Regional Empirical Algorithms for an Improved Identification of Phytoplankton Functional Types and Size Classes in the Mediterranean Sea Using Satellite Data

Regional Empirical Algorithms for an Improved Identification of Phytoplankton Functional Types and Size Classes in the Mediterranean Sea Using Satellite Data

Regional relationships to estimate the main Phytoplankton Functional Types (PFTs) and Size Classes (PSCs) from satellite data are presented. Following the abundance-based approach and selecting the Total Chlorophyll a (TChla) as descriptor of the trophic status of the environment, empirical relation...

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Bibliographic Details
Main Authors: Annalisa Di Cicco, Michela Sammartino, Salvatore Marullo, Rosalia Santoleri
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-05-01
Series:Frontiers in Marine Science
Subjects:
PFTs
PSCs
Mediterranean Sea
regional algorithms
ocean color
Online Access:http://journal.frontiersin.org/article/10.3389/fmars.2017.00126/full

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