Value of sun-induced chlorophyll fluorescence for quantifying hydrological states and fluxes: Current status and challenges

Jonard, François; Cannière, Simon De; Brüggemann, Nicolas; Gentine, Pierre; Gianotti, Daniel J. Short; Lobet, Guillaume; Miralles, Diego G.; Montzka, Carsten; Pagán, Brianna R.; Rascher, Uwe; Vereecken, Harry

doi:10.1016/j.agrformet.2020.108088

Cited by 84 publications

(64 citation statements)

References 190 publications

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“…Second, SIF contains unique physiological information in the form of ΦF 7,29 . ΦF is thought to explain the faster and stronger stress response of SIF compared to structural variables such as APAR, NDVI or EVI (and, in all likelihood, also NIRVP) as observed in extreme events such as drought or heat waves 21,26,35,36,58 . However, these apparent advantages of SIF can be offset by considerable practical limitations in terms of data availability, spatio-temporal resolution and signal quality 1,12,59 (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…For ΦF, most work has been conducted at the leaf-level. Although leaf-level ΦF responds to environmental stress 2,25,26 , ΦF typically varies relatively little compared to the photochemical quantum yield of photosystem II (ΦPSII) both at diurnal and seasonal time scales 27,28 . Evergreen needleleaf forests are the exception to this pattern, with considerable seasonal ΦF variations due to physiological downregulation of photosynthesis during extended cold periods in winter 29,30 .…”

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confidence: 99%

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NIRvP: a robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales

Dechant¹,

Ryu²,

Badgley³

et al. 2022

Preprint

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Sun-induced chlorophyll fluorescence (SIF) is a promising new tool for remotely estimating photosynthesis. However, the degree to which incoming sunlight and the structure of the canopy rather than leaf physiology contribute to SIF variations is still not well characterized. Here we demonstrate that the canopy structure-related near-infrared reflectance of vegetation multiplied by incoming sunlight (NIRvP) is a robust proxy of far-red SIF across a wide range of spatial and temporal scales. Our findings indicate that contributions from leaf physiology to SIF variability are small compared to its structure and radiation components. NIRvP captured spatio-temporal patterns of photosynthesis better than SIF, which seems to be mostly due to the retrieval noise of SIF. Our results highlight the promise of using widely available NIRvP data for vegetation monitoring and also indicate the potential of using SIF and NIRvP in combination to extract physiological information from SIF.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

NIRvP: a robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales

Dechant¹,

Ryu²,

Badgley³

et al. 2022

Preprint

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“…It is difficult to directly quantify spatial variations in the ET flux with the currently available in-situ equipment due to the necessity of installing a large number of measurement stations. Recently, some promising concepts have been published that exploit the relationship between SIF and plant water relations (Damm et al, 2018;Jonard et al, 2020). Following these concepts, we studied the connections between ET to regional measurements of SIF in two steps, which were recorded on this scale by the airborne sensor HyPlant (see Fig.…”

Section: Connecting Sif and Evapotranspiration Flux At The Landscape mentioning

confidence: 99%

CloudRoots: integration of advanced instrumental techniques and process modelling of sub-hourly and sub-kilometre land–atmosphere interactions

Arellano

Ney²,

Hartogensis

et al. 2020

Biogeosciences

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Abstract. The CloudRoots field experiment was designed to obtain a comprehensive observational dataset that includes soil, plant, and atmospheric variables to investigate the interaction between a heterogeneous land surface and its overlying atmospheric boundary layer at the sub-hourly and sub-kilometre scale. Our findings demonstrate the need to include measurements at leaf level to better understand the relations between stomatal aperture and evapotranspiration (ET) during the growing season at the diurnal scale. Based on these observations, we obtain accurate parameters for the mechanistic representation of photosynthesis and stomatal aperture. Once the new parameters are implemented, the model reproduces the stomatal leaf conductance and the leaf-level photosynthesis satisfactorily. At the canopy scale, we find a consistent diurnal pattern on the contributions of plant transpiration and soil evaporation using different measurement techniques. From highly resolved vertical profile measurements of carbon dioxide (CO2) and other state variables, we infer a profile of the CO2 assimilation in the canopy with non-linear variations with height. Observations taken with a laser scintillometer allow us to quantify the non-steadiness of the surface turbulent fluxes during the rapid changes driven by perturbation of photosynthetically active radiation by cloud flecks. More specifically, we find 2 min delays between the cloud radiation perturbation and ET. To study the relevance of advection and surface heterogeneity for the land–atmosphere interaction, we employ a coupled surface–atmospheric conceptual model that integrates the surface and upper-air observations made at different scales from leaf to the landscape. At the landscape scale, we calculate a composite sensible heat flux by weighting measured fluxes with two different land use categories, which is consistent with the diurnal evolution of the boundary layer depth. Using sun-induced fluorescence measurements, we also quantify the spatial variability of ET and find large variations at the sub-kilometre scale around the CloudRoots site. Our study shows that throughout the entire growing season, the wide variations in stomatal opening and photosynthesis lead to large diurnal variations of plant transpiration at the leaf, plant, canopy, and landscape scales. Integrating different advanced instrumental techniques with modelling also enables us to determine variations of ET that depend on the scale where the measurement were taken and on the plant growing stage.

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“…We obtained plant photosynthetic activity (Jonard et al., 2020) based on Solar‐induced chlorophyll fluorescence (SIF, Li & Xiao, 2019) for 2000–2016 (http://globalecology.unh.edu/data.html). SIF provides information on moisture status at the root zone, transpiration, and root water uptake (Jonard et al., 2020; Li & Xiao, 2019). We used Normalized difference vegetation index (NDVI), Leaf Area Index (LAI), and Fraction of Absorbed Photosynthetic Active Radiation (FAPAR) from NOAA Advanced Very High‐Resolution Radiometer (AVHRR) [https://www.ncei.noaa.gov/data/; Ambika & Mishra, 2020] to estimate the changes in vegetation (Loveland et al., 2000).…”

Section: Methodsmentioning

confidence: 99%

Modulation of Compound Extremes of Low Soil Moisture and High Vapor Pressure Deficit by Irrigation in India

Ambika

Mishra

2021

JGR Atmospheres

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Compound extremes of low soil moisture and high vapor pressure deficit (VPD) have implications on terrestrial carbon sequestration, vegetation growth, and net primary productivity (NPP). Yet, the role of irrigation on the occurrence of compound extremes remains unexplored in India. Here, we use satellite observations, reanalysis data sets, and high‐resolution simulations from the Weather Research and Forecasting (WRF) model to show that irrigation significantly reduces the frequency of compound extremes of low soil moisture and high VPD in India. The Indo‐Gangetic plain witnessed a significant (p < 0.05) increase in mean annual soil moisture while a substantial reduction in VPD during 1979–2018. Moreover, irrigation caused considerable cooling over the Indo‐Gangetic plain during 1982–2018. The increase in soil moisture and the decline in VPD partly contributed to a substantial rise in Normalized Difference Vegetation Index (NDVI) and NPP. We conducted high‐resolution simulations using the WRF model to examine the role of irrigation in modulating the frequency of compound extremes during 1979–2018. The WRF simulations under the irrigation‐on show a considerably reduced frequency of the compound extremes compared to the irrigation‐off (control) simulations. Irrigation modulates compound extremes by changing the land surface energy budget and planetary boundary layer height. Therefore, there is a need to consider irrigation for reliable projections of compound extremes under a warming climate in intensively irrigated regions.

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Value of sun-induced chlorophyll fluorescence for quantifying hydrological states and fluxes: Current status and challenges

Cited by 84 publications

References 190 publications

NIRvP: a robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales

NIRvP: a robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales

CloudRoots: integration of advanced instrumental techniques and process modelling of sub-hourly and sub-kilometre land–atmosphere interactions

Modulation of Compound Extremes of Low Soil Moisture and High Vapor Pressure Deficit by Irrigation in India

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