Diverse photosynthetic capacity of global ecosystems mapped by satellite chlorophyll fluorescence measurements

He, Li; Chen, Jing M.; Liu, Jane; Zheng, Ting; Wang, Rong; Joiner, Joanna; Chou, Shuren; Chen, Bin; Liu, Yang; Liu, Ronggao; Rogers, Cheryl

doi:10.1016/j.rse.2019.111344

Cited by 77 publications

(66 citation statements)

References 108 publications

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“…At the regional scale, solar-induced chlorophyll fluorescence (SIF) is observed based on solar irradiance and vegetation irradiance (Smith et al, 2018). ChlF opens a new perspective as a functional proxy of the terrestrial ecosystem GPP (He et al, 2019). However, it remains uncertain whether the link between ChlF and photosynthetic traits will be constrained by drought stress.…”

Section: Introductionmentioning

confidence: 99%

Drought stress strengthens the link between chlorophyll fluorescence parameters and photosynthetic traits

Zhuang

Wang

Chi

et al. 2020

PeerJ

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Chlorophyll fluorescence (ChlF) has been used to understand photosynthesis and its response to climate change, particularly with satellite-based data. However, it remains unclear how the ChlF ratio and photosynthesis are linked at the leaf level under drought stress. Here, we examined the link between ChlF ratio and photosynthesis at the leaf level by measuring photosynthetic traits, such as net CO2 assimilation rate (An), the maximum carboxylation rate of Rubisco (Vcmax), the maximum rate of electron transport (Jmax), stomatal conductance (gs) and total chlorophyll content (Chlt). The ChlF ratio of the leaf level such as maximum quantum efficiency of PSII (Fv/Fm) is based on fluorescence kinetics. ChlF intensity ratio (LD685/LD740) based on spectrum analysis was obtained. We found that a combination of the stomatal limitation, non-stomatal limitation, and Chlt regulated leaf photosynthesis under drought stress, while Jmax and Chlt governed the ChlF ratio. A significant link between the ChlF ratio and An was found under drought stress while no significant correlation in the control, which indicated that drought stress strengthens the link between the ChlF ratio and photosynthetic traits. These results suggest that the ChlF ratio can be a powerful tool to track photosynthetic traits of terrestrial ecosystems under drought stress.

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Section: Introductionmentioning

confidence: 99%

Drought stress strengthens the link between chlorophyll fluorescence parameters and photosynthetic traits

Zhuang

Wang

Chi

et al. 2020

PeerJ

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“…Numerous methods have been developed to estimate photosynthetic capacity spatially and temporally using remotely sensed data, primarily for improved mapping and modeling of gross primary productivity (GPP) at regional and global scales (e.g. Sims et al , 2008 , Houborg et al , 2013 , Serbin et al , 2015 ), and He et al , 2019 ). These methods may also be applied at field scale to assess photosynthetic performance of crop cultivars in breeding trials using high-throughput phenotyping platforms (HTPPs) mounted with (hyper)spectral sensors ( Camino et al , 2019 ; Fu et al , 2019 ; Meacham-Hensold et al , 2019 ).…”

Section: Introductionmentioning

confidence: 99%

The inverse relationship between solar-induced fluorescence yield and photosynthetic capacity: benefits for field phenotyping

Meacham-Hensold

Siebers

et al. 2020

Journal of Experimental Botany

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Improving photosynthesis is considered a promising way to increase crop yield to feed a growing population. Realizing this goal requires non-destructive techniques to quantify photosynthetic variation among crop cultivars. Despite existing remote sensing-based approaches, it remains a question whether solar-induced fluorescence (SIF) can facilitate screening crop cultivars of improved photosynthetic capacity in plant breeding trials. Here we tested a hypothesis that SIF yield rather than SIF had a better relationship with the maximum electron transport rate (Jmax). Time-synchronized hyperspectral images and irradiance spectra of sunlight under clear-sky conditions were combined to estimate SIF and SIF yield, which were then correlated with ground-truth Vcmax and Jmax. With observations binned over time (i.e. group 1: 6, 7, and 12 July 2017; group 2: 31 July and 18 August 2017; and group 3: 24 and 25 July 2018), SIF yield showed a stronger negative relationship, compared with SIF, with photosynthetic variables. Using SIF yield for Jmax (Vcmax) predictions, the regression analysis exhibited an R2 of 0.62 (0.71) and root mean square error (RMSE) of 11.88 (46.86) μmol m–2 s–1 for group 1, an R2 of 0.85 (0.72) and RMSE of 13.51 (49.32) μmol m–2 s–1 for group 2, and an R2 of 0.92 (0.87) and RMSE of 15.23 (30.29) μmol m–2 s–1 for group 3. The combined use of hyperspectral images and irradiance measurements provides an alternative yet promising approach to characterization of photosynthetic parameters at plot level.

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“…For example, Wittenberghe et al [33] stressed the importance of quantifying canopy structural parameters such as leaf area index and angular distribution with reflectance data for detailed analysis of remotely-sensed SIF. In addition, it is important to account for solar-satellite geometry that impacts illumination and e in the direction of the observer (e.g., [17,25,30,[34][35][36][37][38][39][40][41][42][43][44][45][46]). Vertical and horizontal inhomogeneity of vegetation canopies also affect canopy-level SIF including its angular distribution [47][48][49].…”

Section: Introductionmentioning

confidence: 99%

“…Several approaches have been proposed and/or implemented to more fully account for sun-satellite geometrical dependencies of satellite SIF measurements (e.g., [25,30,[37][38][39][42][43][44][45]52]). These methods rely on various ancillary data including reflectances along with theoretical and/or machine learning constructs (see e.g., [25] for a review).…”

Section: Introductionmentioning

confidence: 99%

Systematic Orbital Geometry-Dependent Variations in Satellite Solar-Induced Fluorescence (SIF) Retrievals

et al. 2020

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While solar-induced fluorescence (SIF) shows promise as a remotely-sensed measurement directly related to photosynthesis, interpretation and validation of satellite-based SIF retrievals remains a challenge. SIF is influenced by the fraction of absorbed photosynthetically-active radiation at the canopy level that depends upon illumination geometry as well as the escape of SIF through the canopy that depends upon the viewing geometry. Several approaches to estimate the effects of sun-sensor geometry on satellite-based SIF have been proposed, and some have been implemented, most relying upon satellite reflectance measurements and/or other ancillary data sets. These approaches, designed to ultimately estimate intrinsic or physiological components of SIF related to photosynthesis, have not generally been applied globally to satellite measurements. Here, we examine in detail how SIF and related reflectance-based indices from wide swath polar orbiting satellites in low Earth orbit vary systematically due to the host satellite orbital characteristics. We compare SIF and reflectance-based parameters from the Global Ozone Mapping Experiment 2 (GOME-2) on the MetOp-B platform and from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel 5 Precursor satellite with a focus on high northern latitudes in summer where observations at similar geometries and local times occur. We show that GOME-2 and TROPOMI SIF observations agree nearly to within estimated uncertainties when they are compared at similar observing geometries. We show that the cross-track dependence of SIF normalized by PAR and related reflectance-based indices are highly correlated for dense canopies, but diverge substantially as the vegetation within a field-of-view becomes more sparse. This has implications for approaches that utilize reflectance measurements to help account for SIF geometrical dependences in satellite measurements. To further help interpret the GOME-2 and TROPOMI SIF observations, we simulated cross-track dependences of PAR normalized SIF and reflectance-based indices with the one dimensional Soil-Canopy Observation Photosynthesis and Energy fluxes (SCOPE) canopy radiative transfer model at sun–satellite geometries that occur across the wide swaths of these instruments and examine the geometrical dependencies of the various components (e.g., fraction of absorbed PAR, SIF yield, and escape of SIF from the canopy) of the observed SIF signal. The simulations show that most of the cross-track variations in SIF result from the escape of SIF through the scattering canopy and not the illumination.

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Diverse photosynthetic capacity of global ecosystems mapped by satellite chlorophyll fluorescence measurements

Cited by 77 publications

References 108 publications

Drought stress strengthens the link between chlorophyll fluorescence parameters and photosynthetic traits

Drought stress strengthens the link between chlorophyll fluorescence parameters and photosynthetic traits

The inverse relationship between solar-induced fluorescence yield and photosynthetic capacity: benefits for field phenotyping

Systematic Orbital Geometry-Dependent Variations in Satellite Solar-Induced Fluorescence (SIF) Retrievals

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