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Evaluating photosynthetic activity across Arctic-Boreal land cover types using solar-induced fluorescence

Cheng, Rui and Magney, Troy S. and Orcutt, Erica L. and Pierrat, Zoe and Köhler, Philipp and Bowling, David R. and Bret-Harte, M. Syndonia and Euskirchen, Eugénie S. and Jung, Martin and Kobayashi, Hideki and Rocha, Adrian V. and Sonnentag, Oliver and Stutz, Jochen and Walther, Sophia and Zona, Donatella and Frankenberg, Christian (2022) Evaluating photosynthetic activity across Arctic-Boreal land cover types using solar-induced fluorescence. Environmental Research Letters, 17 (11). Art. No. 115009. ISSN 1748-9326. doi:10.1088/1748-9326/ac9dae.

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Photosynthesis of terrestrial ecosystems in the Arctic-Boreal region is a critical part of the global carbon cycle. Solar-induced chlorophyll Fluorescence (SIF), a promising proxy for photosynthesis with physiological insight, has been used to track gross primary production (GPP) at regional scales. Recent studies have constructed empirical relationships between SIF and eddy covariance-derived GPP as a first step to predicting global GPP. However, high latitudes pose two specific challenges: (a) Unique plant species and land cover types in the Arctic–Boreal region are not included in the generalized SIF-GPP relationship from lower latitudes, and (b) the complex terrain and sub-pixel land cover further complicate the interpretation of the SIF-GPP relationship. In this study, we focused on the Arctic-Boreal vulnerability experiment (ABoVE) domain and evaluated the empirical relationships between SIF for high latitudes from the TROPOspheric Monitoring Instrument (TROPOMI) and a state-of-the-art machine learning GPP product (FluxCom). For the first time, we report the regression slope, linear correlation coefficient, and the goodness of the fit of SIF-GPP relationships for Arctic-Boreal land cover types with extensive spatial coverage. We found several potential issues specific to the Arctic-Boreal region that should be considered: (a) unrealistically high FluxCom GPP due to the presence of snow and water at the subpixel scale; (b) changing biomass distribution and SIF-GPP relationship along elevational gradients, and (c) limited perspective and misrepresentation of heterogeneous land cover across spatial resolutions. Taken together, our results will help improve the estimation of GPP using SIF in terrestrial biosphere models and cope with model-data uncertainties in the Arctic-Boreal region.

Item Type:Article
Related URLs:
URLURL TypeDescription
Cheng, Rui0000-0002-3003-8339
Magney, Troy S.0000-0002-9033-0024
Orcutt, Erica L.0000-0003-3277-5209
Pierrat, Zoe0000-0002-6726-2406
Köhler, Philipp0000-0002-7820-1318
Bowling, David R.0000-0002-3864-4042
Bret-Harte, M. Syndonia0000-0001-5151-3947
Euskirchen, Eugénie S.0000-0002-0848-4295
Jung, Martin0000-0002-7569-1390
Rocha, Adrian V.0000-0002-4618-2407
Sonnentag, Oliver0000-0001-9333-9721
Stutz, Jochen0000-0001-6368-7629
Walther, Sophia0000-0003-1681-9304
Zona, Donatella0000-0002-0003-4839
Frankenberg, Christian0000-0002-0546-5857
Additional Information:Focus collection: Resiliency and Vulnerability of Arctic and Boreal Ecosystems to Environmental Change: Advances and Outcomes of ABoVE (the Arctic Boreal Vulnerability Experiment) This research is supported by the NASA ABoVE (Award 80NSSC19M0129) and OCO Science team projects (Award 80NSSC18K0895). This material is also based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant Nos. DGE-1650604 and DGE-2034835. Funding for US-BZB, US-BZF, US-BZS, US-ICh, US-ICs, and US-ICt was provided by the US Geological Survey, Research Work Order 224 to the University of Alaska Fairbanks, the Bonanza Creek Long-Term Ecological Research Program funded by the National Science Foundation (NSF DEB-1026415, DEB-1636476), the NSF Long-Term Research in Environmental Biology Program (NSF LTREB 2011276), and the NSF Arctic Observatory Network Program (NSF 1936752, 1503912, and 110789). Oliver Sonnentag acknowledges funding by the Canada Research Chairs, Canada Foundation for Innovation Leaders Opportunity Fund, and Natural Sciences and Engineering Research Council Discovery Grant programs. Sophia Walther acknowledges support from ESA within the Living Planet Fellowship project 'Vad3e mecum'. We use a Julia gridding package from Data availability statement. The data that support the findings of this study are openly available at the following URL/DOI:
Group:Division of Geological and Planetary Sciences
Funding AgencyGrant Number
NSF Graduate Research FellowhipDGE-1650604
NSF Graduate Research FellowshipDGE-2034835
Canada Research Chairs ProgramUNSPECIFIED
Canada Foundation for InnovationUNSPECIFIED
Natural Sciences and Engineering Research Council of Canada (NSERC)UNSPECIFIED
European Space Agency (ESA)UNSPECIFIED
Issue or Number:11
Record Number:CaltechAUTHORS:20221128-494241100.36
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:118075
Deposited By: Research Services Depository
Deposited On:20 Dec 2022 18:41
Last Modified:20 Dec 2022 18:47

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