Linking flux network measurements to continental scale simulations : ecosystem carbon dioxide exchange capacity under non-water-stressed conditions
2007
Owen, Katherine E. | Tenhunen, John | Reichstein, Markus | Wang, Quan | Falge, Eva | Geyer, Ralf | Xiao, Xiangming | Stoy, Paul | Ammann, Christoff | Arain, Altaf | Aubinet, Marc | Aurela, Mika | Bernhoffer, Christian | Chojnicki, Bogdan H. | Granier, André, A. | Gruenwald, Thomas | Hadley, Julian | Heinesch, Bernard | Hollinger, David | Knohl, Alexander | Kutsch, Werner | Lohila, Annalea | Meyers, Tilden | Moors, Eddy | Moureaux, Christine | Pilegaard, Kim | Saigusa, Nobuko | Verma, Shashi | Vesala, Timo | Vogel, Chris | Department of Plant Ecology | Max Planck Institute for Biogeochemistry (MPI-BGC) ; Max-Planck-Gesellschaft | Shizuoka University = Shizuoka Daigaku (SU) | University of New Hampshire (UNH) | Nicholas School of the Environment and Earth Sciences ; Duke University [Durham] | Agroscope | School of Geography and Earth Sciences [Hamilton ON] ; McMaster University [Hamilton, Ontario] | Unité de Physique des Biosystèmes ; unité de physique | Finnish Meteorological Institute (FMI) | Technische Universität Dresden = Dresden University of Technology (TU Dresden) | Agricultural University of Poznañ | Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF) ; Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL) | Harvard Forest ; Harvard University | Forest Service, Northern Research Station ; United States Department of Agriculture | Atmospheric Turbulence and Diffusion Division ; Partenaires INRAE | Wageningen University and Research [Wageningen] (WUR) | Danmarks Tekniske Universitet = Technical University of Denmark (DTU) | National Institute of Advanced Industrial Science and Technology (AIST) | School of natural resources ; University of Nebraska System | Helsingin yliopisto = Helsingfors universitet = University of Helsinki | Air Resources Laboratory ; Partenaires INRAE
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Mostrar más [+] Menos [-]Inglés. This paper examines long-term eddy covariance data from 18 European and 17 North American and Asian forest, wetland, tundra, grassland, and cropland sites under nonwater- stressed conditions with an empirical rectangular hyperbolic light response model and a single layer two light-class carboxylase-based model. Relationships according to ecosystem functional type are demonstrated between empirical and physiological parameters, suggesting linkages between easily estimated parameters and those with greater potential for process interpretation. Relatively sparse documentation of leaf area index dynamics at flux tower sites is found to be a major difficulty in model inversion and flux interpretation. Therefore, a simplification of the physiological model is carried out for a subset of European network sites with extensive ancillary data. The results from these selected sites are used to derive a new parameter and means for comparing empirical and physiologically based methods across all sites, regardless of ancillary data. The results from the European analysis are then compared with results from the other Northern Hemisphere sites and similar relationships for the simplified process-based parameter were found to hold for European, North American, and Asian temperate and boreal climate zones. This parameter is useful for bridging between flux network observations and continental scale spatial simulations of vegetation/atmosphere carbon dioxide exchange
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Este registro bibliográfico ha sido proporcionado por Institut national de la recherche agronomique