Natural Resources, School of

 

Title

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, 95440 Bayreuth, Germany
John Tenhunen, University of Bayreuth, 95440 Bayreuth, Germany
Markus Reichstein, Max-Planck-Institute for Biogeochemistry, Hans-Knoll-Strasse 10, 07745 Jena, Germany
Quan Wang, Shizuoka University, Ohya 836, Shizuoka 422-8529, Japan
Eva Falge, University of Bayreuth, 95440 Bayreuth, Germany
Ralf Geyer, University of Bayreuth, 95440 Bayreuth, Germany
Xiangming Xiaos, Complex Systems Research Center, Institute for the Study of Earth, Oceans and Space, University of New Hampshire, Durham, NH 03824, USA
Paul Stoy, Nicholas School of the Environment and Earth Sciences, Duke University, A328 LSRC, Durham, NC 27708-0328, USA
Christof Ammann, Swiss Federal Research Station for Agroecology and Agriculture of Zurich-Reckenholz, Reckenholzstrasse 191, 8046 Zurich, Switzerland
Altaf Arain, School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, Canada
Marc Aubinet, Unite´ de Physique des Biosystemes, Faculte´ universitaire des Sciences agronomiques de Gembloux, B-5030 Gembloux, Belgique
Mika Aurela, Finnish Meteorological Institute, Climate and Global Change Research, PO Box 503, FI-00101 Helsinki, Finland
Christian Bernhofer, Technische Universitat Dresden, IHM-Meteorologie, Piennerstrasse 9, 01737 Tharandt, Germany
Bogdan Chojnicki, Department of Agrometeorology, Agricultural University of Poznan , 60-637 Poznan , Poland
Andre Granier, INRA, Unite d’Ecophysiologie Forestie`re, F-54280 Champenoux, France
Thomas Gruenwald, Technische Universitat Dresden, IHM-Meteorologie, Piennerstrasse 9, 01737 Tharandt, Germany
Julian Hadley, Harvard University, Harvard Forest, PO Box 68, 324 N. Main Street, Petersham, MA
Bernard Heinesch, Unite de Physique des Biosystemes, Faculte universitaire des Sciences agronomiques de Gembloux, B-5030 Gembloux, Belgique
David Hollinger, USDA
Alexander Knohl, Max-Planck-Institute for Biogeochemistry, Hans-Knoll-Strasse 10, 07745 Jena, Germany
Werner Kutsch, Max-Planck-Institute for Biogeochemistry, Hans-Knoll-Strasse 10, 07745 Jena, Germany
Annalea Lohila, Finnish Meteorological Institute, Climate and Global Change Research, PO Box 503, FI-00101 Helsinki, Finland
Tilden Meyers, NOAA/ARL, Atmospheric Turbulence and Diffusion Division, PO Box 2456, 456 South Illinois Avenue, Oak Ridge, TN
Eddy Moors, Alterra – Centre for Water and Climate, Wageningen University, 6700 AA Wageningen, The Netherlands
Christine Moureaux, Unite de Physique des Biosystemes, Faculte universitaire des Sciences agronomiques de Gembloux, B-5030 Gembloux, Belgique
Kim Pilegaard, Ris National Laboratory, Biosystems Department, PO Box 49, DK-4000 Roskilde, Denmark
Nobuko Saigusa, National Institute of Advanced Industrial Science and Technology, 16-1 Onogawa, Tsukuba, Ibaraki 305-8569, Japan
Shashi Verma, University of Nebraska - Lincoln
Timo Vesala, University of Helsinki, FIN-00014, Helsinki, Finland
Chris Vogel, NOAA Air Resources Laboratory, Canaan Valley Institute, PO Box 673, Davis, WV

Document Type

Article

Date of this Version

April 2007

Comments

Published in Global Change Biology (2007) 13, 734–760, doi: 10.1111/j.1365-2486.2007.01326.x.

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.