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Sustained Nonphotochemical Quenching Shapes the Seasonal Pattern of Solar-Induced Fluorescence at a High-Elevation Evergreen Forest

Journal Article · · Journal of Geophysical Research. Biogeosciences
DOI:https://doi.org/10.1029/2018jg004883· OSTI ID:1611476
 [1];  [2];  [3];  [4];  [5];  [3];  [6];  [7];  [8];  [9];  [10];  [9];  [11];  [9];  [9]
  1. Univ. of Utah, Salt Lake City, UT (United States); DOE/OSTI
  2. Univ. of Helsinki (Finland)
  3. California Institute of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab. (JPL)
  4. Brown Univ., Providence, RI (United States)
  5. California Institute of Technology (CalTech), Pasadena, CA (United States)
  6. Heidelberg Univ. (Germany); Univ. of California, Los Angeles, CA (United States)
  7. Bowdoin College, Brunswick, ME (United States)
  8. Univ. of California, Los Angeles, CA (United States)
  9. Univ. of Utah, Salt Lake City, UT (United States)
  10. National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States); Univ. of Colorado, Boulder, CO (United States)
  11. Univ. of Virginia, Charlottesville, VA (United States)
Traditional methods of carbon monitoring in mountainous regions are challenged by complex terrain. Recently, solar-induced fluorescence (SIF) has been found to be an indicator of gross primary production (GPP), and the increased availability of remotely sensed SIF provides an opportunity to estimate GPP across the Western United States. Although the empirical linkage between SIF and GPP is strong, the current mechanistic understanding of this linkage is incomplete and depends upon changes in leaf biochemical processes in which absorbed sunlight leads to photochemistry, heat (via nonphotochemical quenching [NPQ]), fluorescence, or tissue damage. An improved mechanistic understanding is necessary to leverage SIF observations to improve representation of ecosystem processes within land surface models. Here we included an improved fluorescence model within the Community Land Model, Version 4.5 (CLM 4.5), to simulate seasonal changes in SIF at a subalpine forest in Colorado. We found that when the model accounted for sustained NPQ, this provided a larger seasonal change in fluorescence yield leading to simulated SIF that more closely resembled the observed seasonal pattern (Global Ozone Monitoring Experiment-2 [GOME-2] satellite platform and a tower-mounted spectrometer system). We found that an acclimation model based on mean air temperature was a useful predictor for sustained NPQ. Although light intensity was not an important factor for this analysis, it should be considered before applying the sustained NPQ and SIF to other cold climate evergreen biomes. More leaf-level fluorescence measurements are necessary to better understand the seasonal relationship between sustained and reversible components of NPQ and to what extent that influences SIF.
Research Organization:
Univ. of Utah, Salt Lake City, UT (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
SC0010624; SC0010625
OSTI ID:
1611476
Alternate ID(s):
OSTI ID: 1542505
Journal Information:
Journal of Geophysical Research. Biogeosciences, Journal Name: Journal of Geophysical Research. Biogeosciences Journal Issue: 7 Vol. 124; ISSN 2169-8953
Publisher:
American Geophysical UnionCopyright Statement
Country of Publication:
United States
Language:
English

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