Linking Flux Network Measurements to Continental Scale Simulations: Ecosystem Carbon Dioxide Exchange Capacity under Non-Water-Stressed Conditions

Authors

• 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

Document Type

Article

Date of this Version

4-12-2007

Citation

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

Comments

United States government work.

Abstract

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.