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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,...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Crispin M. Mutshinda, Zoe V. Finkel, Claire E. Widdicombe, Andrew J. Irwin
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2020-07-01
Schriftenreihe:Diversity
Schlagworte:
Bayesian inference
phytoplankton functional types
Gaussian mixture model
diatoms
dinoflagellates
root mean squared prediction error
Online-Zugang:https://www.mdpi.com/1424-2818/12/8/295
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