Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks.

ABSTRACT: The eddy covariance (EC) technique is used to measure the net ecosystem exchange (NEE) of CO₂ between ecosystems and the atmosphere, offering a unique opportunity to study ecosystem responses to climate change. NEE is the difference between the total CO₂ release due to all respiration processes (RECO), and the gross carbon uptake by photosynthesis (GPP). These two gross CO₂ fluxes are derived from EC measurements by applying partitioning methods that rely on physiologically based functional relationships with a limited number of environmental drivers. However, the partitioning methods applied in the global FLUXNET network of EC observations do not account for the multiple co-acting factors that modulate GPP and RECO flux dynamics. To overcome this limitatio

SUBMITTER: Tramontana G 

PROVIDER: S-EPMC7496462 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature