Estimating daytime ecosystem respiration from eddy-flux data

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

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    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.
    Original languageEnglish
    JournalBioSystems
    Volume103
    Issue number2
    Pages (from-to)309-313
    ISSN0303-2647
    DOIs
    Publication statusPublished - 2011

    Keywords

    • Bio systems
    • Environment and climate

    Fingerprint Dive into the research topics of 'Estimating daytime ecosystem respiration from eddy-flux data'. Together they form a unique fingerprint.

    Cite this