B006-0015
Ground-based observation on Solar-induced chlorophyll fluorescence in rice ecosystem with high-spectral resolutions

Monday, 7 December 2020
Poster
Kanokrat Buareal1, Tomoki Morozumi2, Tomomichi Kato2, Naohisa Nakashima2 and Keisuke Ono3, (1)Graduate School of Global Food Resources, Hokkaido University, Sapporo, Japan, (2)Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan, (3)NIAES National Institute for Agro-Environmental Sciences, Atmospheric Research, Tsukuba, Japan
Abstract:
Solar-Induced Chlorophyll fluorescence (SIF) is considered to be a desirable remote-sensing proxy for tracking photosynthesis in recent decades. Although several studies implied that SIF related to photosynthesis activities and Gross primary productivities (GPP) from single leaf measurement toward a global scale by satellite (e.g. GOSAT, FLEX), the validation of SIF at the ecosystem level in both spatial and temporal scale should be more concurrently considered for developing a higher accuracy model of global carbon cycling and broaden the understanding on SIF and GPP relationship. This study focuses on the ground-based investigating SIF in the paddy field (Oryza sativa L.; cultivar Koshihikari) ecosystem, which is one of the major crops in Asia. The QEPro (high spectral resolution with 0.3 nm full width at half maximum; Ocean Optics, Dunedin, FL, USA) was installed in Mase eddy flux site (36.05°N, 140.03°E, 11 m ASL.) in June to September (one growing season) 2019 in Tsukuba, Japan. The optical fiber splitter (LEONI Fiber Optics GmbH, Föritztal, Germany) was connected to a spectroradiometer and three optical fibers to switch the optical fiber channels and the spectrum was measured with 5 minutes interval time. The upwelling reflected radiance from the paddy field was detected by optical fiber with cosine corrector field of view (FOV) at 180° and bare fiber FOV 25°, and the downwelling irradiance was detected with FOV 180°. The Spectral Fitting Method (SFM; Meroni et al., 2009) was used to retrieve the SIF signal. The results present a strong correlation between SIF and GPP in both diurnal and seasonal scales. The diurnal variation of SIF linearly correlated with the GPP with the coefficient of determination (r2) of 0.75. Regarding seasonal relationships, SIF showed a strong correlation with GPP (r2=0.61), and Normalized Difference Vegetation Index (NDVI; r2=0.53), especially in sunny conditions. It seems that the sky condition influences SIF signal. It is noted that SIF has the potential to be recognized as a proxy of photosynthesis in the paddy field ecosystem.