Estimating daytime ecosystem respiration from eddy-flux data

Dan Bruhn; Teis N. Mikkelsen; Mathias Herbst; Werner L. Kutsch; Marilyn C. Ball; Kim Pilegaard

doi:10.1016/j.biosystems.2010.10.007

Estimating daytime ecosystem respiration from eddy-flux data

Dan Bruhn^*, Teis N. Mikkelsen, Mathias Herbst, Werner L. Kutsch, Marilyn C. Ball, Kim Pilegaard

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

31 Citations (Scopus)

Abstract

To understand what governs the patterns of net ecosystem exchange of CO ₂, 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.

Original language	English
Pages (from-to)	309-313
Number of pages	5
Journal	BioSystems
Volume	103
Issue number	2
DOIs	https://doi.org/10.1016/j.biosystems.2010.10.007
Publication status	Published - Feb 2011

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10.1016/j.biosystems.2010.10.007

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title = "Estimating daytime ecosystem respiration from eddy-flux data",

abstract = "To understand what governs the patterns of net ecosystem exchange of CO 2, 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.",

keywords = "Ecosystem respiration, Eddy-flux, Gross primary production, Kok-method",

author = "Dan Bruhn and Mikkelsen, {Teis N.} and Mathias Herbst and Kutsch, {Werner L.} and Ball, {Marilyn C.} and Kim Pilegaard",

year = "2011",

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AU - Bruhn, Dan

AU - Mikkelsen, Teis N.

AU - Herbst, Mathias

AU - Kutsch, Werner L.

AU - Ball, Marilyn C.

AU - Pilegaard, Kim

PY - 2011/2

Y1 - 2011/2

N2 - To understand what governs the patterns of net ecosystem exchange of CO 2, 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.

AB - To understand what governs the patterns of net ecosystem exchange of CO 2, 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.

KW - Ecosystem respiration

KW - Eddy-flux

KW - Gross primary production

KW - Kok-method

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DO - 10.1016/j.biosystems.2010.10.007

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VL - 103

SP - 309

EP - 313

JO - BioSystems

JF - BioSystems

IS - 2

ER -

Estimating daytime ecosystem respiration from eddy-flux data

Abstract

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