Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data

Diatoms are the major marine primary producers on the global scale and, recently, several methods have been developed to retrieve their abundance or dominance from satellite remote sensing data. In this work, we highlight the importance of the Southern Ocean (SO) in developing a global algorithm for...

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Main Authors: Mariana A. Soppa, Takafumi Hirata, Brenner Silva, Tilman Dinter, Ilka Peeken, Sonja Wiegmann, Astrid Bracher
Format: Article
Language:English
Published: MDPI AG 2014-10-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/6/10/10089
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spelling doaj-a68f2e1638064077812cafad12332aa62020-11-25T01:11:49ZengMDPI AGRemote Sensing2072-42922014-10-01610100891010610.3390/rs61010089rs61010089Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite DataMariana A. Soppa0Takafumi Hirata1Brenner Silva2Tilman Dinter3Ilka Peeken4Sonja Wiegmann5Astrid Bracher6Alfred-Wegener-Institute Helmholtz Center for Polar and Marine Research, Am Handelshafen 12, D-27570 Bremerhaven, GermanyFaculty of Environmental Earth Science, Hokkaido University, N10W5, Kita-Ku, Sapporo 060-0810, JapanLaboratory for Climatology and Remote Sensing, Philipps-Universität Marburg, Deutschhausstr. 12, D-35037 Marburg, GermanyAlfred-Wegener-Institute Helmholtz Center for Polar and Marine Research, Am Handelshafen 12, D-27570 Bremerhaven, GermanyAlfred-Wegener-Institute Helmholtz Center for Polar and Marine Research, Am Handelshafen 12, D-27570 Bremerhaven, GermanyAlfred-Wegener-Institute Helmholtz Center for Polar and Marine Research, Am Handelshafen 12, D-27570 Bremerhaven, GermanyAlfred-Wegener-Institute Helmholtz Center for Polar and Marine Research, Am Handelshafen 12, D-27570 Bremerhaven, GermanyDiatoms are the major marine primary producers on the global scale and, recently, several methods have been developed to retrieve their abundance or dominance from satellite remote sensing data. In this work, we highlight the importance of the Southern Ocean (SO) in developing a global algorithm for diatom using an Abundance Based Approach (ABA). A large global in situ data set of phytoplankton pigments was compiled, particularly with more samples collected in the SO. We revised the ABA to take account of the information on the penetration depth (Zpd) and to improve the relationship between diatoms and total chlorophyll-a (TChla). The results showed that there is a distinct relationship between diatoms and TChla in the SO, and a new global model (ABAZpd) improved the estimation of diatoms abundance by 28% in the SO compared with the original ABA model. In addition, we developed a regional model for the SO which further improved the retrieval of diatoms by 17% compared with the global ABAZpd model. As a result, we found that diatom may be more abundant in the SO than previously thought. Linear trend analysis of diatom abundance using the regional model for the SO showed that there are statistically significant trends, both increasing and decreasing, in diatom abundance over the past eleven years in the region.http://www.mdpi.com/2072-4292/6/10/10089ocean colourphytoplankton functional typesdiatomremote sensingchlorophyll-a
collection DOAJ
language English
format Article
sources DOAJ
author Mariana A. Soppa
Takafumi Hirata
Brenner Silva
Tilman Dinter
Ilka Peeken
Sonja Wiegmann
Astrid Bracher
spellingShingle Mariana A. Soppa
Takafumi Hirata
Brenner Silva
Tilman Dinter
Ilka Peeken
Sonja Wiegmann
Astrid Bracher
Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data
Remote Sensing
ocean colour
phytoplankton functional types
diatom
remote sensing
chlorophyll-a
author_facet Mariana A. Soppa
Takafumi Hirata
Brenner Silva
Tilman Dinter
Ilka Peeken
Sonja Wiegmann
Astrid Bracher
author_sort Mariana A. Soppa
title Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data
title_short Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data
title_full Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data
title_fullStr Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data
title_full_unstemmed Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data
title_sort global retrieval of diatom abundance based on phytoplankton pigments and satellite data
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2014-10-01
description Diatoms are the major marine primary producers on the global scale and, recently, several methods have been developed to retrieve their abundance or dominance from satellite remote sensing data. In this work, we highlight the importance of the Southern Ocean (SO) in developing a global algorithm for diatom using an Abundance Based Approach (ABA). A large global in situ data set of phytoplankton pigments was compiled, particularly with more samples collected in the SO. We revised the ABA to take account of the information on the penetration depth (Zpd) and to improve the relationship between diatoms and total chlorophyll-a (TChla). The results showed that there is a distinct relationship between diatoms and TChla in the SO, and a new global model (ABAZpd) improved the estimation of diatoms abundance by 28% in the SO compared with the original ABA model. In addition, we developed a regional model for the SO which further improved the retrieval of diatoms by 17% compared with the global ABAZpd model. As a result, we found that diatom may be more abundant in the SO than previously thought. Linear trend analysis of diatom abundance using the regional model for the SO showed that there are statistically significant trends, both increasing and decreasing, in diatom abundance over the past eleven years in the region.
topic ocean colour
phytoplankton functional types
diatom
remote sensing
chlorophyll-a
url http://www.mdpi.com/2072-4292/6/10/10089
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