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Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using machine learning

2022-06-01

Abstract excerpt

Accurately partitioning net ecosystem exchange (NEE) into ecosystem respiration (ER) and gross primary productivity (GPP) is critical for understanding the terrestrial carbon cycle. The standard partitioning methods rely on simplified empirical models, which have inherent structural errors. These structural errors lead to biased GPP and ER estimation, especially during extreme events (e.g., drought) and human dist...

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Literature Corpus work
77074438-8f6a-5497-b8cb-79b31772061c
DOI
10.1016/j.agrformet.2022.108980
Open publication

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Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using machine learningDOI 10.1016/j.agrformet.2022.108980
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