},
      type         = {Dissertation},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2020-04855},
      isbn         = {978-3-95806-512-3},
      series       = {Schriften des Forschungszentrums Jülich. Reihe Energie
                      $\&$ Umwelt / Energy $\&$ Environment},
      pages        = {xxxvii, 276 S.},
      year         = {2020},
      note         = {Universität Stuttgart, Diss., 2020},
      abstract     = {Vegetation plays an important role in the hydrological
                      cycle, as it governs the partitioning of water fluxes and
                      therewith affects the functioning of the system.
                      Deforestation can cause a highly non-linear response of the
                      natural system and may change the interaction between the
                      land surface and the atmosphere, flow conditions,
                      groundwater recharge and soil moisture storage, which in
                      turn affects the quality and amount of available water
                      resources. To be able to predict changes of deforestation
                      and other land use management activities, there is a need
                      for comprehensive understanding of the hydrological effects
                      of such activities. Although the effects of land use change
                      on hydrology have been studied intensively, predicting the
                      effects of land use change on hydrological states and fluxes
                      remains challenging. Existing paired catchment studies
                      mostly focus on yearly discharge, often do not consider
                      changes in subsurface storage and evapotranspiration, and
                      lack information at the intra-annual time scale.
                      Additionally, soil hydrological processes are often not
                      considered. Thus, only few datasets are available to
                      accurately describe, model, and predict detailed changes in
                      spatiotemporal patterns of hydrological fluxes and states
                      due to land use change. [...]},
      cin          = {IBG-3},
      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)3 / PUB:(DE-HGF)11},
      url          = {https://juser.fz-juelich.de/record/888336},
}