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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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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