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Spatio-Temporal Convergence of Maximum Daily Light-Use Efficiency Based on Radiation Absorption by Canopy Chlorophyll

  • Yao Zhang
  • Xiangming Xiao
  • Sebastian Wolf
  • Jin Wu
  • Xiaocui Wu
  • Beniamino Gioli
  • Georg Wohlfahrt
  • Alessandro Cescatti
  • Christiaan van der Tol
  • Sha Zhou
  • Christopher M. Gough
  • Pierre Gentine
  • Yongguang Zhang
  • Rainer Steinbrecher
  • Jonas Ardö
Publishing year: 2018-04-28
Language: English
Pages: 3508-3519
Publication/Series: Geophysical Research Letters
Volume: 45
Issue: 8
Document type: Journal article
Publisher: American Geophysical Union (AGU)

Abstract english

Light-use efficiency (LUE), which quantifies the plants' efficiency in utilizing solar radiation for photosynthetic carbon fixation, is an important factor for gross primary production estimation. Here we use satellite-based solar-induced chlorophyll fluorescence as a proxy for photosynthetically active radiation absorbed by chlorophyll (APARchl) and derive an estimation of the fraction of APARchl (fPARchl) from four remotely sensed vegetation indicators. By comparing maximum LUE estimated at different scales from 127 eddy flux sites, we found that the maximum daily LUE based on PAR absorption by canopy chlorophyll ( εmaxchl), unlike other expressions of LUE, tends to converge across biome types. The photosynthetic seasonality in tropical forests can also be tracked by the change of fPARchl, suggesting the corresponding εmaxchl to have less seasonal variation. This spatio-temporal convergence of LUE derived from fPARchl can be used to build simple but robust gross primary production models and to better constrain process-based models.


  • Geophysics
  • Fraction of absorbed photosynthetic active radiation
  • Gross primary productivity
  • Optical vegetation activity indicator
  • Photosynthetic capacity
  • Production efficiency models
  • Solar-induced chlorophyll fluorescence


  • ISSN: 0094-8276
E-mail: jonas [dot] ardo [at] nateko [dot] lu [dot] se


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Dept of Physical Geography and Ecosystem Science


Department of Physical Geography and Ecosystem Science
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