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@ARTICLE{Damm:852604,
      author       = {Damm, A. and Paul-Limoges, E. and Haghighi, E. and Simmer,
                      C. and Morsdorf, F. and Schneider, F. D. and van der Tol, C.
                      and Migliavacca, M. and Rascher, U.},
      title        = {{R}emote sensing of plant-water relations: {A}n overview
                      and future perspectives},
      journal      = {Journal of plant physiology},
      volume       = {227},
      issn         = {0176-1617},
      address      = {München},
      publisher    = {Elsevier},
      reportid     = {FZJ-2018-05508},
      pages        = {3 - 19},
      year         = {2018},
      abstract     = {Vegetation is a highly dynamic component of the Earth
                      surface and substantially alters the water cycle.
                      Particularly the process of oxygenic plant photosynthesis
                      determines vegetation connecting the water and carbon cycle
                      and causing various interactions and feedbacks across Earth
                      spheres. While vegetation impacts the water cycle, it reacts
                      to changing water availability via functional, biochemical
                      and structural responses. Unravelling the resulting complex
                      feedbacks and interactions between the plant-water system
                      and environmental change is essential for any modelling
                      approaches and predictions, but still insufficiently
                      understood due to currently missing observations. We
                      hypothesize that an appropriate cross-scale monitoring of
                      plant-water relations can be achieved by combined
                      observational and modelling approaches. This paper reviews
                      suitable remote sensing approaches to assess plant-water
                      relations ranging from pure observational to combined
                      observational-modelling approaches. We use a combined energy
                      balance and radiative transfer model to assess the
                      explanatory power of pure observational approaches focussing
                      on plant parameters to estimate plant-water relations,
                      followed by an outline for a more effective use of remote
                      sensing by their integration into soil-plant-atmosphere
                      continuum (SPAC) models. We apply a mechanistic model
                      simulating water movement in the SPAC to reveal insight into
                      the complexity of relations between soil, plant and
                      atmospheric parameters, and thus plant-water relations. We
                      conclude that future research should focus on strategies
                      combining observations and mechanistic modelling to advance
                      our knowledge on the interplay between the plant-water
                      system and environmental change, e.g. through plant
                      transpiration.},
      cin          = {IBG-2},
      ddc          = {580},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582)},
      pid          = {G:(DE-HGF)POF3-582},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29735177},
      UT           = {WOS:000439100400002},
      doi          = {10.1016/j.jplph.2018.04.012},
      url          = {https://juser.fz-juelich.de/record/852604},
}