TY - JOUR
T1 - Single-turnover variable chlorophyll fluorescence as a tool for assessing phytoplankton photosynthesis and primary productivity
T2 - opportunities, caveats and recommendations
AU - Schuback, Nina
AU - Tortell, Philippe D.
AU - Berman-Frank, Ilana
AU - Campbell, Douglas A.
AU - Ciotti, Aurea
AU - Courtecuisse, Emilie
AU - Erickson, Zachary K.
AU - Fujiki, Tetsuichi
AU - Halsey, Kimberly
AU - Hickman, Anna E.
AU - Huot, Yannick
AU - Gorbunov, Maxime Y.
AU - Hughes, David J.
AU - Kolber, Zbigniew S.
AU - Moore, C. Mark
AU - Oxborough, Kevin
AU - Prášil, Ondřej
AU - Robinson, Charlotte M.
AU - Ryan-Keogh, Thomas J.
AU - Silsbe, Greg
AU - Simis, Stefan
AU - Suggett, David J.
AU - Thomalla, Sandy
AU - Varkey, Deepa R.
N1 - Copyright the Author(s) 2021. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2021/7
Y1 - 2021/7
N2 - 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.
AB - 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.
KW - variable chlorophyll fluorescence
KW - phytoplankton
KW - photo-physiology
KW - photosynthesis
KW - primary productivity
KW - data synthesis
KW - FRRF
UR - http://www.scopus.com/inward/record.url?scp=85111435873&partnerID=8YFLogxK
U2 - 10.3389/fmars.2021.690607
DO - 10.3389/fmars.2021.690607
M3 - Review article
SN - 2296-7745
VL - 8
SP - 1
EP - 24
JO - Frontiers in Marine Science
JF - Frontiers in Marine Science
M1 - 690607
ER -