Single-Turnover Variable Chlorophyll Fluorescence as a Tool for Assessing Phytoplankton Photosynthesis and Primary Productivity: Opportunities, Caveats and Recommendations

Nina Schuback, Philippe D. Tortell, Ilana Berman-Frank, Douglas A. Campbell, Aurea Ciotti, Emilie Courtecuisse, Zachary K. Erickson, Tetsuichi Fujiki, Kimberly Halsey, Anna E. Hickman, Yannick Huot, Maxime Y. Gorbunov, David J. Hughes, Zbigniew S. Kolber, C. Mark Moore, Kevin Oxborough, Ondřej Prášil, Charlotte M. Robinson, Thomas J. Ryan-Keogh, Greg SilsbeStefan Simis, David J. Suggett, Sandy Thomalla, Deepa R. Varkey

Research output: Contribution to journalReview articlepeer-review

28 Scopus citations

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.

Original languageEnglish
Article number690607
JournalFrontiers in Marine Science
Volume8
DOIs
StatePublished - 14 Jul 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© Copyright © 2021 Schuback, Tortell, Berman-Frank, Campbell, Ciotti, Courtecuisse, Erickson, Fujiki, Halsey, Hickman, Huot, Gorbunov, Hughes, Kolber, Moore, Oxborough, Prášil, Robinson, Ryan-Keogh, Silsbe, Simis, Suggett, Thomalla and Varkey.

Funding

OP was supported by GACR project 20-17627S. SS was supported through the European Union’s Horizon 2020 research and innovation program under grant agreement No 776480. EC was supported through NERC grant NE/R011605/1. CM and KO was supported through NERC grant NE/P020844/1.

FundersFunder number
Horizon 2020 Framework Programme776480
Natural Environment Research CouncilNE/R011605/1, NE/P020844/1
Grantová Agentura České Republiky20-17627S

    Keywords

    • FRRF
    • data synthesis
    • photo-physiology
    • photosynthesis
    • phytoplankton
    • primary productivity
    • variable chlorophyll fluorescence

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