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

Weiwei Zhan,Xi Yang,Youngryel Ryu,Benjamin Dechant, Yu Huang,Yves Goulas,Minseok Kang,Pierre Gentine

Agricultural and Forest Meteorology（2022）

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摘要

•A machine learning method (NNSIF) is developed to partition NEE using SIF.•NNSIF effectively reduces structural errors of standard partitioning methods.•NNSIF better partitions NEE under high temperature and water stress.•NNSIF unravels physiological controls on ecosystem–scale GPP–SIF relationships.

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关键词

Gross primary productivity,Solar-induced chlorophyll fluorescence,Ecosystem respiration,Eddy-covariance,Carbon fluxes partitioning,Machine learning

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