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dc.contributor.authorRyan-Keogh, T.J.
dc.contributor.authorRobinson, Charlotte
dc.date.accessioned2023-03-15T08:33:25Z
dc.date.available2023-03-15T08:33:25Z
dc.date.issued2021
dc.identifier.citationRyan-Keogh, T.J. and Robinson, C.M. 2021. Phytoplankton Photophysiology Utilities: A Python Toolbox for the Standardization of Processing Active Chlorophyll-a Fluorescence Data. Frontiers in Marine Science. 8: ARTN 525414.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/91009
dc.identifier.doi10.3389/fmars.2021.525414
dc.description.abstract

The uptake and application of single turnover chlorophyll fluorometers to the study of phytoplankton ecosystem status and microbial functions has grown considerably in the last two decades. However, standardization of measurement protocols, processing of fluorescence transients and quality control of derived photosynthetic parameters is still lacking and makes community goals of large global databases of high-quality data unrealistic. We introduce the Python package Phytoplankton Photophysiology Utilities (PPU), an adaptable and open-source interface between Fast Repetition Rate and Fluorescence Induction and Relaxation instruments and python. The PPU package includes a variety of functions for the loading, processing and quality control of single turnover fluorescence transients from many commercially available instruments. PPU provides the user with greater flexibility in the application of the Kolber-Prasil-Falkowski model; tools for plotting, quality control, correcting instrument biases and high-throughput processing with ease; and a greater appreciation for the uncertainties in derived photosynthetic parameters. Using data from three research cruises across different biogeochemical regimes, we provide example applications of PPU to fit raw active chlorophyll-a fluorescence data from three commercial instruments and demonstrate tools which help to reduce uncertainties in the final fitted parameters.

dc.languageEnglish
dc.publisherFRONTIERS MEDIA SA
dc.relation.sponsoredbyhttp://purl.org/au-research/grants/arc/DP160103387
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectEnvironmental Sciences
dc.subjectMarine & Freshwater Biology
dc.subjectEnvironmental Sciences & Ecology
dc.subjectchlorophyll fluorescence
dc.subjectphotophysiology
dc.subjectpython
dc.subjectfast repetition and relaxation chlorophyll fluorescence induction
dc.subjectfast repetition fluorometry
dc.subjectPHOTOSYNTHETIC ELECTRON-TRANSPORT
dc.subjectNONLINEAR MINIMIZATION SUBJECT
dc.subjectPRIMARY PRODUCTIVITY
dc.subjectIRON LIMITATION
dc.subjectPHOTOSYSTEM-II
dc.subjectPACIFIC-OCEAN
dc.subjectSOUTH-PACIFIC
dc.subjectBLOOM
dc.subjectVARIABILITY
dc.subjectLIGHT
dc.titlePhytoplankton Photophysiology Utilities: A Python Toolbox for the Standardization of Processing Active Chlorophyll-a Fluorescence Data
dc.typeJournal Article
dcterms.source.volume8
dcterms.source.titleFrontiers in Marine Science
dc.date.updated2023-03-15T08:33:25Z
curtin.departmentSchool of Earth and Planetary Sciences (EPS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidRobinson, Charlotte [0000-0001-8519-5641]
curtin.contributor.researcheridRobinson, Charlotte [O-2953-2017]
curtin.identifier.article-numberARTN 525414
dcterms.source.eissn2296-7745
curtin.contributor.scopusauthoridRobinson, Charlotte [57189331987]
curtin.repositoryagreementV3


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