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Single-turnover variable chlorophyll fluorescence as a tool for assessing phytoplankton photosynthesis and primary productivity: Opportunities, caveats and recommendations

Single-turnover variable chlorophyll fluorescence as a tool for assessing phytoplankton photosynthesis and primary productivity: Opportunities, caveats and recommendations
Single-turnover variable chlorophyll fluorescence as a tool for assessing phytoplankton photosynthesis and primary productivity: Opportunities, caveats and recommendations
Phytoplankton photosynthetic physiology can be investigated through single-turnover variable chlorophyll fluorescence (ST-ChlF) approaches, which carry unique potential to autonomously collect data at high spatial and temporal resolution. Over the past decades, significant progress has been made in the development and application of ST-ChlF methods in aquatic ecosystems, and in the interpretation of the resulting observations. At the same time, however, an increasing number of sensor types, sampling protocols, and data processing algorithms have created confusion and uncertainty among potential users, with a growing divergence of practice among different research groups. In this review, we assist the existing and upcoming user community by providing an overview of current approaches and consensus recommendations for the use of ST-ChlF measurements to examine in-situ phytoplankton productivity and photo-physiology. We argue that a consistency of practice and adherence to basic operational and quality control standards is critical to ensuring data inter-comparability. Large datasets of inter-comparable and globally coherent ST-ChlF observations hold the potential to reveal large-scale patterns and trends in phytoplankton photo-physiology, photosynthetic rates and bottom-up controls on primary productivity. As such, they hold great potential to provide invaluable physiological observations on the scales relevant for the development and validation of ecosystem models and remote sensing algorithms.
FRRF, data synthesis, photo-physiology, photosynthesis, phytoplankton, primary productivity, variable chlorophyll fluorescence
2296-7745
Schuback, Nina
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Tortell, P.
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Berman-Frank, I.
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Campbell, Douglas A.
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Hickman, Anna
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Ciotti, Aurea M.
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Courtecuisse, Emilie
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Erickson, Zachary K.
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Fujiki, Tetsuichi
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Halsey, Kimberly
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Hughes, David
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Huot, Yannick
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Gorbunov, Maxim Y.
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Kolber, Z.
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Moore, Christopher
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Oxborough, Kevin
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Prášil, Ondřej
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Robinson, Charlotte Mary
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Ryan-Keogh, T.
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Silsbe, Greg
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Simis, Stefan G. H.
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Suggett, David J.
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Thomalla, Sandy J.
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Varkey, Deepa Ruth
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Schuback, Nina
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Tortell, P.
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Berman-Frank, I.
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Campbell, Douglas A.
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Hickman, Anna
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Ciotti, Aurea M.
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Courtecuisse, Emilie
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Erickson, Zachary K.
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Fujiki, Tetsuichi
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Halsey, Kimberly
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Hughes, David
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Huot, Yannick
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Gorbunov, Maxim Y.
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Kolber, Z.
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Moore, Christopher
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Oxborough, Kevin
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Prášil, Ondřej
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Robinson, Charlotte Mary
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Ryan-Keogh, T.
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Silsbe, Greg
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Simis, Stefan G. H.
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Suggett, David J.
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Thomalla, Sandy J.
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Varkey, Deepa Ruth
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Schuback, Nina, Tortell, P., Berman-Frank, I., Campbell, Douglas A., Hickman, Anna, Ciotti, Aurea M., Courtecuisse, Emilie, Erickson, Zachary K., Fujiki, Tetsuichi, Halsey, Kimberly, Hughes, David, Huot, Yannick, Gorbunov, Maxim Y., Kolber, Z., Moore, Christopher, Oxborough, Kevin, Prášil, Ondřej, Robinson, Charlotte Mary, Ryan-Keogh, T., Silsbe, Greg, Simis, Stefan G. H., Suggett, David J., Thomalla, Sandy J. and Varkey, Deepa Ruth (2021) Single-turnover variable chlorophyll fluorescence as a tool for assessing phytoplankton photosynthesis and primary productivity: Opportunities, caveats and recommendations. Frontiers in Marine Science, 8, [690607]. (doi:10.3389/fmars.2021.690607).

Record type: Article

Abstract

Phytoplankton photosynthetic physiology can be investigated through single-turnover variable chlorophyll fluorescence (ST-ChlF) approaches, which carry unique potential to autonomously collect data at high spatial and temporal resolution. Over the past decades, significant progress has been made in the development and application of ST-ChlF methods in aquatic ecosystems, and in the interpretation of the resulting observations. At the same time, however, an increasing number of sensor types, sampling protocols, and data processing algorithms have created confusion and uncertainty among potential users, with a growing divergence of practice among different research groups. In this review, we assist the existing and upcoming user community by providing an overview of current approaches and consensus recommendations for the use of ST-ChlF measurements to examine in-situ phytoplankton productivity and photo-physiology. We argue that a consistency of practice and adherence to basic operational and quality control standards is critical to ensuring data inter-comparability. Large datasets of inter-comparable and globally coherent ST-ChlF observations hold the potential to reveal large-scale patterns and trends in phytoplankton photo-physiology, photosynthetic rates and bottom-up controls on primary productivity. As such, they hold great potential to provide invaluable physiological observations on the scales relevant for the development and validation of ecosystem models and remote sensing algorithms.

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fmars-08-690607 - Version of Record
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Accepted/In Press date: 18 June 2021
Published date: 14 July 2021
Keywords: FRRF, data synthesis, photo-physiology, photosynthesis, phytoplankton, primary productivity, variable chlorophyll fluorescence

Identifiers

Local EPrints ID: 451302
URI: http://eprints.soton.ac.uk/id/eprint/451302
ISSN: 2296-7745
PURE UUID: 6a5a4e89-98e6-4ee3-871d-fa323efd2c30
ORCID for Anna Hickman: ORCID iD orcid.org/0000-0002-2774-3934
ORCID for Christopher Moore: ORCID iD orcid.org/0000-0002-9541-6046

Catalogue record

Date deposited: 20 Sep 2021 16:31
Last modified: 26 Nov 2021 02:58

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Contributors

Author: Nina Schuback
Author: P. Tortell
Author: I. Berman-Frank
Author: Douglas A. Campbell
Author: Anna Hickman ORCID iD
Author: Aurea M. Ciotti
Author: Emilie Courtecuisse
Author: Zachary K. Erickson
Author: Tetsuichi Fujiki
Author: Kimberly Halsey
Author: David Hughes
Author: Yannick Huot
Author: Maxim Y. Gorbunov
Author: Z. Kolber
Author: Kevin Oxborough
Author: Ondřej Prášil
Author: Charlotte Mary Robinson
Author: T. Ryan-Keogh
Author: Greg Silsbe
Author: Stefan G. H. Simis
Author: David J. Suggett
Author: Sandy J. Thomalla
Author: Deepa Ruth Varkey

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