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Can upscaling ground nadir SIF to eddy covariance footprint improve the relationship between SIF and GPP in croplands?

Journal Article · · Agricultural and Forest Meteorology
 [1];  [2];  [2];  [3];  [4];  [5];  [6];  [4];  [7];  [8]
  1. University of Illinois at Urbana-Champaign, IL (United States); DOE Center for Advanced Bioenergy and Bioproducts Innovation, Urbana, IL (United States); CABBI
  2. University of Illinois at Urbana-Champaign, IL (United States); DOE Center for Advanced Bioenergy and Bioproducts Innovation, Urbana, IL (United States)
  3. University of Illinois at Urbana-Champaign, IL (United States); Seoul National University (South Korea)
  4. University of Illinois at Urbana-Champaign, IL (United States)
  5. University of Virginia, Charlottesville, VA (United States)
  6. University of Illinois at Urbana-Champaign, IL (United States); USDA-ARS, Urbana, IL (United States)
  7. University of Nebraska-Lincoln, NE (United States)
  8. University of Illinois at Urbana-Champaign, IL (United States); University of Western Australia (Australia)
Ground solar-induced chlorophyll fluorescence (SIF) is important for the mechanistic understanding of the dynamics of vegetation gross primary production (GPP) at fine spatiotemporal scales. However, eddy covariance (EC) observations generally cover larger footprint areas than ground SIF observations (a bare fiber with nadir), and this footprint mismatch between nadir SIF and GPP could complicate the canopy SIF-GPP relationships. Here, we upscaled nadir SIF observations to EC footprint and investigated the change in SIF-GPP relationships after the upscaling in cropland. We included 13 site-years data in our study, with seven site-years corn, four site-years soybeans, and two site-years miscanthus, all located in the US Corn Belt. All sites’ crop nadir SIF observations collected from the automated FluoSpec2 system (a hemispheric-nadir system) were upscaled to the GPP footprint-based SIF using vegetation indices (VIs) calculated from high spatiotemporal satellite reflectance data. We found that SIF-GPP relationships were not substantially changed after upscaling nadir SIF to GPP footprint at our crop sites planted with corn, soybean, and miscanthus, with R2 change after the upscaling ranging from -0.007 to 0.051 and root mean square error (RMSE) difference from -0.658 to 0.095 umol m–2 s–1 relative to original nadir SIF-GPP relationships across all the site-years. The variation of the SIF-GPP relationship within each species across different site-years was similar between the original nadir SIF and upscaled SIF. Different VIs, EC footprint models, and satellite data led to marginal differences in the SIF-GPP relationships when upscaling nadir SIF to EC footprint. Furthermore, our study provided a methodological framework to correct this spatial mismatch between ground nadir SIF and GPP observations for croplands and potentially for other ecosystems. Our results also demonstrated that the spatial mismatch between ground nadir SIF and GPP might not significantly affect the SIF-GPP relationship in cropland that are largely homogeneous.
Research Organization:
Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
SC0018420
OSTI ID:
1983761
Journal Information:
Agricultural and Forest Meteorology, Journal Name: Agricultural and Forest Meteorology Vol. 338; ISSN 0168-1923
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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