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Elodie Martinez1,2*
Thomas Gorgues1
Matthieu Lengaigne3†
Raphaëlle Sauzède2†
Christophe Menkes4
Julia Uitz5
Emanuele Di Lorenzo6
Ronan Fablet7- 1LOPS, IUEM, IRD, Ifremer, CNRS, Univ. Brest, Brest, France
- 2EIO, IRD, Ifremer, UPF and ILM, Tahiti, French Polynesia
- 3LOCEAN-IPSL, Sorbonne Universités/UPMC-CNRS-IRD-MNHN, Paris, France
- 4ENTROPIE, IRD, Univ. de la Réunion, CNRS, Univ. de la Nouvelle Calédonie, Ifremer, Noumea, New Caledonia
- 5Laboratoire d’Océanographie de Villefranche, CNRS and Sorbonne Université, Villefranche-sur-Mer, France
- 6Georgia Institute of Technology, Atlanta, GA, United States
- 7IMT Atlantique, Lab-STICC, UMR CNRS 6285, Brest, France
A Corrigendum on
Reconstructing global chlorophyll-a variations using a non-linear statistical approach
By Martinez E, Gorgues T, Lengaigne M, Sauzède R, Menkes C, Uitz J, Di Lorenzo E and Fablet R (2020). Front. Mar. Sci. 7:464. doi: 10.3389/fmars.2020.00464
Error in Author List
In the published article, there was an error in the author list, and author Clément Fontana was erroneously included as a co-author as well as in the Author Contributions section.
The corrected author list appears below.
Elodie Martinez1,2*, Thomas Gorgues1, Matthieu Lengaigne3†, Raphaëlle Sauzède2†, Christophe Menkes4, Julia Uitz5, Emanuele Di Lorenzo6 and Ronan Fablet7
The corrected Author Contributions section appears below.
EM led the project, analyzed the results, and wrote the first draft of the manuscript. TG provided the physical model outputs. TG and ML provided support in the analysis and the writing of the manuscript. RF provided the feedbacks on the statistical approach. All the authors contributed to the development of the manuscript and provided the feedbacks throughout its many stages of preparation.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: machine learning, phytoplankton variability, satellite ocean color, decadal variability, global scale
Citation: Martinez E, Gorgues T, Lengaigne M, Sauzède R, Menkes C, Uitz J, Di Lorenzo E and Fablet R (2024) Corrigendum: Reconstructing global chlorophyll-a variations using a non-linear statistical approach. Front. Mar. Sci. 11:1419611. doi: 10.3389/fmars.2024.1419611
Received: 18 April 2024; Accepted: 23 April 2024;
Published: 08 May 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Martinez, Gorgues, Lengaigne, Sauzède, Menkes, Uitz, Di Lorenzo and Fablet. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Elodie Martinez, ZWxvZGllLm1hcnRpbmV6QGlyZC5mcg==
†Present address: Matthieu Lengaigne, MARBEC, University of Montpellier, CNRS, IFREMER, IRD, Sete, France; Raphaëlle Sauzède, CNRS-INSU, Institut de la Mer de Villefranche, Sorbonne Universités, Villefranche-sur-Mer, France