Journal article
Estimating daytime ecosystem respiration from eddy-flux data
Ecosystems, Biosystems Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark1
Biosystems Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark2
Risø National Laboratory for Sustainable Energy, Technical University of Denmark3
University of Copenhagen4
Federal Research Institute for Rural Areas, Forestry and Fisheries5
Australian National University6
Biosystems Division. Management, Biosystems Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark7
To understand what governs the patterns of net ecosystem exchange of CO2, an understanding of factors influencing the component fluxes, ecosystem respiration and gross primary production is needed. In the present paper, we introduce an alternative method for estimating daytime ecosystem respiration based on whole ecosystem fluxes from a linear regression of photosynthetic photon flux density data vs. daytime net ecosystem exchange data at forest ecosystem level.
This method is based on the principles of the Kok-method applied at leaf level for estimating daytime respiration. We demonstrate the method with field data and provide a discussion of the limitations of the method.
Language: | English |
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Year: | 2011 |
Pages: | 309-313 |
ISSN: | 18728324 and 03032647 |
Types: | Journal article |
DOI: | 10.1016/j.biosystems.2010.10.007 |
ORCIDs: | Mikkelsen, Teis Nørgaard and Pilegaard, Kim |