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

0343329 - ÚVGZ 2011 RIV GB eng J - Článek v odborném periodiku
Damm, A. - Elbers, J. - Erler, A. - Gioli, B. - Hamdi, K. - Hutjes, R. - Košvancová, Martina - Meroni, M. - Miglietta, F. - Moersch, A. - Moreno, J. - Schickling, A. - Sonnenschein, R. - Udelhoven, T. - van der Linden, S. - Hostert, P. - Rascher, U.
Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP).
Global Change Biology. Roč. 16, č. 1 (2010), s. 171-186. ISSN 1354-1013. E-ISSN 1365-2486
Výzkumný záměr: CEZ:AV0Z6087904
Klíčová slova: diurnal carbon uptake * eddy covariance * fluorescence yield * GPP * LUE * PRI * remote sensing * spectroscopy * sun-induced fluorescence
Kód oboru RIV: ED - Fyziologie
Impakt faktor: 6.346, rok: 2010

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.
Trvalý link: http://hdl.handle.net/11104/0185834