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Title: Global parameterization and validation of a two‐leaf light use efficiency model for predicting gross primary production across FLUXNET sites

Abstract

Light use efficiency (LUE) models are widely used to simulate gross primary production (GPP). However, the treatment of the plant canopy as a big leaf by these models can introduce large uncertainties in simulated GPP. Recently, a two-leaf light use efficiency (TL-LUE) model was developed to simulate GPP separately for sunlit and shaded leaves and has been shown to outperform the big-leaf MOD17 model at 6 FLUX sites in China. In this study we investigated the performance of the TL-LUE model for a wider range of biomes. For this we optimized the parameters and tested the TL-LUE model using data from 98 FLUXNET sites which are distributed across the globe. The results showed that the TL-LUE model performed in general better than the MOD17 model in simulating 8-day GPP. Optimized maximum light use efficiency of shaded leaves (εmsh) was 2.63 to 4.59 times that of sunlit leaves (εmsu). Generally, the relationships of εmsh and εmsu with εmax were well described by linear equations, indicating the existence of general patterns across biomes. GPP simulated by the TL-LUE model was much less sensitive to biases in the photosynthetically active radiation (PAR) input than the MOD17 model. The results of this study suggestmore » that the proposed TL-LUE model has the potential for simulating regional and global GPP of terrestrial ecosystems and it is more robust with regard to usual biases in input data than existing approaches which neglect the bi-modal within-canopy distribution of PAR.« less

Authors:
 [1];  [2];  [3];  [2];  [4];  [4];  [5];  [6];  [6];  [7];  [8];  [9];  [10];  [11];  [12];  [4];  [13];  [14];  [15];  [16] more »;  [17];  [18];  [19];  [20];  [21];  [22];  [23];  [24];  [25];  [26];  [27];  [28];  [29];  [30] « less
  1. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, School of Geographic and Oceanographic SciencesNanjing University Nanjing China, Joint Center for Global Change Studies Beijing China
  2. Joint Center for Global Change Studies Beijing China, International Institute for Earth System SciencesNanjing University Nanjing China
  3. International Institute for Earth System SciencesNanjing University Nanjing China, Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application Nanjing China
  4. Key Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science Beijing China
  5. State Key Laboratory of Earth Surface Processes and Resource EcologyFuture Earth Research Institute, Beijing Normal University Beijing China
  6. Faculty of Land and Food SystemsUniversity of British Columbia Vancouver British Columbia Canada
  7. Department of Environmental EngineeringTechnical University of Denmark (DTU) Kgs. Lyngby Denmark
  8. Institute of Applied EcologyChinese Academy of Sciences Shenyang China
  9. South China Botanical GardenChinese Academy of Sciences Guangzhou China
  10. Centre for Forest StudiesFaculty of Forestry, Geography and Geomatics, Laval University Quebec City Quebec Canada
  11. CIRAD‐PersystUMR Ecologie Fonctionnelle and Biogéochimie des Sols et Agroécosystèmes, SupAgro‐CIRAD‐INRA‐IRD Montpellier France, CATIE (Tropical Agricultural Centre for Research and Higher Education) Turrialba Costa Rica
  12. Northwest Institute of Plateau BiologyChinese Academy of Sciences Xining China
  13. Environmental Research Institute, Civil and Environmental Engineering DepartmentUniversity College Cork Cork Ireland
  14. Department of Biological SciencesUniversity of Alabama Tuscaloosa Alabama USA
  15. Laboratory of Plants Ecological PhysiologyInstitute of Systems Biology and Ecology AS CR Prague Czech Republic
  16. Forest ServicesAutonomous Province of Bolzano Bolzano Italy, Faculty of Sciences and TechnologyFree University of Bolzano Bolzano Italy
  17. Institute for EcologyUniversity of Innsbruck Innsbruck Austria, European Academy of Bolzano Bolzano Italy
  18. Grassland Sciences GroupInstitute of Agricultural Sciences ETH Zurich Switzerland
  19. Atmospheric and Climate Research Program, Environmental Science DivisionArgonne National Laboratory Argonne Illinois USA
  20. McMaster Centre for Climate Change and School of Geography and Earth SciencesMcMaster University Hamilton Ontario Canada
  21. INRA NancyUMR EEF Champenoux France
  22. School of Earth and EnvironmentThe University of Western Australia Crawley Australia
  23. Department of GeographyUniversity of Colorado Boulder Boulder Colorado USA
  24. UMR ECOSYSINRA, AgroParisTech, Université Paris‐Saclay Thiverval‐Grignon France
  25. Department of Crop and Soil Sciences, College of Agricultural and Environmental SciencesUniversity of Georgia Athens Georgia USA
  26. Viea San Camillo Ed LellisViterboUniversity of Tuscia Viterbo Italy
  27. MTA‐SZIE Plant Ecology Research GroupSzent Istvan University Godollo Hungary
  28. Meteorology DepartmentPoznan University of Life Sciences Poznan Poland, Department of Matter and Energy FluxesGlobal Change Research Center Brno Czech Republic
  29. Department of Land, Air and Water ResourcesUniversity of California Davis California USA, Joint Program on the Science and Policy of Global ChangeMassachusetts Institute of Technology Cambridge USA
  30. A.N. Severtsov Institute of Ecology and EvolutionRussian Academy of Sciences Moscow Russia
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); National Natural Science Foundation of China (NNSFC); Chinese Academy of Sciences (CAS); National Science Foundation (NSF)
OSTI Identifier:
1246570
Alternate Identifier(s):
OSTI ID: 1246571; OSTI ID: 1287442
Grant/Contract Number:  
AC02-06CH11357; 41371070; CCSF201412; XDA05050602-1; EF1137306/MIT; DBI-0620409; DEB-9910514; FG02-04ER63917; FG02-04ER63911
Resource Type:
Published Article
Journal Name:
Journal of Geophysical Research. Biogeosciences
Additional Journal Information:
Journal Name: Journal of Geophysical Research. Biogeosciences Journal Volume: 121 Journal Issue: 4; Journal ID: ISSN 2169-8953
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; FLUXNET; MODIS; gross primary productivity; sunlit and shaded leaves; two-leaf light use efficiency model

Citation Formats

Zhou, Yanlian, Wu, Xiaocui, Ju, Weimin, Chen, Jing M., Wang, Shaoqiang, Wang, Huimin, Yuan, Wenping, Andrew Black, T., Jassal, Rachhpal, Ibrom, Andreas, Han, Shijie, Yan, Junhua, Margolis, Hank, Roupsard, Olivier, Li, Yingnian, Zhao, Fenghua, Kiely, Gerard, Starr, Gregory, Pavelka, Marian, Montagnani, Leonardo, Wohlfahrt, Georg, D'Odorico, Petra, Cook, David, Arain, M. Altaf, Bonal, Damien, Beringer, Jason, Blanken, Peter D., Loubet, Benjamin, Leclerc, Monique Y., Matteucci, Giorgio, Nagy, Zoltan, Olejnik, Janusz, Paw U, Kyaw Tha, and Varlagin, Andrej. Global parameterization and validation of a two‐leaf light use efficiency model for predicting gross primary production across FLUXNET sites. United States: N. p., 2015. Web. doi:10.1002/2014JG002876.
Zhou, Yanlian, Wu, Xiaocui, Ju, Weimin, Chen, Jing M., Wang, Shaoqiang, Wang, Huimin, Yuan, Wenping, Andrew Black, T., Jassal, Rachhpal, Ibrom, Andreas, Han, Shijie, Yan, Junhua, Margolis, Hank, Roupsard, Olivier, Li, Yingnian, Zhao, Fenghua, Kiely, Gerard, Starr, Gregory, Pavelka, Marian, Montagnani, Leonardo, Wohlfahrt, Georg, D'Odorico, Petra, Cook, David, Arain, M. Altaf, Bonal, Damien, Beringer, Jason, Blanken, Peter D., Loubet, Benjamin, Leclerc, Monique Y., Matteucci, Giorgio, Nagy, Zoltan, Olejnik, Janusz, Paw U, Kyaw Tha, & Varlagin, Andrej. Global parameterization and validation of a two‐leaf light use efficiency model for predicting gross primary production across FLUXNET sites. United States. doi:https://doi.org/10.1002/2014JG002876
Zhou, Yanlian, Wu, Xiaocui, Ju, Weimin, Chen, Jing M., Wang, Shaoqiang, Wang, Huimin, Yuan, Wenping, Andrew Black, T., Jassal, Rachhpal, Ibrom, Andreas, Han, Shijie, Yan, Junhua, Margolis, Hank, Roupsard, Olivier, Li, Yingnian, Zhao, Fenghua, Kiely, Gerard, Starr, Gregory, Pavelka, Marian, Montagnani, Leonardo, Wohlfahrt, Georg, D'Odorico, Petra, Cook, David, Arain, M. Altaf, Bonal, Damien, Beringer, Jason, Blanken, Peter D., Loubet, Benjamin, Leclerc, Monique Y., Matteucci, Giorgio, Nagy, Zoltan, Olejnik, Janusz, Paw U, Kyaw Tha, and Varlagin, Andrej. Mon . "Global parameterization and validation of a two‐leaf light use efficiency model for predicting gross primary production across FLUXNET sites". United States. doi:https://doi.org/10.1002/2014JG002876.
@article{osti_1246570,
title = {Global parameterization and validation of a two‐leaf light use efficiency model for predicting gross primary production across FLUXNET sites},
author = {Zhou, Yanlian and Wu, Xiaocui and Ju, Weimin and Chen, Jing M. and Wang, Shaoqiang and Wang, Huimin and Yuan, Wenping and Andrew Black, T. and Jassal, Rachhpal and Ibrom, Andreas and Han, Shijie and Yan, Junhua and Margolis, Hank and Roupsard, Olivier and Li, Yingnian and Zhao, Fenghua and Kiely, Gerard and Starr, Gregory and Pavelka, Marian and Montagnani, Leonardo and Wohlfahrt, Georg and D'Odorico, Petra and Cook, David and Arain, M. Altaf and Bonal, Damien and Beringer, Jason and Blanken, Peter D. and Loubet, Benjamin and Leclerc, Monique Y. and Matteucci, Giorgio and Nagy, Zoltan and Olejnik, Janusz and Paw U, Kyaw Tha and Varlagin, Andrej},
abstractNote = {Light use efficiency (LUE) models are widely used to simulate gross primary production (GPP). However, the treatment of the plant canopy as a big leaf by these models can introduce large uncertainties in simulated GPP. Recently, a two-leaf light use efficiency (TL-LUE) model was developed to simulate GPP separately for sunlit and shaded leaves and has been shown to outperform the big-leaf MOD17 model at 6 FLUX sites in China. In this study we investigated the performance of the TL-LUE model for a wider range of biomes. For this we optimized the parameters and tested the TL-LUE model using data from 98 FLUXNET sites which are distributed across the globe. The results showed that the TL-LUE model performed in general better than the MOD17 model in simulating 8-day GPP. Optimized maximum light use efficiency of shaded leaves (εmsh) was 2.63 to 4.59 times that of sunlit leaves (εmsu). Generally, the relationships of εmsh and εmsu with εmax were well described by linear equations, indicating the existence of general patterns across biomes. GPP simulated by the TL-LUE model was much less sensitive to biases in the photosynthetically active radiation (PAR) input than the MOD17 model. The results of this study suggest that the proposed TL-LUE model has the potential for simulating regional and global GPP of terrestrial ecosystems and it is more robust with regard to usual biases in input data than existing approaches which neglect the bi-modal within-canopy distribution of PAR.},
doi = {10.1002/2014JG002876},
journal = {Journal of Geophysical Research. Biogeosciences},
number = 4,
volume = 121,
place = {United States},
year = {2015},
month = {12}
}

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DOI: https://doi.org/10.1002/2014JG002876

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journal, October 2010

  • Glenn, Edward P.; Nagler, Pamela L.; Huete, Alfredo R.
  • Surveys in Geophysics, Vol. 31, Issue 6
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Overview of ChinaFLUX and evaluation of its eddy covariance measurement
journal, April 2006


Response of carbon fluxes to drought in a coastal plain loblolly pine forest: DROUGHT AND CARBON FLUXES IN A COASTAL PLAIN FOREST
journal, January 2010


Preliminary analysis of spatiotemporal pattern of global land surface water
journal, August 2014


Effects of diffuse radiation on canopy gas exchange processes in a forest ecosystem: DIFFUSE RADIATION EFFECTS IN FOREST
journal, May 2008

  • Knohl, Alexander; Baldocchi, Dennis D.
  • Journal of Geophysical Research: Biogeosciences, Vol. 113, Issue G2
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Variation in Crop Radiation-Use Efficiency with Increased Diffuse Radiation
journal, January 1992


Evaluation of satellite and reanalysis products of downward surface solar radiation over East Asia: Spatial and seasonal variations: EVALUATION OF DSSR OVER EAST ASIA
journal, May 2013

  • Jia, Binghao; Xie, Zhenghui; Dai, Aiguo
  • Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 9
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On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm
journal, September 2005


Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements
journal, December 2002


Reduced carbon sequestration in terrestrial ecosystems under overcast skies compared to clear skies
journal, September 2008


A comprehensive set of benchmark tests for a land surface model of simultaneous fluxes of water and carbon at both the global and seasonal scale
journal, January 2011

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  • Geoscientific Model Development, Vol. 4, Issue 2
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Seasonal and annual variations in the photosynthetic productivity and carbon balance of a central Siberian pine forest
journal, November 2002


Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications
journal, December 1999


Ecosystem-level CO2 fluxes from a boreal cutover in eastern Canada before and after scarification
journal, November 2006


Measurements necessary for assessing the net ecosystem carbon budget of croplands
journal, November 2010

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  • Agriculture, Ecosystems & Environment, Vol. 139, Issue 3
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A comparative analysis of simulated and observed photosynthetic CO2 uptake in two coniferous forest canopies
journal, July 2006


Terrestrial ecosystem production: A process model based on global satellite and surface data
journal, December 1993

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  • Global Biogeochemical Cycles, Vol. 7, Issue 4
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Random and systematic CO2 flux sampling errors for tower measurements over forests in the convective boundary layer
journal, January 2009


Global pattern of NPP to GPP ratio derived from MODIS data: effects of ecosystem type, geographical location and climate
journal, May 2009


Productivity, Respiration, and Light-Response Parameters of World Grassland and Agroecosystems Derived From Flux-Tower Measurements
journal, January 2010

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Solar Radiation and Productivity in Tropical Ecosystems
journal, December 1972

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Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes
journal, April 2007


Incorporating diffuse photosynthetically active radiation in a single-leaf model of canopy photosynthesis for a 56-year-old Douglas-fir forest
journal, January 2009

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FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem–Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities
journal, November 2001


Evaluation of MODIS NPP and GPP products across multiple biomes
journal, June 2006

  • Turner, David P.; Ritts, William D.; Cohen, Warren B.
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The MODIS (Collection V005) BRDF/albedo product: Assessment of spatial representativeness over forested landscapes
journal, November 2009

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Direct and indirect effects of atmospheric conditions and soil moisture on surface energy partitioning revealed by a prolonged drought at a temperate forest site
journal, January 2006

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Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data
journal, January 2011


Disentangling leaf area and environmental effects on the response of the net ecosystem CO 2 exchange to diffuse radiation
journal, January 2008

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  • Geophysical Research Letters, Vol. 35, Issue 16
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Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity
journal, January 2006

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Large carbon uptake by an unmanaged 250-year-old deciduous forest in Central Germany
journal, September 2003

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  • Agricultural and Forest Meteorology, Vol. 118, Issue 3-4
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