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@ARTICLE{Tagliabue:885473,
      author       = {Tagliabue, Giulia and Panigada, Cinzia and Celesti, Marco
                      and Cogliati, Sergio and Colombo, Roberto and Migliavacca,
                      Mirco and Rascher, Uwe and Rocchini, Duccio and
                      Schüttemeyer, Dirk and Rossini, Micol},
      title        = {{S}un–induced fluorescence heterogeneity as a measure of
                      functional diversity},
      journal      = {Remote sensing of environment},
      volume       = {247},
      issn         = {0034-4257},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2020-03856},
      pages        = {111934 -},
      year         = {2020},
      abstract     = {Plant functional diversity, defined as the range of plant
                      chemical, physiological and structural properties within
                      plants, is a key component of biodiversity which controls
                      the ecosystem functioning and stability. Monitoring its
                      variations across space and over time is critical in
                      ecological studies. So far, several reflectance-based
                      metrics have been tested to achieve this objective, yielding
                      different degrees of success. Our work aimed at exploring
                      the potential of a novel metric based on far-red sun-induced
                      chlorophyll fluorescence (F760) to map the functional
                      diversity of terrestrial ecosystems. This was achieved
                      exploiting high-resolution images collected over a mixed
                      forest ecosystem with the HyPlant sensor, deployed as an
                      airborne demonstrator of the forthcoming ESA-FLEX satellite.
                      A reference functional diversity map was obtained applying
                      the Rao's Q entropy metric on principal components
                      calculated on key plant functional trait maps retrieved from
                      the hyperspectral reflectance cube. Based on the spectral
                      variation hypothesis, which states that the biodiversity
                      signal is encoded in the spectral heterogeneity, two moving
                      window-based approaches were tested to estimate the
                      functional diversity from continuous spectral data: i) the
                      Rao's Q entropy metric calculated on the normalized
                      difference vegetation index (NDVI) and ii) the coefficient
                      of variation (CV) calculated on hyperspectral reflectance.
                      Finally, a third moving window approach was used to estimate
                      the functional diversity based on F760 heterogeneity
                      quantified through the calculation of the Rao's Q entropy
                      metric.Results showed a strong underestimation of the
                      functional diversity using the Rao's Q index based on NDVI
                      and the CV of reflectance. In both cases, a weak correlation
                      was found against the reference functional diversity map (r2
                      = 0.05, p < .001 and r2 = 0.04, p < .001, respectively).
                      Conversely, the Rao's Q index calculated on F760 revealed
                      similar patterns as the ones observed in the reference map
                      and a better correlation (r2 = 0.5, p < .001). This
                      corroborates the potential of far-red F for assessing the
                      functional diversity of terrestrial ecosystems, opening
                      unprecedented perspectives for biodiversity monitoring
                      across different spatial and temporal scales.},
      cin          = {IBG-2},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582)},
      pid          = {G:(DE-HGF)POF3-582},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000549189200034},
      doi          = {10.1016/j.rse.2020.111934},
      url          = {https://juser.fz-juelich.de/record/885473},
}