1. Regional‐Scale Wilting Point Estimation Using Satellite SIF, Radiative‐Transfer Inversion, and Soil‐Vegetation‐Atmosphere Transfer Simulation: A Grassland Study.
- Author
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Kiyono, T., Noda, H. M., Kumagai, T., Oshio, H., Yoshida, Y., Matsunaga, T., and Hikosaka, K.
- Subjects
DROUGHTS ,GRASSLANDS ,FIX-point estimation ,CHLOROPHYLL spectra ,GRASSLAND soils ,CARBON cycle ,BIOPHYSICS ,PHYSIOLOGICAL stress ,SOIL moisture - Abstract
Although water availability strongly controls gross primary production (GPP), the impact of soil moisture content (SMC) (wilting point) is poorly quantified on regional and global scales. In this study, we used 10 years of observations of solar‐induced chlorophyll fluorescence (SIF) from the Greenhouse gases Observing Satellite (GOSAT) satellite to estimate the wilting point of a semiarid grassland on the Mongolian Plateau. Radiative‐transfer model inversion and soil‐vegetation‐atmosphere transfer simulation were sequentially conducted to distinguish the drought impacts on plant physiology from the changes in the leaf‐canopy optical properties. We modified an existing inversion algorithm and the widely used Soil‐Canopy Observation of Photosynthesis and Energy fluxes model to adequately evaluate dryland features, for example, sparse canopy and strong convection. The modified model, with retrieved parameters and calibration to GOSAT SIF, predicted realistic GPP values. We found that (a) the SIF yield estimated from GOSAT showed a clear sigmoidal pattern in relation to drought, and the estimated wilting point matched ground‐based observations in the literature within ∼0.01 m3 m−3 for the SMC, (b) tuning the maximum carboxylation rate improved the SIF prediction after considering the changes in the leaf‐canopy optical properties, implying that GOSAT detected drought stress in leaf‐level photosynthesis, and (c) the surface energy balance significantly impacted the grassland's SIF; the modified model reproduced observed SIF well (mean bias = 0.004 mW m−2 nm−1 sr−1 in summer), whereas the original model predicted substantially low values under weak horizontal wind conditions. Some model‐observation mismatches in the SIF suggest that more research is needed for fluorescence parametrization (e.g., photoinhibition) and for additional observation constraints. Plain Language Summary: Solar‐induced chlorophyll fluorescence, a weak radiation emitted as a byproduct of photosynthesis, can potentially be used to assess plant physiological status, which is especially promising for evaluating poorly quantified soil drought (wilting) impacts on the carbon cycle. However, the potential of satellite‐observed fluorescence to improve wilting prediction by vegetation models has not been sufficiently explored because of the confounding effects of plant physiological stress and visible damage (i.e., leaf browning and defoliation). In this study, we distinguished physiological wilting from visible damage by estimating leaf pigment contents and leaf amounts from satellite‐observed reflectance with the aid of a radiative transfer model and a state‐of‐the‐art vegetation model. We found that some model modifications were necessary to adequately evaluate the dryland features, for example, sparse vegetation cover and thermally induced atmospheric flow. The observed fluorescence showed a clear nonlinear response to the soil moisture content, which is characteristic of wilting. The model‐based analysis suggested that the nonlinear response resulted from physiological stress, and the estimated wilting point matched the ground‐based observations in the literature well. Since our approach is based on biophysics and satellite data, our findings and methods should help in understanding and predicting terrestrial water and carbon cycles in other regions. Key Points: Satellite‐observed chlorophyll fluorescence showed a nonlinear wilting pattern in response to soil droughts on the Mongolian PlateauWe modified the Soil‐Canopy Observation of Photosynthesis and Energy fluxes (SCOPE) model and its ancillary radiative‐transfer inversion algorithm to adequately evaluate dryland featuresThe modifications enabled assessment of the physiological control of photosynthesis and retrieval of the wilting point of the study area [ABSTRACT FROM AUTHOR]
- Published
- 2023
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