A Trait-Based Clustering for Phytoplankton Biomass Modeling and Prediction
When designing models for predicting phytoplankton biomass or characterizing traits, it is useful to aggregate the myriad of species into a few biologically meaningful groups and focus on group-level attributes, the common practice being to combine phytoplankton species by functional types. However,...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2020-07-01
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| Serie: | Diversity |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/1424-2818/12/8/295 |
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