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

Abstract

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 (APAR chl) and derive an estimation of the fraction of APAR chl (fPAR chl ) 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 ($$ε^{chl}_{max}$$), 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 fPAR chl , suggesting the corresponding ($$ε^{chl}_{max}$$) to have less seasonal variation. This spatio-temporal convergence of LUE derived from fPAR chl can be used to build simple but robust gross primary production models and to better constrain process-based models.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [5];  [6]; ORCiD logo [7]; ORCiD logo [8];  [9]; ORCiD logo [10]; ORCiD logo [11]; ORCiD logo [12]; ORCiD logo [13];  [14]; ORCiD logo [15]
  1. Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology and Plant Biology, Center for Spatial Analysis; Columbia Univ., New York, NY (United States). Dept. of Earth and Environmental Engineering
  2. Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology and Plant Biology, Center for Spatial Analysis; Fudan Univ., Shanghai (China). Ministry of Education Key Lab. of Biodiversity Science and Ecological Engineering, Inst. of Biodiversity Science
  3. Eidgenössische Technische Hochschule (ETH) Zurich, Zurich (Switzerland). Dept. of Environmental Systems Science
  4. Brookhaven National Lab. (BNL), Upton, NY (United States). Biological, Environmental & Climate Sciences Dept.
  5. Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology and Plant Biology, Center for Spatial Analysis
  6. Inst. of Biometeorology, National Research Council, Florence (Italy)
  7. Univ. Innsbruck (Austria). Inst. of Ecology
  8. European Commission, Ispra (Italy). Joint Research Centre
  9. Univ. of Twente, Enschede (Netherlands). Dept. of Water Resources
  10. Tsinghua Univ., Beijing (China). State Key Lab. of Hydroscience and Engineering, Dept. of Hydraulic Engineering
  11. Virginia Commonwealth Univ., Richmond, VA (United States). Dept. of Biology
  12. Columbia Univ., New York, NY (United States). Dept. of Earth and Environmental Engineering
  13. Nanjing Univ. (China). Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, International Institute for Earth System Sciences
  14. Karlsruhe Inst. of Technology (KIT) (Germany). Dept. of Atmospheric Environmental Research, Inst. for Meteorology and Climate Research
  15. Lund Univ., Lund (Sweden). Physical Geography and Ecosystem Science
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
National Science Foundation (NSF); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); FLUXNET; Natural Environment Research Council (NERC) Earth Observation Data Centre (NEODC); European Space Agency (ESA); Airbus Defence and Space; National Aeronautic and Space Administration (NASA); GFZ German Research Centre for Geosciences; USDA National Inst. for Food and Agriculture (NIFA); National Natural Science Foundation of China (NNSFC)
OSTI Identifier:
1563952
Alternate Identifier(s):
OSTI ID: 1431443
Report Number(s):
[BNL-203445-2018-JAAM]
[Journal ID: ISSN 0094-8276; ark:/13030/qt4xr425x5]
Grant/Contract Number:  
[AC02-05CH11231; SC0012704; 2013-69002-23146; 2016- 68002-24967; IIA-1301789; 80LARC17C0001; 41671421]
Resource Type:
Accepted Manuscript
Journal Name:
Geophysical Research Letters
Additional Journal Information:
[ Journal Volume: 45; Journal Issue: 8]; Journal ID: ISSN 0094-8276
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Zhang, Yao, Xiao, Xiangming, Wolf, Sebastian, Wu, Jin, Wu, Xiaocui, Gioli, Beniamino, Wohlfahrt, Georg, Cescatti, Alessandro, van der Tol, Christiaan, Zhou, Sha, Gough, Christopher M., Gentine, Pierre, Zhang, Yongguang, Steinbrecher, Rainer, and Ardö, Jonas. Spatio-Temporal Convergence of Maximum Daily Light-Use Efficiency Based on Radiation Absorption by Canopy Chlorophyll. United States: N. p., 2018. Web. doi:10.1029/2017gl076354.
Zhang, Yao, Xiao, Xiangming, Wolf, Sebastian, Wu, Jin, Wu, Xiaocui, Gioli, Beniamino, Wohlfahrt, Georg, Cescatti, Alessandro, van der Tol, Christiaan, Zhou, Sha, Gough, Christopher M., Gentine, Pierre, Zhang, Yongguang, Steinbrecher, Rainer, & Ardö, Jonas. Spatio-Temporal Convergence of Maximum Daily Light-Use Efficiency Based on Radiation Absorption by Canopy Chlorophyll. United States. doi:10.1029/2017gl076354.
Zhang, Yao, Xiao, Xiangming, Wolf, Sebastian, Wu, Jin, Wu, Xiaocui, Gioli, Beniamino, Wohlfahrt, Georg, Cescatti, Alessandro, van der Tol, Christiaan, Zhou, Sha, Gough, Christopher M., Gentine, Pierre, Zhang, Yongguang, Steinbrecher, Rainer, and Ardö, Jonas. Tue . "Spatio-Temporal Convergence of Maximum Daily Light-Use Efficiency Based on Radiation Absorption by Canopy Chlorophyll". United States. doi:10.1029/2017gl076354. https://www.osti.gov/servlets/purl/1563952.
@article{osti_1563952,
title = {Spatio-Temporal Convergence of Maximum Daily Light-Use Efficiency Based on Radiation Absorption by Canopy Chlorophyll},
author = {Zhang, Yao and Xiao, Xiangming and Wolf, Sebastian and Wu, Jin and Wu, Xiaocui and Gioli, Beniamino and Wohlfahrt, Georg and Cescatti, Alessandro and van der Tol, Christiaan and Zhou, Sha and Gough, Christopher M. and Gentine, Pierre and Zhang, Yongguang and Steinbrecher, Rainer and Ardö, Jonas},
abstractNote = {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 APAR chl (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 ($ε^{chl}_{max}$), 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 ($ε^{chl}_{max}$) to have less seasonal variation. This spatio-temporal convergence of LUE derived from fPAR chl can be used to build simple but robust gross primary production models and to better constrain process-based models.},
doi = {10.1029/2017gl076354},
journal = {Geophysical Research Letters},
number = [8],
volume = [45],
place = {United States},
year = {2018},
month = {4}
}

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Figures / Tables:

Figure 1 Figure 1: Relationships between fPARSIF and four optical vegetation activity indicators. Each point represents the average value of all the gridcells within a specific land cover type for either the northern or southern hemisphere for each month. Land cover types were aggregated from Moderate Resolution Imaging Spectroradiometer land cover mapmore » (Text S4 and Figure S10). Two hemispheres were calculated separately because of different phenological cycles. The solid lines represent regressions for the northern hemisphere, and the dashed lines represent regressions for the southern hemisphere. The coefficients of determination for each regression are given in the lower‐right corner. The four horizontal lines with dots below fPARSIF = 0 (lower left corner) represent the mean value and standard deviation of the regression intercepts between the fPARSIF and optical vegetation activity indicators in the temporal domain for individual pixel grouped by different land cover types (Figure S6; Friedl et al., 2010).« less

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