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Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescenceQuantifying global photosynthesis remains a challenge due to a lack of accurate remote sensing proxies. Solar-induced chlorophyll fluorescence (SIF) has been shown to be a good indicator of photosynthetic activity across various spatial scales. However, a global and spatially challenging estimate of terrestrial gross primary production (GPP) based on satellite SIF remains unresolved due to the confounding effects of species-specific physical and physiological traits and external factors, such as canopy structure or photosynthetic pathway (C3orC4). Here we analyze an ensemble of far-red SIF data from OCO-2 satellite and ground observations at multiple sites, using the spectral invariant theory to reduce the effects of canopy structure and to retrieve a structure-corrected total canopy SIF emission (SIF total). We find that the relationships between observed canopy-leavingSIF and ecosystem GPP vary significantly among biomes. In contrast, the relationships between SIF total and GPP converge around two unique models, one for C3and one for C4plants. We show that the two single empirical models can be used to globally scale satellite SIF observations to terrestrial GPP. We obtain an independent estimate of global terrestrial GPP of 129.56 ± 6.54 PgC/year for the 2015–2017 period, which is consistent with the state-of-the-art data- and process-oriented models. The new GPP product shows improved sensitivity to previously undetected ‘hotspots’ of productivity, being able to resolve the double-peak in GPP due to rotational cropping systems. We suggest that the direct scheme to estimate GPP presented here, which is based on satelliteSIF, may open up new possibilities to resolve the dynamics of global terrestrial GPP across space and time.
Document ID
20210014809
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Zhaoying Zhang
(Jiangsu Provincial Key Laboratory of Network and Information Security Nanjing, China)
Yongguang Zhang
(Jiangsu Provincial Key Laboratory of Network and Information Security Nanjing, China)
Albert Porcar-Castell
(University of Helsinki Helsinki, Finland)
Joanna Joiner
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Luis Guanter
(Universitat Politècnica de València Valencia, Spain)
Xi Yang
(University of Virginia Charlottesville, Virginia, United States)
Mirco Migliavacca
(Max Planck Institute for Biogeochemistry Jena, Germany)
Weimin Ju
(Jiangsu Provincial Key Laboratory of Network and Information Security Nanjing, China)
Zhigang Sun
(Chinese Academy of Sciences Beijing, Beijing, China)
Shiping Chen
(Chinese Academy of Sciences Beijing, Beijing, China)
David Martini
(Max Planck Institute for Biogeochemistry Jena, Germany)
Qian Zhang
(Jiangsu Provincial Key Laboratory of Network and Information Security Nanjing, China)
Zhaohui Li
(Jiangsu Provincial Key Laboratory of Network and Information Security Nanjing, China)
James Cleverly
(University of Technology Sydney Sydney, New South Wales, Australia)
Hezhou Wang
(Chinese Academy of Agricultural Sciences Beijing, China)
Yves Goulas
(École Polytechnique Palaiseau, France)
Date Acquired
April 29, 2021
Publication Date
February 20, 2020
Publication Information
Publication: Remote Sensing of Environment
Publisher: Elsevier
Volume: 240
Issue Publication Date: February 12, 2020
Subject Category
Geosciences (General)
Funding Number(s)
WBS: 281945.02.61.04.96
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Peer Committee
Keywords
scale satellite SIF observations to terrestrial GPP
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