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dc.contributor.authorGittings, John
dc.contributor.authorRaitsos, Dionysios E.
dc.contributor.authorKheireddine, Malika
dc.contributor.authorRacault, Marie-Fanny
dc.contributor.authorClaustre, Hervé
dc.contributor.authorHoteit, Ibrahim
dc.date.accessioned2019-02-10T06:03:17Z
dc.date.available2019-02-10T06:03:17Z
dc.date.issued2019-01-24
dc.identifier.citationGittings JA, Raitsos DE, Kheireddine M, Racault M-F, Claustre H, et al. (2019) Evaluating tropical phytoplankton phenology metrics using contemporary tools. Scientific Reports 9. Available: http://dx.doi.org/10.1038/s41598-018-37370-4.
dc.identifier.issn2045-2322
dc.identifier.doi10.1038/s41598-018-37370-4
dc.identifier.urihttp://hdl.handle.net/10754/630999
dc.description.abstractThe timing of phytoplankton growth (phenology) in tropical oceans is a crucial factor influencing the survival rates of higher trophic levels, food web structure and the functioning of coral reef ecosystems. Phytoplankton phenology is thus categorised as an 'ecosystem indicator', which can be utilised to assess ecosystem health in response to environmental and climatic perturbations. Ocean-colour remote sensing is currently the only technique providing global, long-term, synoptic estimates of phenology. However, due to limited available in situ datasets, studies dedicated to the validation of satellite-derived phenology metrics are sparse. The recent development of autonomous oceanographic observation platforms provides an opportunity to bridge this gap. Here, we use satellite-derived surface chlorophyll-a (Chl-a) observations, in conjunction with a Biogeochemical-Argo dataset, to assess the capability of remote sensing to estimate phytoplankton phenology metrics in the northern Red Sea - a typical tropical marine ecosystem. We find that phenology metrics derived from both contemporary platforms match with a high degree of precision (within the same 5-day period). The remotely-sensed surface signatures reflect the overall water column dynamics and successfully capture Chl-a variability related to convective mixing. Our findings offer important insights into the capability of remote sensing for monitoring food availability in tropical marine ecosystems, and support the use of satellite-derived phenology as an ecosystem indicator for marine management strategies in regions with limited data availability.
dc.description.sponsorshipThe authors are grateful to the Ocean Colour CCI team (European Space Agency) for providing and processing the Chl-a dataset. We acknowledge Mustapha Ouhssain, Antoine Poteau, Catherine Schmechtig and the Coastal & Marine Resources Core Lab (CMOR) of King Abdullah University of Science and Technology (KAUST) for technical support, the installation of sensors and the deployment of the BGC-Argo float. The authors would also like to thank George Krokos for useful discussions. This work was funded by the KAUST Office of Sponsored Research (OSR) under the Collaborative Research Grant (CRG) program (Grant # URF/1/2979-01-01) and the Virtual Red Sea Initiative (Grant # REP/1/3268-01-01), and the Remotely Sensed Biogeochemical Cycles in the Ocean (remOcean) project, funded by the European Research Council (GA 246777). The BGC-Argo data used in this manuscript were collected and made freely available by the International Argo Program and the national programs that contribute to it (http://www.argo.ucsd.edu, http://argo.jcommops.org). The Argo Program is part of the Global Ocean Observing System.
dc.publisherSpringer Nature
dc.relation.urlhttps://www.nature.com/articles/s41598-018-37370-4
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleEvaluating tropical phytoplankton phenology metrics using contemporary tools
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentMarine Science Program
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Division
dc.contributor.departmentEarth Science and Engineering Program
dc.identifier.journalScientific Reports
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionDepartment of Biology, National and Kapodistrian University of Athens, Athens, Greece.
dc.contributor.institutionNational Centre for Earth Observation (NCEO), Plymouth Marine Laboratory (PML), The Hoe, Plymouth, PL1 3DH, United Kingdom.
dc.contributor.institutionRemote Sensing Group, Plymouth Marine Laboratory (PML), The Hoe, Plymouth, PL1 3DH, United Kingdom.
dc.contributor.institutionMarine Optics and Remote Sensing Laboratory, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France.
kaust.personGittings, John
kaust.personKheireddine, Malika
kaust.personHoteit, Ibrahim
kaust.grant.numberURF/1/2979-01-01
kaust.grant.numberREP/1/3268-01-01
refterms.dateFOA2019-02-10T08:08:19Z
dc.date.published-online2019-01-24
dc.date.published-print2019-12


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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.