Idioma:

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

DAMM, ALEXANDER ; ELBERS, JAN ; ERLER, ANDRÉ ; GIOLI, BENIAMINO ; HAMDI, KARIM ; HUTJES, RONALD ; KOSVANCOVA, MARTINA ; MERONI, MICHELE ; MIGLIETTA, FRANCO ; MOERSCH, ANDRÉ ; MORENO, JOSE ; SCHICKLING, ANKE ; SONNENSCHEIN, RUTH ; UDELHOVEN, THOMAS ; van derLINDEN, SEBASTIAN ; HOSTERT, PATRICK ; RASCHER, UWE

Global change biology, 2010-01, Vol.16 (1), p.171-186 [Periódico revisado por pares]

Oxford, UK: Oxford, UK : Blackwell Publishing Ltd

Texto completo disponível

Citações Citado por

Enviar para

Título:
Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP)
Autor: DAMM, ALEXANDER ; ELBERS, JAN ; ERLER, ANDRÉ ; GIOLI, BENIAMINO ; HAMDI, KARIM ; HUTJES, RONALD ; KOSVANCOVA, MARTINA ; MERONI, MICHELE ; MIGLIETTA, FRANCO ; MOERSCH, ANDRÉ ; MORENO, JOSE ; SCHICKLING, ANKE ; SONNENSCHEIN, RUTH ; UDELHOVEN, THOMAS ; van derLINDEN, SEBASTIAN ; HOSTERT, PATRICK ; RASCHER, UWE
Assuntos: Animal and plant ecology ; Animal, plant and microbial ecology ; Biological and medical sciences ; boreal forest ; carbon cycle ; carbon-dioxide ; Climatology ; diurnal carbon uptake ; eddy covariance ; Fluorescence ; fluorescence yield ; fluorescentie ; fotosynthese ; Fundamental and applied biological sciences. Psychology ; General aspects ; General aspects. Techniques ; GPP ; induced chlorophyll fluorescence ; Klimatologie ; koolstofcyclus ; leaf senescence ; light-use efficiency ; LUE ; modeling ; modelleren ; net primary production ; photochemical reflectance index ; photosynthesis ; photosynthetic efficiency ; photosystem-ii ; planten ; plants ; PRI ; primaire productie ; primary production ; Remote sensing ; spectroscopie ; spectroscopy ; Sun ; sun-induced fluorescence ; Teledetection and vegetation maps
É parte de: Global change biology, 2010-01, Vol.16 (1), p.171-186
Notas: http://dx.doi.org/10.1111/j.1365-2486.2009.01908.x
ArticleID:GCB1908
ark:/67375/WNG-L3G8SDTC-M
istex:C663C6980147BF02FAD9B4619E026FFA20D8D0FB
Descrição: Terrestrial gross primary production (GPP) is an important parameter to explore and quantify carbon fixation by plant ecosystems at various scales. Remote sensing (RS) offers a unique possibility to investigate GPP in a spatially explicit fashion; however, budgeting of terrestrial carbon cycles based on this approach still remains uncertain. To improve calculations, spatio-temporal variability of GPP must be investigated in more detail on local and regional scales. 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. Diurnal courses of sun-induced fluorescence yield (FSyield) and the photochemical reflectance index of corn were derived from high-resolution spectrometric measurements and their potential as proxies for LUE was investigated. GPP was modeled using Monteith's LUE-concept and optical-based GPP and LUE values were compared with synoptically acquired eddy covariance data. It is shown that the diurnal response of complex physiological regulation of photosynthesis can be tracked reliably with the sun-induced fluorescence. Considering structural and physiological effects, 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 fluorescence yield, photosynthetic efficiency and plant stress on a global scale.
Editor: Oxford, UK: Oxford, UK : Blackwell Publishing Ltd
Idioma: Inglês

Links

View record in Pascal Francis

Voltar para lista de resultados

Anterior Resultado 6 Avançar Ir para próxima página

Realização: Logos de Redes Sociais:

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

Oxford, UK: Oxford, UK : Blackwell Publishing Ltd

Buscando em bases de dados remotas. Favor aguardar.