Natural Resources, School of



Katherine B. Owen, University of Bayreuth
John Tenhunen, University of Bayreuth
Markus Reichstein, Max-Planck-Institute for Biogeochemistry
Quan Wang, Shizuoka University
Eva Falge, University of Bayreuth
Ralf Geyer, University of Bayreuth
Xiangming Xiaos, University of New Hampshire, Durham
Paul Stoy, Duke University
Christof Ammann, Swiss Federal Research Station for Agroecology and Agriculture of Zurich-Reckenholz
Altaf Arain, McMaster University
Marc Aubinet, Unite´ de Physique des Biosystemes, Faculte´ universitaire des Sciences agronomiques de Gembloux
Mika Aurela, Finnish Meteorological Institute
Christian Bernhofer, Technische Universitat Dresden, IHM-Meteorologie
Bogdan Chojnicki, Agricultural University of Poznan
Andre Granier, INRA, Unite d’Ecophysiologie Forestière
Thomas Gruenwald, Technische Universitat Dresden, IHM-Meteorologie
Julian Hadley, Harvard University
Bernard Heinesch, Unite de Physique des Biosystemes, Faculte universitaire des Sciences agronomiques de Gembloux
David Hollinger, United States Department of Agriculture
Alexander Knohl, Max-Planck-Institute for Biogeochemistry
Werner Kutsch, Max-Planck-Institute for Biogeochemistry
Annalea Lohila, Finnish Meteorological Institute
Tilden Meyers, United States National Oceanic and Atmospheric Administration/ARL, Atmospheric Turbulence and Diffusion Division
Eddy Moors, Wageningen University
Christine Moureaux, Unite de Physique des Biosystemes, Faculte universitaire des Sciences agronomiques de Gembloux
Kim Pilegaard, Ris National Laboratory
Nobuko Saigusa, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
Shashi Verma, University of Nebraska-LincolnFollow
Timo Vesala, University of Helsinki
Chris Vogel, United States National Oceanic and Atmospheric Aadministration, Air Resources Laboratory, Canaan Valley Institute

Date of this Version



Global Change Biology (2007) 13: 734-760. DOI: 10.1111/j.1365-2486.2007.01326.x.


United States government work.


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.