Contributions of radiative, structural, and physiological information of solar-induced chlorophyll fluorescence on predicting crop gross primary production across temporal scales

doi:10.17521/cjpe.2024.0283

Abstract

Abstract:

Aims Accurate monitoring of gross primary production (GPP) in terrestrial ecosystems is crucial for global carbon cycle and climate change studies. The near-linear relationship between solar-induced chlorophyll fluorescence (SIF) and GPP offers a new avenue for estimating vegetation carbon uptake from local to global scales. However, the contributions of radiative, structural, and physiological information of SIF to GPP estimation at different temporal scales remain unclear.

Methods This study utilizes canopy spectroscopy and eddy covariance flux data from a field site in Shangqiu, Henan, focusing on wheat (Triticum aestivum) and maize (Zea mays) as representative C₃ and C₄ crops, respectively. By comparing methods based on the near-infrared reflectance of terrestrial vegetation (NIRv) and the fluorescence correction vegetation index (FCVI) to decompose SIF components, we refined the leave-one-out method to quantify their contributions to GPP estimation and analyzed the impact of crop type and temporal resolution on the SIF-GPP relationship.

Important findings The study reveals that the SIF-GPP relationship is influenced by differences in crop type and significantly strengthens as temporal resolution decreases. At shorter temporal scales, such as half-hour and one-day, the radiative component predominantly drives the SIF-GPP relationship. However, as the time scale extends to a week or longer, the influences of structural and physiological components become increasingly significant. The methods based on NIRv and FCVI showed high consistency in decomposing the radiative, structural, and physiological components of SIF. Through a deeper understanding and precise quantification of the SIF-GPP relationship, this research enhances the application of remote sensing technologies and models in global vegetation monitoring and carbon cycle studies.

Key words: solar-induced chlorophyll fluorescence (SIF), gross primary production (GPP), temporal resolution, crop, physiological information, canopy structure

WANG Bei-Bei, WU Su, WANG Miao-Miao, HU Jin-Tao. Contributions of radiative, structural, and physiological information of solar-induced chlorophyll fluorescence on predicting crop gross primary production across temporal scales[J]. Chin J Plant Ecol, 2025, 49(4): 562-572.

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URL: https://www.plant-ecology.com/EN/10.17521/cjpe.2024.0283

https://www.plant-ecology.com/EN/Y2025/V49/I4/562

Figures/Tables 5

Table 1 Configuration parameters of the spectrometers used in FluoSpec 2 system

光谱仪 Spectrometer	波段范围 Band range (nm)	光谱分辨率 Spectral resolution (nm)	信噪比 Signal-to-noise ratio	计算参数 Calculational parameter
QEpro	730-785	0.17	1 000	Solar-induced chlorophyll fluorescence
HR2000+	350-1 100	1.10	250	Reflectance vegetation index

Fig. 1 Seasonal variations of gross primary productivity (GPP) (A), solar-induced chlorophyll fluorescence (SIF) (B), photosynthetically active radiation (PAR) (C), near-infrared reflectance of vegetation (NIRv) (D), fluorescence corrected vegetation index (FCVI) (E), fluorescence quantum efficiency based on NIRv method (ΦF_FCVI) (F), and fluorescence quantum efficiency based on FCVI method (ΦF_FCVI) for Triticum aestivum (blue circle) and Zea mays (red circle) of Shangqiu in 2019 (G).

Fig. 2 Relationships between solar-induced chlorophyll fluorescence (SIF) and gross primary productivity (GPP) at different temporal resolutions and crops and the determination coefficient (R2) of the linear relationships. A, 0.5 h scale. B, One-day scale. C, One-week scale. D, Two-week scale. E, One-month scale. F, Histogram of R2 at different temporal resolutions.

Fig. 3 Relative contribution percentage of the physiological, structural and radiative components of solar-induced chlorophyll fluorescence (SIF) to the linear relationship between SIF and gross primary productivity. FCVI, fluorescence corrected vegetation index; NIRv, near-infrared reflectance of vegetation.

Fig. 4 Relative contribution percentage of the physiological, structural and radiative components of the solar-induced chlorophyll fluorescence (SIF) of Triticum aestivum (A) and Zea mays (B) based on the near-infrared reflectance of vegetation (NIRv) method to the linear relationship between SIF and gross primary productivity.

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