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Partitioning Net Ecosystem Exchange (NEE) of CO 2 Using Solar‐Induced Chlorophyll Fluorescence (SIF)
Author(s) -
Kira O.,
YY. Chang C.,
Gu L.,
Wen J.,
Hong Z.,
Sun Y.
Publication year - 2021
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2020gl091247
Subject(s) - primary production , environmental science , ecosystem , carbon cycle , atmospheric sciences , robustness (evolution) , photosynthesis , carbon flux , scalability , remote sensing , computer science , chemistry , ecology , physics , geology , biochemistry , biology , gene , database
Accurate partitioning of net ecosystem exchange (NEE) of CO 2 to gross primary production (GPP) and ecosystem respiration ( R eco ) is crucial for understanding carbon cycle dynamics under changing climate. However, it remains as a long‐standing problem in global ecology due to lack of independent constraining information for the two offsetting component fluxes. solar‐induced chlorophyll fluorescence (SIF), a mechanistic proxy for photosynthesis, holds great promise to improve NEE partitioning by constraining GPP. We developed a parsimonious SIF‐based approach for NEE partitioning and examined its performance using synthetic simulations and field measurements. This approach outperforms conventional approaches in reproducing simulated GPP and R eco , especially under high vapor pressure deficit. For field measurements, it results in lower daytime GPP and R eco than conventional approaches. This study made the first attempt to demonstrate SIF's potential for improving NEE partitioning accuracy and sets the stage for future efforts to examine its robustness and scalability under real‐world environmental conditions.