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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ftarchimer:oai:archimer.ifremer.fr:40075 2023-05-15T18:25:36+02:00 Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data Soppa, Mariana A. Hirata, Takafumi Silva, Brenner Dinter, Tilman Peeken, Ilka Wiegmann, Sonja Bracher, Astrid 2014-10 application/pdf https://archimer.ifremer.fr/doc/00290/40075/39289.pdf https://archimer.ifremer.fr/doc/00290/40075/39290.pdf https://doi.org/10.3390/rs61010089 https://archimer.ifremer.fr/doc/00290/40075/ eng eng Mdpi Ag https://archimer.ifremer.fr/doc/00290/40075/39289.pdf https://archimer.ifremer.fr/doc/00290/40075/39290.pdf doi:10.3390/rs61010089 https://archimer.ifremer.fr/doc/00290/40075/ 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). info:eu-repo/semantics/openAccess restricted use CC-BY Remote Sensing (2072-4292) (Mdpi Ag), 2014-10 , Vol. 6 , N. 10 , P. 10089-10106 ocean colour phytoplankton functional types diatom remote sensing chlorophyll-a text Publication info:eu-repo/semantics/article 2014 ftarchimer https://doi.org/10.3390/rs61010089 2021-09-23T20:26:50Z 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 (Z(pd)) 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 (ABA(Zpd)) 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 ABA(Zpd) 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. Article in Journal/Newspaper Southern Ocean Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) Southern Ocean Remote Sensing 6 10 10089 10106 |
institution |
Open Polar |
collection |
Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) |
op_collection_id |
ftarchimer |
language |
English |
topic |
ocean colour phytoplankton functional types diatom remote sensing chlorophyll-a |
spellingShingle |
ocean colour phytoplankton functional types diatom remote sensing chlorophyll-a Soppa, Mariana A. Hirata, Takafumi Silva, Brenner Dinter, Tilman Peeken, Ilka Wiegmann, Sonja Bracher, Astrid Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data |
topic_facet |
ocean colour phytoplankton functional types diatom remote sensing chlorophyll-a |
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 (Z(pd)) 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 (ABA(Zpd)) 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 ABA(Zpd) 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. |
format |
Article in Journal/Newspaper |
author |
Soppa, Mariana A. Hirata, Takafumi Silva, Brenner Dinter, Tilman Peeken, Ilka Wiegmann, Sonja Bracher, Astrid |
author_facet |
Soppa, Mariana A. Hirata, Takafumi Silva, Brenner Dinter, Tilman Peeken, Ilka Wiegmann, Sonja Bracher, Astrid |
author_sort |
Soppa, Mariana A. |
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 |
publishDate |
2014 |
url |
https://archimer.ifremer.fr/doc/00290/40075/39289.pdf https://archimer.ifremer.fr/doc/00290/40075/39290.pdf https://doi.org/10.3390/rs61010089 https://archimer.ifremer.fr/doc/00290/40075/ |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
Remote Sensing (2072-4292) (Mdpi Ag), 2014-10 , Vol. 6 , N. 10 , P. 10089-10106 |
op_relation |
https://archimer.ifremer.fr/doc/00290/40075/39289.pdf https://archimer.ifremer.fr/doc/00290/40075/39290.pdf doi:10.3390/rs61010089 https://archimer.ifremer.fr/doc/00290/40075/ |
op_rights |
2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). info:eu-repo/semantics/openAccess restricted use |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/rs61010089 |
container_title |
Remote Sensing |
container_volume |
6 |
container_issue |
10 |
container_start_page |
10089 |
op_container_end_page |
10106 |
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1766207170919006208 |