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Published March 2021 | Supplemental Material
Journal Article Open

Moisture availability mediates the relationship between terrestrial gross primary production and solar‐induced chlorophyll fluorescence: Insights from global‐scale variations

Abstract

Effective use of solar‐induced chlorophyll fluorescence (SIF) to estimate and monitor gross primary production (GPP) in terrestrial ecosystems requires a comprehensive understanding and quantification of the relationship between SIF and GPP. To date, this understanding is incomplete and somewhat controversial in the literature. Here we derived the GPP/SIF ratio from multiple data sources as a diagnostic metric to explore its global‐scale patterns of spatial variation and potential climatic dependence. We found that the growing season GPP/SIF ratio varied substantially across global land surfaces, with the highest ratios consistently found in boreal regions. Spatial variation in GPP/SIF was strongly modulated by climate variables. The most striking pattern was a consistent decrease in GPP/SIF from cold‐and‐wet climates to hot‐and‐dry climates. We propose that the reduction in GPP/SIF with decreasing moisture availability may be related to stomatal responses to aridity. Furthermore, we show that GPP/SIF can be empirically modeled from climate variables using a machine learning (random forest) framework, which can improve the modeling of ecosystem production and quantify its uncertainty in global terrestrial biosphere models. Our results point to the need for targeted field and experimental studies to better understand the patterns observed and to improve the modeling of the relationship between SIF and GPP over broad scales.

Additional Information

© 2020 John Wiley & Sons Ltd. Issue Online: 16 February 2021; Version of Record online: 25 October 2020; Accepted manuscript online: 01 October 2020; Manuscript accepted: 28 August 2020; Manuscript received: 25 March 2020. The work was supported by an Oak Ridge National Lab (ORNL) subcontract (4000167205), and partially supported by the Terrestrial Ecosystem Science Scientific Focus Area (TES SFA) project, the Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computation Science Focus Area (RUBISCO SFA) project, and the Energy Exascale Earth System Model (E3SM) project in the Earth and Environmental Systems Sciences Division (EESSD) of the Biological and Environmental Research (BER) office in the US Department of Energy (DOE) Office of Science. ORNL is managed by UT‐BATTELLE, LLC, for DOE under contract no. DE‐AC05‐00OR22725. J.X. and X.L. were supported by the National Aeronautics and Space Administration (NASA)'s Climate Indicators and Data Products for Future National Climate Assessments (grant number: NNX16AG61G). We also thank two anonymous reviewers for their constructive comments which helped improve our manuscript. Data Availability Statement: The data that support the findings of this study are openly available, hosted by different agencies and institutions. The GOSAT SIF data are available on request from Christian Frankenberg (cfranken@caltech.edu). The GOME‐2 SIF data are available at https://avdc.gsfc.nasa.gov/pub/data/satellite/MetOp/GOME_F/v28/. The GOSIF data are available at http://globalecology.unh.edu/. The TROPOMI SIF data are available at ftp://fluo.gps.caltech.edu/data/tropomi/. The FLUXCOM GPP data are available at https://www.bgc‐jena.mpg.de/geodb/projects/Data.php. The MODIS GPP data are available at https://e4ftl01.cr.usgs.gov/MOLT/MOD17A2H.006/. The CRU climatic data are available at http://www.cru.uea.ac.uk/data/. The SMOS‐IC soil moisture data are available at ftp://ext‐catds‐cecsm:catds2010@ftp.ifremer.fr/Land_products.

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Additional details

Created:
August 22, 2023
Modified:
October 23, 2023