Article (Scientific journals)
Global comparison of light use efficiency models for simulating terrestrial vegetation gross primary production based on the LaThuile database
Yuan, W.; Cai, W.; Xia, J. et al.
2014In Agricultural and Forest Meteorology, 192-193, p. 108-120
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Keywords :
Gross primary production; Light use efficiency; Seven LUE models
Abstract :
[en] Simulating gross primary productivity (GPP) of terrestrial ecosystems has been a major challenge in quantifying the global carbon cycle. Many different light use efficiency (LUE) models have been developed recently, but our understanding of the relative merits of different models remains limited. Using CO2 flux measurements from multiple eddy covariance sites, we here compared and assessed major algorithms and performance of seven LUE models (CASA, CFix, CFlux, EC-LUE, MODIS, VPM and VPRM). Comparison between simulated GPP and estimated GPP from flux measurements showed that model performance differed substantially among ecosystem types. In general, most models performed better in capturing the temporal changes and magnitude of GPP in deciduous broadleaf forests and mixed forests than in evergreen broadleaf forests and shrublands. Six of the seven LUE models significantly underestimated GPP during cloudy days because the impacts of diffuse radiation on light use efficiency were ignored in the models. CFlux and EC-LUE exhibited the lowest root mean square error among all models at 80% and 75% of the sites, respectively. Moreover, these two models showed better performance than others in simulating interannual variability of GPP. Two pairwise comparisons revealed that the seven models differed substantially in algorithms describing the environmental regulations, particularly water stress, on GPP. This analysis highlights the need to improve representation of the impacts of diffuse radiation and water stress in the LUE models. © 2014 Elsevier B.V.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Yuan, W.;  State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China, State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, The Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Cai, W.;  State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
Xia, J.;  State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
Chen, J.;  International Center for Ecology, Meteorology and Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China, Department of Environmental Sciences, University of Toledo, Toledo, OH 43606, United States
Liu, S.;  State Engineering Laboratory of Southern Forestry Applied Ecology and Technology, Central South University of Forestry and Technology, Changsha, Hunan 410004, China
Dong, W.;  State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
Merbold, L.;  Department of Environmental Systems Science, ETH Zurich, Universitätsstrasse 2, 8092 Zurich, Switzerland
Law, B.;  College of Forestry, Oregon State University, Corvallis, OR 97331, United States
Arain, A.;  McMaster Centre for Climate Change and School of Geography and Earth Sciences, McMaster University, Hamilton, ON, Canada
Beringer, J.;  School of Geography and Environmental Science, Monash University, Clayton, VIC 3800, Australia
Bernhofer, C.;  Institute of Hydrology and Meteorology, Technische Universität Dresden, Dresden, Germany
Black, A.;  Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, Canada
Blanken, P. D.;  Department of Geography, University of Colorado at Boulder, Boulder, CO 80309-0260, United States
Cescatti, A.;  European Commission, Joint Research Center, Institute for Environment and Sustainability, Ispra, Italy
Chen, Y.;  State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
François, Louis  ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
Gianelle, D.;  Sustainable Agro-ecosystems and Bioresources Department, IASMA Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all'Adige, TN, Italy
Janssens, I. A.;  University of Antwerpen, Department of Biology, Universiteitsplein 1, B-2610 Wilrijk, Belgium
Jung, M.;  Max Planck Institute for Biogeochemistry, Jena, Germany
Kato, T.;  Laboratoire des Sciences du CLimat et de l'Environnement, IPSL, CEA-CNRS-UVSQ Orme des Merisiers, F-91191 Gif sur Yvette, France
Kiely, G.;  Civil and Environmental Engineering Department, Environmental Research Institute, University College Cork, Ireland
Liu, D.;  State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
Marcolla, B.;  Sustainable Agro-ecosystems and Bioresources Department, IASMA Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all'Adige, TN, Italy
Montagnani, L.;  Forest Services, Autonomous Province of Bolzano, Via Brennero 6, 39100 Bolzano, Italy, Faculty of Science and Technology, Free University of Bolzano, Piazza Università 5, 39100 Bolzano, Italy
Raschi, A.;  CNR - Institute of Biometeorology, 50145 Florence, Italy
Roupsard, O.;  CIRAD, UMR Eco and Sols (Ecologie Fonctionnelle and Biogéochimie des Sols et des Agro-ecosystemes), 34060 Montpellier, France, CATIE (Tropical Agricultural Centre for Research and Higher Education), 7170 Turrialba, Costa Rica
Varlagin, A.;  A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow 119071, Russian Federation
Wohlfahrt, G.;  Institute of Ecology, University of Innsbruck, Innsbruck 6020, Austria
More authors (18 more) Less
Language :
English
Title :
Global comparison of light use efficiency models for simulating terrestrial vegetation gross primary production based on the LaThuile database
Publication date :
2014
Journal title :
Agricultural and Forest Meteorology
ISSN :
0168-1923
eISSN :
1873-2240
Publisher :
Elsevier
Volume :
192-193
Pages :
108-120
Peer reviewed :
Peer Reviewed verified by ORBi
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