A Trait-Based Clustering for Phytoplankton Biomass Modeling and Prediction

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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Bibliographic Details
Main Authors: Crispin M. Mutshinda, Zoe V. Finkel, Claire E. Widdicombe, Andrew J. Irwin
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Diversity
Subjects:
Bayesian inference
phytoplankton functional types
Gaussian mixture model
diatoms
dinoflagellates
root mean squared prediction error
Online Access:https://www.mdpi.com/1424-2818/12/8/295

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https://www.mdpi.com/1424-2818/12/8/295

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