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Journal article

Estimating daytime ecosystem respiration from eddy-flux data

From

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
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

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