Empirical estimation of marine phytoplankton assemblages in coastal and offshore areas using an in situ multi-wavelength excitation fluorometer.
Phytoplankton assemblages are essential for understanding the quality of primary production in marine ecosystems. Here, we describe the development of a methodology for monitoring marine phytoplankton assemblages using an in situ multi-wavelength excitation fluorometer (MEX). The MEX recorded the fl...
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ftdoajarticles:oai:doaj.org/article:06a982ba07b748489731b19691713cca 2023-05-15T17:52:38+02:00 Empirical estimation of marine phytoplankton assemblages in coastal and offshore areas using an in situ multi-wavelength excitation fluorometer. Taketoshi Kodama Yukiko Taniuchi Hiromi Kasai Tamaha Yamaguchi Misato Nakae Yutaka Okumura 2022-01-01T00:00:00Z https://doi.org/10.1371/journal.pone.0257258 https://doaj.org/article/06a982ba07b748489731b19691713cca EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pone.0257258 https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0257258 https://doaj.org/article/06a982ba07b748489731b19691713cca PLoS ONE, Vol 17, Iss 2, p e0257258 (2022) Medicine R Science Q article 2022 ftdoajarticles https://doi.org/10.1371/journal.pone.0257258 2022-12-31T04:09:45Z Phytoplankton assemblages are essential for understanding the quality of primary production in marine ecosystems. Here, we describe the development of a methodology for monitoring marine phytoplankton assemblages using an in situ multi-wavelength excitation fluorometer (MEX). The MEX recorded the fluorescence excited with nine light-emitting diodes, temperature, and sensor depth. We prepared reference datasets comprising MEX fluorescence and plant pigment-based phytoplankton assemblages of nine chemotaxonomy groups (diatoms, dinoflagellates, cryptophytes, chlorophytes, haptophytes type 3, haptophytes type 4, prasinophytes, cyanophytes, and prochlorophytes). Conversions from the MEX fluorescence to the phytoplankton assemblages were conducted with two processes. First, target MEX fluorescence was decomposed using a linear inverse model for calculating coefficients. Second, pigment-based chemotaxonomy of the target MEX fluorescence was reconstructed using the coefficients and the chemotaxonomy assemblages of the reference data. Cross-validation analyses indicated good estimation of the proportion of diatoms, dinoflagellates, cryptophytes, cyanophytes, and prochlorophytes with MEX, and when chlorophytes, haptophytes and prasinophytes were summarized as other eukaryotes, the positive correlation was seen between proportions estimated with MEX and pigments as same as other five chemotaxonomy groups. Repeated MEX observations were conducted in the Kuroshio, the Sea of Japan, the Oyashio, and the Okhotsk Sea. The water-column integrated biomass indicated that the diatoms were an important primary producer in the Oyashio and the Okhotsk Sea, while eukaryotes were important in the Sea of Japan and prochlorophytes were important in the Kuroshio. Our method with the MEX will be a powerful tool to understand and estimate the chemotaxonomy-level assemblages and biomass in the ocean. Article in Journal/Newspaper okhotsk sea Directory of Open Access Journals: DOAJ Articles Okhotsk Oyashio ENVELOPE(157.000,157.000,50.000,50.000) PLOS ONE 17 2 e0257258 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Taketoshi Kodama Yukiko Taniuchi Hiromi Kasai Tamaha Yamaguchi Misato Nakae Yutaka Okumura Empirical estimation of marine phytoplankton assemblages in coastal and offshore areas using an in situ multi-wavelength excitation fluorometer. |
topic_facet |
Medicine R Science Q |
description |
Phytoplankton assemblages are essential for understanding the quality of primary production in marine ecosystems. Here, we describe the development of a methodology for monitoring marine phytoplankton assemblages using an in situ multi-wavelength excitation fluorometer (MEX). The MEX recorded the fluorescence excited with nine light-emitting diodes, temperature, and sensor depth. We prepared reference datasets comprising MEX fluorescence and plant pigment-based phytoplankton assemblages of nine chemotaxonomy groups (diatoms, dinoflagellates, cryptophytes, chlorophytes, haptophytes type 3, haptophytes type 4, prasinophytes, cyanophytes, and prochlorophytes). Conversions from the MEX fluorescence to the phytoplankton assemblages were conducted with two processes. First, target MEX fluorescence was decomposed using a linear inverse model for calculating coefficients. Second, pigment-based chemotaxonomy of the target MEX fluorescence was reconstructed using the coefficients and the chemotaxonomy assemblages of the reference data. Cross-validation analyses indicated good estimation of the proportion of diatoms, dinoflagellates, cryptophytes, cyanophytes, and prochlorophytes with MEX, and when chlorophytes, haptophytes and prasinophytes were summarized as other eukaryotes, the positive correlation was seen between proportions estimated with MEX and pigments as same as other five chemotaxonomy groups. Repeated MEX observations were conducted in the Kuroshio, the Sea of Japan, the Oyashio, and the Okhotsk Sea. The water-column integrated biomass indicated that the diatoms were an important primary producer in the Oyashio and the Okhotsk Sea, while eukaryotes were important in the Sea of Japan and prochlorophytes were important in the Kuroshio. Our method with the MEX will be a powerful tool to understand and estimate the chemotaxonomy-level assemblages and biomass in the ocean. |
format |
Article in Journal/Newspaper |
author |
Taketoshi Kodama Yukiko Taniuchi Hiromi Kasai Tamaha Yamaguchi Misato Nakae Yutaka Okumura |
author_facet |
Taketoshi Kodama Yukiko Taniuchi Hiromi Kasai Tamaha Yamaguchi Misato Nakae Yutaka Okumura |
author_sort |
Taketoshi Kodama |
title |
Empirical estimation of marine phytoplankton assemblages in coastal and offshore areas using an in situ multi-wavelength excitation fluorometer. |
title_short |
Empirical estimation of marine phytoplankton assemblages in coastal and offshore areas using an in situ multi-wavelength excitation fluorometer. |
title_full |
Empirical estimation of marine phytoplankton assemblages in coastal and offshore areas using an in situ multi-wavelength excitation fluorometer. |
title_fullStr |
Empirical estimation of marine phytoplankton assemblages in coastal and offshore areas using an in situ multi-wavelength excitation fluorometer. |
title_full_unstemmed |
Empirical estimation of marine phytoplankton assemblages in coastal and offshore areas using an in situ multi-wavelength excitation fluorometer. |
title_sort |
empirical estimation of marine phytoplankton assemblages in coastal and offshore areas using an in situ multi-wavelength excitation fluorometer. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2022 |
url |
https://doi.org/10.1371/journal.pone.0257258 https://doaj.org/article/06a982ba07b748489731b19691713cca |
long_lat |
ENVELOPE(157.000,157.000,50.000,50.000) |
geographic |
Okhotsk Oyashio |
geographic_facet |
Okhotsk Oyashio |
genre |
okhotsk sea |
genre_facet |
okhotsk sea |
op_source |
PLoS ONE, Vol 17, Iss 2, p e0257258 (2022) |
op_relation |
https://doi.org/10.1371/journal.pone.0257258 https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0257258 https://doaj.org/article/06a982ba07b748489731b19691713cca |
op_doi |
https://doi.org/10.1371/journal.pone.0257258 |
container_title |
PLOS ONE |
container_volume |
17 |
container_issue |
2 |
container_start_page |
e0257258 |
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1766160325464293376 |