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Contrasting phytoplankton-zooplankton distributions observed through autonomous platforms, in-situ optical sensors and discrete sampling

Plankton distributions are remarkably ‘patchy’ in the ocean. In this study, we investigated the contrasting phytoplankton-zooplankton distributions in relation to wind mixing events in waters around a biodiversity-rich island (Runde) located off the western coast of Norway. We used adaptive sampling...

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Autores principales: Fragoso, Glaucia M., Davies, Emlyn J., Fossum, Trygve O., Ullgren, Jenny E., Majaneva, Sanna, Aberle, Nicole, Ludvigsen, Martin, Johnsen, Geir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9447933/
https://www.ncbi.nlm.nih.gov/pubmed/36067176
http://dx.doi.org/10.1371/journal.pone.0273874
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author Fragoso, Glaucia M.
Davies, Emlyn J.
Fossum, Trygve O.
Ullgren, Jenny E.
Majaneva, Sanna
Aberle, Nicole
Ludvigsen, Martin
Johnsen, Geir
author_facet Fragoso, Glaucia M.
Davies, Emlyn J.
Fossum, Trygve O.
Ullgren, Jenny E.
Majaneva, Sanna
Aberle, Nicole
Ludvigsen, Martin
Johnsen, Geir
author_sort Fragoso, Glaucia M.
collection PubMed
description Plankton distributions are remarkably ‘patchy’ in the ocean. In this study, we investigated the contrasting phytoplankton-zooplankton distributions in relation to wind mixing events in waters around a biodiversity-rich island (Runde) located off the western coast of Norway. We used adaptive sampling from AUV and shipboard profiles of in-situ phytoplankton photo-physiology and particle identification (copepods, fecal pellets and the dinoflagellate Tripos spp.) and quantification using optical and imaging sensors. Additionally, traditional seawater and net sampling were collected for nutrient and in-vitro chlorophyll a concentrations and phytoplankton and meso-zooplankton abundances. Persistent strong wind conditions (~5 days) disrupted the stratification in offshore regions, while stratification and a subsurface chlorophyll maximum (SCM) were observed above the base of the mixed layer depth (MLD ~30 m) in inshore waters. Contrasting phytoplankton and zooplankton abundances were observed between inshore (with the presence of a SCM) and offshore waters (without the presence of a SCM). At the SCM, phytoplankton abundances (Tripos spp., the diatom Proboscia alata and other flagellates) were half (average of 200 cell L(-1)) of those observed offshore. On the contrary, meso-zooplankton counts were ~6× higher (732 ind m(-3) for Calanus spp.) inshore (where a SCM was observed) compared to offshore areas. In parallel, fecal pellets and ammonium concentrations were high (>1000 ind m(-3) for the upper 20 m) at the SCM, suggesting that the shallow mixed layer might have increased encounter rates and promoted strong grazing pressure. Low nutrient concentrations (< 1μM for nitrate) were found below the MLD (60 m) in offshore waters, suggesting that mixing and nutrient availability likely boosted phytoplankton abundances. The size of the absorption cross-section (σ(PII)’) and yield of photosystem II photochemistry under ambient light (φ(PII)’) changed according to depth, while the depth-related electron flow (J(PII)) was similar between regions, suggesting a high degree of community plasticity to changes in the light regime. Our results emphasize the importance of using multiple instrumentation, in addition to traditional seawater and net sampling for a holistic understanding of plankton distributions.
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spelling pubmed-94479332022-09-07 Contrasting phytoplankton-zooplankton distributions observed through autonomous platforms, in-situ optical sensors and discrete sampling Fragoso, Glaucia M. Davies, Emlyn J. Fossum, Trygve O. Ullgren, Jenny E. Majaneva, Sanna Aberle, Nicole Ludvigsen, Martin Johnsen, Geir PLoS One Research Article Plankton distributions are remarkably ‘patchy’ in the ocean. In this study, we investigated the contrasting phytoplankton-zooplankton distributions in relation to wind mixing events in waters around a biodiversity-rich island (Runde) located off the western coast of Norway. We used adaptive sampling from AUV and shipboard profiles of in-situ phytoplankton photo-physiology and particle identification (copepods, fecal pellets and the dinoflagellate Tripos spp.) and quantification using optical and imaging sensors. Additionally, traditional seawater and net sampling were collected for nutrient and in-vitro chlorophyll a concentrations and phytoplankton and meso-zooplankton abundances. Persistent strong wind conditions (~5 days) disrupted the stratification in offshore regions, while stratification and a subsurface chlorophyll maximum (SCM) were observed above the base of the mixed layer depth (MLD ~30 m) in inshore waters. Contrasting phytoplankton and zooplankton abundances were observed between inshore (with the presence of a SCM) and offshore waters (without the presence of a SCM). At the SCM, phytoplankton abundances (Tripos spp., the diatom Proboscia alata and other flagellates) were half (average of 200 cell L(-1)) of those observed offshore. On the contrary, meso-zooplankton counts were ~6× higher (732 ind m(-3) for Calanus spp.) inshore (where a SCM was observed) compared to offshore areas. In parallel, fecal pellets and ammonium concentrations were high (>1000 ind m(-3) for the upper 20 m) at the SCM, suggesting that the shallow mixed layer might have increased encounter rates and promoted strong grazing pressure. Low nutrient concentrations (< 1μM for nitrate) were found below the MLD (60 m) in offshore waters, suggesting that mixing and nutrient availability likely boosted phytoplankton abundances. The size of the absorption cross-section (σ(PII)’) and yield of photosystem II photochemistry under ambient light (φ(PII)’) changed according to depth, while the depth-related electron flow (J(PII)) was similar between regions, suggesting a high degree of community plasticity to changes in the light regime. Our results emphasize the importance of using multiple instrumentation, in addition to traditional seawater and net sampling for a holistic understanding of plankton distributions. Public Library of Science 2022-09-06 /pmc/articles/PMC9447933/ /pubmed/36067176 http://dx.doi.org/10.1371/journal.pone.0273874 Text en © 2022 Fragoso 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.
spellingShingle Research Article
Fragoso, Glaucia M.
Davies, Emlyn J.
Fossum, Trygve O.
Ullgren, Jenny E.
Majaneva, Sanna
Aberle, Nicole
Ludvigsen, Martin
Johnsen, Geir
Contrasting phytoplankton-zooplankton distributions observed through autonomous platforms, in-situ optical sensors and discrete sampling
title Contrasting phytoplankton-zooplankton distributions observed through autonomous platforms, in-situ optical sensors and discrete sampling
title_full Contrasting phytoplankton-zooplankton distributions observed through autonomous platforms, in-situ optical sensors and discrete sampling
title_fullStr Contrasting phytoplankton-zooplankton distributions observed through autonomous platforms, in-situ optical sensors and discrete sampling
title_full_unstemmed Contrasting phytoplankton-zooplankton distributions observed through autonomous platforms, in-situ optical sensors and discrete sampling
title_short Contrasting phytoplankton-zooplankton distributions observed through autonomous platforms, in-situ optical sensors and discrete sampling
title_sort contrasting phytoplankton-zooplankton distributions observed through autonomous platforms, in-situ optical sensors and discrete sampling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9447933/
https://www.ncbi.nlm.nih.gov/pubmed/36067176
http://dx.doi.org/10.1371/journal.pone.0273874
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