Počet záznamů: 1  

Combining NDVI, PRI and the quantum yield of solar-induced fluorescence improves estimations of carbon fluxes in deciduous and evergreen forests

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    0558026 - ÚVGZ 2023 RIV NL eng J - Článek v odborném periodiku
    Kováč, Daniel - Ač, Alexander - Šigut, Ladislav - Penuelas, Josep - Grace, John - Urban, Otmar
    Combining NDVI, PRI and the quantum yield of solar-induced fluorescence improves estimations of carbon fluxes in deciduous and evergreen forests.
    Science of the Total Environment. Roč. 829, JUL (2022), č. článku 154681. ISSN 0048-9697. E-ISSN 1879-1026
    Grant CEP: GA MŠk(CZ) LM2015061; GA MŠk(CZ) EF16_019/0000797
    Institucionální podpora: RVO:86652079
    Klíčová slova: induced chlorophyll fluorescence * photochemical reflectance index * sun-induced fluorescence * net ecosystem exchange * light-use efficiency * radiation-use efficiency * gross primary production * photosynthesis * field * spectrometer * 3-fld * Chlorophyll fluorescence * Eddy covariance fluxes * ndvi * Photochemical reflectance index * Seasonal dynamics
    Obor OECD: Biophysics
    Impakt faktor: 10.753, rok: 2021
    Způsob publikování: Open access
    https://www.sciencedirect.com/science/article/pii/S0048969722017740#!

    We used automated spectroradiometers to continuously monitor changes in the optical parameters of phenological and photosynthetic traits in beech and spruce forests. We examined seasonal variations in the normalized difference vegetation index (NDVI), photochemical reflectance index (PRI), and solar-induced fluorescence in the oxygen A band (SIFA) that was estimated using a 3-FLD discrimination method from radiance data. The optical parameters tracked the activation and cessation of photosynthesis in spring and autumn. Data at photon fluxes >1200 mu mol m(-2) s(-1) during extended noon hours were used to link the seasonal PRI and SIFA variations to the dynamics of photosynthesis. Seasonal PRI was significantly correlated with photosynthetic light-use efficiency (LUE) with R-2 values of 0.66 and 0.48 for the measurements in beech and spruce forests, respectively. SIFA emissions were significantly correlated with the gross primary production (GPP) of the evergreen spruce forest (R-2 = 0.47), but R-2 was only 0.13 when measured in the beech forest. The correlations between the optical parameters and GPP or LUE, however, tended to be lower when using a dataset with constant NDVI. Introducing an equation combining NDVI, PRI, and the quantum yield of SIFA emission increased R-2 for LUE estimation to 0.77 in the spruce forest and 0.63 in the beech forest. GPP was estimated from the parametric equation with improved accuracy reaching R-2 = 0.53 and RMSE = 5.95 mu mol CO2 m(-2) s(-1) in spruce forest and R-2 = 0.58 and RMSE = 5.23 mu mol CO2 m(-2) s(-1) in beech forest. Parametric equations were more efficient in estimating photosynthesis in datasets that consisted of an entire season's data. By combining NDVI, PRI and the quantum yield of SIFA, we could thus substantially improve estimations of carbon fluxes in diverse deciduous and evergreen canopies.
    Trvalý link: http://hdl.handle.net/11104/0331867

     
     
Počet záznamů: 1