Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP)

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67179843%3A_____%2F10%3A00343329" target="_blank" >RIV/67179843:_____/10:00343329 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP)
Original language description
Terrestrial gross primary production (GPP) is an important parameter to explore and quantify carbon fixation by plant ecosystems. Remote sensing (RS) offers a unique possibility to investigate GPP. The overarching goal of this study is to enhance our knowledge on how environmentally induced changes of photosynthetic light-use efficiency (LUE) are linked with optical RS parameters. GPP was modeled using Monteith?s LUE-concept and optical-based GPP and LUE values were compared with synoptically acquired eddy covariance data. This research shows for the first time that including sun-induced fluorescence into modeling approaches improves their results in predicting diurnal courses of GPP. Our results support the hypothesis that air- or spaceborne quantification of sun-induced fluorescence yield may become a powerful tool to better understand spatio-temporal variations of photosynthetic efficiency and plant stress on a global scale.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
ED - Physiology
OECD FORD branch
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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