Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks.
carbon dioxide fluxes partitioning
ecosystem respiration (RECO)
eddy covariance
gross primary production (GPP)
machine learning
net ecosystem exchange
neural network
Journal
Global change biology
ISSN: 1365-2486
Titre abrégé: Glob Chang Biol
Pays: England
ID NLM: 9888746
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
received:
13
09
2019
accepted:
28
04
2020
pubmed:
5
6
2020
medline:
30
1
2021
entrez:
5
6
2020
Statut:
ppublish
Résumé
The eddy covariance (EC) technique is used to measure the net ecosystem exchange (NEE) of CO
Identifiants
pubmed: 32497360
doi: 10.1111/gcb.15203
pmc: PMC7496462
doi:
Substances chimiques
Carbon Dioxide
142M471B3J
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5235-5253Subventions
Organisme : NASA
ID : NNH17AE86I
Pays : United States
Organisme : European Commission
ID : 755617
Organisme : the EU's Horizon 2020 Programme
ID : GA 703944
Organisme : European Commission
ID : 640176
Organisme : European Commission
ID : 647423
Organisme : European Research Council
ID : 755617
Pays : International
Organisme : the EU's Horizon 2020 Programme
ID : GA 820852
Organisme : European Commission
ID : 703944
Informations de copyright
© 2020 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
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