Global comparison of light use efficiency models for simulating terrestrial vegetation gross primary production based on the LaThuile database
| Autor: | Yang Chen, Alessandro Cescatti, Shuguang Liu, Wenping Yuan, Gerard Kiely, Olivier Roupsard, Leonardo Montagnani, Jiangzhou Xia, Antonio Raschi, Lutz Merbold, Tomomichi Kato, Peter D. Blanken, Dan Liu, Andrej Varlagin, Wenwen Cai, Christian Bernhofer, Ivan A. Janssens, Jason Beringer, Wenjie Dong, M. Altaf Arain, Jiquan Chen, Damiano Gianelle, Beverly E. Law, Martin Jung, Barbara Marcolla, Andy Black, Louis François, Georg Wohlfahrt |
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| Přispěvatelé: | Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Atmospheric Science
Gross primary production 010504 meteorology & atmospheric sciences Flux F62 - Physiologie végétale - Croissance et développement forêt tropicale Atmospheric sciences 01 natural sciences Prairie Seven LUE models ComputingMilieux_MISCELLANEOUS forêt résineuse [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Light use efficiency Global and Planetary Change forêt mélangée Ecology U10 - Informatique mathématiques et statistiques Physics Forestry 04 agricultural and veterinary sciences Vegetation Chemistry Deciduous forêt feuillue Forêt Terrestrial ecosystem Plante Arbuste Modèle mathématique Télédétection Stress dû à la sécheresse Eddy covariance Lumière Carbon cycle Settore BIO/07 - ECOLOGIA Ecosystem [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment Biology 0105 earth and related environmental sciences Efficacité Stress thermique Primary production 15. Life on land Végétation Température 13. Climate action Utilisation 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science U30 - Méthodes de recherche Agronomy and Crop Science |
| Zdroj: | Agricultural and Forest Meteorology Agricultural and Forest Meteorology, 2014, 192-193, pp.108-120. ⟨10.1016/j.agrformet.2014.03.007⟩ Agricultural and forest meteorology |
| ISSN: | 0168-1923 |
| DOI: | 10.1016/j.agrformet.2014.03.007⟩ |
| Popis: | Simulating the gross primary productivity (GPP) of terrestrial ecosystems has been a major challenge in quantifying the global carbon cycle. Many different LUE models have been developed recently, but our understanding of the relative merits of different models remains limited. Using carbon dioxide flux measurements from 155 eddy covariance sites, we here assess the performance of seven LUE models (CASA, CFix, CFlux, EC-LUE, MODIS, VPM and VPRM) and compared the major model algorithms. Comparison between simulated GPP and estimated GPP from flux measurements showed that model performance differed substantially among ecosystem types. In general, most models captured well the pattern and magnitude of GPP for deciduous broadleaf forests and mixed forests, but performed less well in evergreen broadleaf forests and shrublands. During cloudy and overcast days, six out of seven LUE models significantly underestimated GPP because the impacts of diffuse radiation on light use efficiency were ignored. Among the seven models, CFlux and EC-LUE exhibited the lowest root mean square error at 80% and 75% sites respectively. Moreover, these two models showed higher performance for simulating the interannual variability of GPP. Two pairwise comparisons revealed the seven models differed substantially due to the differences in the algorithms describing the environmental regulation on GPP, particularly water stress. This analysis highlights the need to improve LUE model algorithms by integrating impacts of diffuse radiation on LUE and reliable water stress equations. JRC.H.7-Climate Risk Management |
| Databáze: | OpenAIRE |
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