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

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

ED - Fyziologie

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Global Change Biology

ISSN

1354-1013

e-ISSN

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Svazek periodika

16

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

16

Strana od-do

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Kód UT WoS článku

000274419200015

EID výsledku v databázi Scopus

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