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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Published in:PLOS ONE
Main Authors: Kodama, Taketoshi, Taniuchi, Yukiko, Kasai, Hiromi, Yamaguchi, Tamaha, Nakae, Misato, Okumura, Yutaka
Format: Text
Language:English
Published: Public Library of Science 2022
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Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812934/
https://doi.org/10.1371/journal.pone.0257258
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spelling ftpubmed:oai:pubmedcentral.nih.gov:8812934 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 Kodama, Taketoshi Taniuchi, Yukiko Kasai, Hiromi Yamaguchi, Tamaha Nakae, Misato Okumura, Yutaka 2022-02-03 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812934/ https://doi.org/10.1371/journal.pone.0257258 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812934/ http://dx.doi.org/10.1371/journal.pone.0257258 © 2022 Kodama et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. CC-BY PLoS One Research Article Text 2022 ftpubmed https://doi.org/10.1371/journal.pone.0257258 2022-02-06T02:22:53Z 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. Text okhotsk sea PubMed Central (PMC) Okhotsk Oyashio ENVELOPE(157.000,157.000,50.000,50.000) PLOS ONE 17 2 e0257258
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Kodama, Taketoshi
Taniuchi, Yukiko
Kasai, Hiromi
Yamaguchi, Tamaha
Nakae, Misato
Okumura, Yutaka
Empirical estimation of marine phytoplankton assemblages in coastal and offshore areas using an in situ multi-wavelength excitation fluorometer
topic_facet Research Article
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 Text
author Kodama, Taketoshi
Taniuchi, Yukiko
Kasai, Hiromi
Yamaguchi, Tamaha
Nakae, Misato
Okumura, Yutaka
author_facet Kodama, Taketoshi
Taniuchi, Yukiko
Kasai, Hiromi
Yamaguchi, Tamaha
Nakae, Misato
Okumura, Yutaka
author_sort Kodama, Taketoshi
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
publishDate 2022
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812934/
https://doi.org/10.1371/journal.pone.0257258
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
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812934/
http://dx.doi.org/10.1371/journal.pone.0257258
op_rights © 2022 Kodama et al
https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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op_doi https://doi.org/10.1371/journal.pone.0257258
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