Sun-induced chlorophyll fluorescence is more strongly related to absorbed light than to photosynthesis at half-hourly resolution in a rice paddy

Yang, K.; Ryu, Youngryel; Dechant, Benjamin; Berry, Joseph A.; Hwang, Y. S.; Jiang, Chongya; Kang, Minseok; Kim, Jongmin; Kimm, Hyungsuk; Kornfeld, Ari; Yang, Xi

doi:10.1016/j.rse.2018.07.008

Cited by 180 publications

(148 citation statements)

References 73 publications

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“…This implies that the spectral shape is quite stable and that all wavelength ranges respond to changes in variable PSII fluorescence yield driven by PQ and NPQ; (2) far‐red SIF is more closely correlated to photosynthesis and APAR than red SIF (Figures ), because it is less prone to re‐absorption by Chl at both leaf and canopy scales (Fournier et al, ; Yang & van der Tol, ). At the canopy scale, the strong correlation between SIF and APAR (Figures and ) confirms previous results in crop canopies (Miao et al, ; Yang et al, ), which makes intuitive sense since APAR covaries with seasonal changes in leaf area in these systems, and is prone to less error than calculated GPP fluxes; and (3) Since wavelengths in the far‐red spectrum are less impacted by confounding factors such as chlorophyll or canopy structure (Figure S12), current satellite retrievals in this region may be better suited to assess stress induced downregulation of photosynthesis than changes in the ChlF spectral shape alone.…”

Section: Discussionsupporting

confidence: 82%

Disentangling Changes in the Spectral Shape of Chlorophyll Fluorescence: Implications for Remote Sensing of Photosynthesis

et al. 2019

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Novel satellite measurements of solar‐induced chlorophyll fluorescence (SIF) can improve our understanding of global photosynthesis; however, little is known about how to interpret the controls on its spectral variability. To address this, we disentangle simultaneous drivers of fluorescence spectra by coupling active and passive fluorescence measurements with photosynthesis. We show empirical and mechanistic evidence for where, why, and to what extent leaf fluorescence spectra change. Three distinct components explain more than 95% of the variance in leaf fluorescence spectra under both steady‐state and changing illumination conditions. A single spectral shape of fluorescence explains 84% of the variance across a wide range of species. The magnitude of this shape responds to absorbed light and photosynthetic up/down regulation; meanwhile, chlorophyll concentration and nonphotochemical quenching control 9% and 3% of the remaining spectral variance, respectively. The spectral shape of fluorescence is remarkably stable where most current satellite retrievals occur (“far‐red,” >740nm), and dynamic downregulation of photosynthesis reduces fluorescence magnitude similarly across the 670‐ to 850‐nm range. We conduct an exploratory analysis of hourly red and far‐red canopy SIF in soybean, which shows a subtle change in red:far‐red fluorescence coincident with photosynthetic downregulation but is overshadowed by longer‐term changes in canopy chlorophyll and structure. Based on our leaf and canopy analysis, caution should be taken when attributing large changes in the spectral shape of remotely sensed SIF to plant stress, particularly if data acquisition is temporally sparse. Ultimately, changes in SIF magnitude at wavelengths greater than 740 nm alone may prove sufficient for tracking photosynthetic dynamics.

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Section: Discussionsupporting

confidence: 82%

Disentangling Changes in the Spectral Shape of Chlorophyll Fluorescence: Implications for Remote Sensing of Photosynthesis

et al. 2019

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“…As a result, the GPP:SIF relationship is determined by the variations in each variable and the contributions of these variables to that relationship. Previous studies found that APAR is the primary driver that leads to the linear GPP:SIF relationship (Rossini et al, ; K. Yang, Ryu, et al, ; X. Yang, Shi, et al, ; Yang et al, ; Zhang et al, ). Some studies also suggested that LUE and SIF y contribute to the relationship and a diverse LUE:SIF y relationship implies a potentially diverse GPP:SIF relationship (Badgley et al, ; Miao et al, ; Wieneke et al, ).…”

Section: Introductionmentioning

confidence: 97%

“…SIF has been found strongly correlated with the gross primary production (GPP) in a quasi‐linear pattern at large spatial and temporal scales (Frankenberg et al, ; Guanter et al, ; Li et al, ; Miao et al, ; Wood et al, ; Yang et al, ; K. Yang, Ryu, et al, ; Yang et al, ). Some studies suggest the potential of a universal GPP:SIF relationship across various biomes (Frankenberg et al, ; Li et al, ; Sun et al, ; but see Zhang et al, ), and others used SIF to constrain photosynthetic parameters (Guan et al, ; Perez‐Priego et al, ; Zhang et al, ; Zhang et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…fPAR, which is determined by canopy structure, is relatively stable at the instantaneous scale but varies significantly between individual growth stages (Chen, ; Ogutu & Dash, ). LUE and SIF y could respond rapidly to the change in PAR in while also varying significantly with the physiological change at the seasonal scale (Kergoat et al, ; Miao et al, ; Turner et al, ; K. Yang, Ryu, et al, ; X. Yang, Shi, et al, ). In consequence, we would expect that contributions from these variables to GPP and SIF could vary at different time scales.…”

Section: Introductionmentioning

confidence: 99%

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Varying Contributions of Drivers to the Relationship Between Canopy Photosynthesis and Far‐Red Sun‐Induced Fluorescence for Two Maize Sites at Different Temporal Scales

et al. 2020

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Sun‐induced fluorescence (SIF) has been found to be strongly correlated with gross primary production (GPP) in a quasi‐linear pattern at the scales beyond leaves. However, the causes of the GPP:SIF relationship deviating from a linear pattern remain unclear. In the current study conducted at two maize sites in Nebraska in 2017 summer growing season, we investigated the relationship between GPP and SIF at 760 nm (F760) at two temporal scales and quantified the contributions of incoming photosynthetically active radiation (PARin), fraction of absorbed PAR (fPAR), light use efficiency (LUE), and F760 yield (F760,y, defined as F760/(PARin×fPAR)) to GPP and F760 variabilities to further understand the linearity and deviations in the GPP:F760 relationship. We found the following: (1) For individual growth stages when canopy structure and chlorophyll content were stable, GPP and F760 were strongly controlled by PARin, while LUE and F760,y had much lower contributions to the GPP:F760 relationship; during this period, LUE and F760,y had either a slightly negative or no clear relationship, which explained some deviations in the GPP:SIF relationship. (2) At the seasonal scale, the contribution of LUE to GPP variability as well as the contribution of F760,y to F760 variability increased and was comparable to the contribution of PARin; the LUE:F760,y relationship showed a strong linear relationship, which strengthened the linear GPP:F760 relationship. Both maize sites showed similar patterns. A framework was applied to estimate LUE at individual stages and as a result, significantly improved the GPP estimation, thus enhancing the SIF potential for inferring photosynthesis.

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“…A recent emerging approach is based on the link between GPP and Sun‐induced chlorophyll fluorescence (SIF), which is derived from atmospheric oxygen absorption bands where small fluorescence signals can be detected from large background solar radiation (Porcar‐Castell et al, ). Although strong SIF‐GPP linkage has been demonstrated from spaceborne remote sensing at coarse temporal and spatial scales (Frankenberg et al, ; Joiner et al, ; Walther et al, ), this SIF‐GPP hypothesis has not been well confirmed for proximal SIF applications across vegetation types, mainly due to the difficulty in detecting and interpreting weak SIF signals (Gamon, ; Porcar‐Castell et al, ; Shrestha et al, ; Yang et al, ). Another promising approach to remotely assess photosynthetic phenology is based on photochemical reflectance index (PRI), which is sensitive to diurnal and seasonal changes in vegetation pigment contents (Gamon et al, ).…”

Section: Introductionmentioning

confidence: 99%

Linking In Situ Photochemical Reflectance Index Measurements With Mangrove Carbon Dynamics in a Subtropical Coastal Wetland

et al. 2019

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Photochemical reflectance index (PRI) has been found to be closely related with vegetation photosynthetic phenology in many ecosystems including boreal evergreen, but its ability to track carbon dynamics in low‐latitude evergreen mangrove ecosystems has rarely been assessed. To fill up this gap, this paper explored potential mangrove PRI‐carbon links and their environmental controls across temporal scales (diurnal and seasonal), based on 1‐year continuous high‐resolution (half‐hourly) time series measurements of spectral signals, eddy covariance carbon fluxes, and multiple environmental factors at a subtropical mangrove wetland of southeastern China. The diurnal variation of half‐hourly mangrove PRI, a U‐shaped changing pattern, was consistent with previous PRI studies on boreal evergreen, while the seasonal variation of daily mangrove PRI did not experience a hump‐shaped changing pattern as in boreal evergreen. Diurnal and seasonal mangrove PRI variations were significantly correlated with meteorological (radiation and vapor pressure deficit) and carbon‐related parameters (gross primary productivity, net ecosystem exchange, and light use efficiency), and the strength of diurnal PRI‐carbon correlations varied with meteorological factors with stronger correlations at enhanced radiation and vapor pressure deficit. Our results further indicated that physiology‐related PRI performed better than conventional structure‐related normalized difference vegetation index in tracking mangrove photosynthetic parameters. To the best of our knowledge, this is the first study to explore the link between high‐frequency PRI and carbon dynamics across temporal scales in natural mangrove ecosystems. The PRI‐carbon linkage confirmed by this study will improve our understanding of temporal variations in photosynthetic carbon dynamics in mangrove ecosystems.

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Sun-induced chlorophyll fluorescence is more strongly related to absorbed light than to photosynthesis at half-hourly resolution in a rice paddy

Cited by 180 publications

References 73 publications

Disentangling Changes in the Spectral Shape of Chlorophyll Fluorescence: Implications for Remote Sensing of Photosynthesis

Disentangling Changes in the Spectral Shape of Chlorophyll Fluorescence: Implications for Remote Sensing of Photosynthesis

Varying Contributions of Drivers to the Relationship Between Canopy Photosynthesis and Far‐Red Sun‐Induced Fluorescence for Two Maize Sites at Different Temporal Scales

Linking In Situ Photochemical Reflectance Index Measurements With Mangrove Carbon Dynamics in a Subtropical Coastal Wetland

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