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Predicting global distributions of eukaryotic plankton communities from satellite data

Predicting global distributions of eukaryotic plankton communities from satellite data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10517053

Publication information

Publisher

London: Oxford University Press

More information

Scope and Contents

Contents

Satellite remote sensing is a powerful tool to monitor the global dynamics of marine plankton. Previous research has focused on developing models to predict the size or taxonomic groups of phytoplankton. Here, we present an approach to identify community types from a global plankton network that includes phytoplankton and heterotrophic protists and...

Alternative Titles

Full title

Predicting global distributions of eukaryotic plankton communities from satellite data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10517053

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10517053

Other Identifiers

ISSN

2730-6151

E-ISSN

2730-6151

DOI

10.1038/s43705-023-00308-7

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