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@ARTICLE{Sun:1018027,
      author       = {Sun, Ying and Wen, Jiaming and Gu, Lianhong and Joiner,
                      Joanna and Chang, Christine Y. and van der Tol, Christiaan
                      and Porcar-Castell, Albert and Magney, Troy and Wang, Lixin
                      and Hu, Leiqiu and Rascher, Uwe and Zarco-Tejada, Pablo and
                      Barrett, Christopher B. and Lai, Jiameng and Han, Jimei and
                      Luo, Zhenqi},
      title        = {{F}rom remotely‐sensed solar‐induced chlorophyll
                      fluorescence to ecosystem structure, function, and service:
                      {P}art {II}—{H}arnessing data},
      journal      = {Global change biology},
      volume       = {29},
      number       = {11},
      issn         = {1354-1013},
      address      = {Oxford [u.a.]},
      publisher    = {Wiley-Blackwell},
      reportid     = {FZJ-2023-04490},
      pages        = {2893 - 2925},
      year         = {2023},
      abstract     = {Although our observing capabilities of solar-induced
                      chlorophyll fluorescence (SIF) have been growing rapidly,
                      the quality and consistency of SIF datasets are still in an
                      active stage of research and development. As a result, there
                      are considerable inconsistencies among diverse SIF datasets
                      at all scales and the widespread applications of them have
                      led to contradictory findings. The present review is the
                      second of the two companion reviews, and data oriented. It
                      aims to (1) synthesize the variety, scale, and uncertainty
                      of existing SIF datasets, (2) synthesize the diverse
                      applications in the sector of ecology, agriculture,
                      hydrology, climate, and socioeconomics, and (3) clarify how
                      such data inconsistency superimposed with the theoretical
                      complexities laid out in (Sun et al., 2023) may impact
                      process interpretation of various applications and
                      contribute to inconsistent findings. We emphasize that
                      accurate interpretation of the functional relationships
                      between SIF and other ecological indicators is contingent
                      upon complete understanding of SIF data quality and
                      uncertainty. Biases and uncertainties in SIF observations
                      can significantly confound interpretation of their
                      relationships and how such relationships respond to
                      environmental variations. Built upon our syntheses, we
                      summarize existing gaps and uncertainties in current SIF
                      observations. Further, we offer our perspectives on
                      innovations needed to help improve informing ecosystem
                      structure, function, and service under climate change,
                      including enhancing in-situ SIF observing capability
                      especially in "data desert" regions, improving
                      cross-instrument data standardization and network
                      coordination, and advancing applications by fully harnessing
                      theory and data.},
      cin          = {IBG-2},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {36802124},
      UT           = {WOS:000950362600001},
      doi          = {10.1111/gcb.16646},
      url          = {https://juser.fz-juelich.de/record/1018027},
}